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Bing Xue 0001

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affiliation: Victoria University of Wellington, New Zealand

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2024
[j157]
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. IEEE Comput. Intell. Mag. 19(1): 36-50 (2024)
[j156]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. IEEE Comput. Intell. Mag. 19(3): 26-41 (2024)
[j155]
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Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56(2): 41:1-41:34 (2024)
[j154]
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Junhong Zhao, Bing Xue, Mengjie Zhang:
SGformer: Boosting transformers for indoor lighting estimation from a single image. Comput. Vis. Media 10(4): 671-686 (2024)
[j153]
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Ruwang Jiao, Bing Xue, Mengjie Zhang:
A Tri-Objective Method for Bi-Objective Feature Selection in Classification. Evol. Comput. 32(3): 217-248 (2024)
[j152]
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. 25(1): 2 (2024)
[j151]
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Gonglin Yuan, Bing Xue, Mengjie Zhang:
An evolutionary neural architecture search method based on performance prediction and weight inheritance. Inf. Sci. 667: 120466 (2024)
[j150]
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  - journals/kbs/FanBXZ24
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Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
A genetic programming-based method for image classification with small training data. Knowl. Based Syst. 283: 111188 (2024)
[j149]
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  - journals/memetic/PengCZX24
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Yiming Peng, Gang Chen, Mengjie Zhang, Bing Xue:
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. Memetic Comput. 16(3): 445-466 (2024)
[j148]
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Emrah Hancer, Bing Xue, Mengjie Zhang:
A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification. IEEE Trans. Artif. Intell. 5(9): 4428-4442 (2024)
[j147]
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Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming for Document Classification: A Transductive Transfer Learning System. IEEE Trans. Cybern. 54(2): 1119-1132 (2024)
[j146]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Trans. Cybern. 54(7): 4014-4027 (2024)
[j145]
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  - journals/tec/NguyenXZ24
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Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. IEEE Trans. Evol. Comput. 28(1): 2-16 (2024)
[j144]
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Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. IEEE Trans. Evol. Comput. 28(2): 307-322 (2024)
[j143]
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Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang:
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? IEEE Trans. Evol. Comput. 28(2): 353-373 (2024)
[j142]
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  - journals/tec/SunXZY24
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Guest Editorial Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 566-569 (2024)
[j141]
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Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Trans. Evol. Comput. 28(3): 718-732 (2024)
[j140]
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Haitong Zhao, Changsheng Zhang, Bing Xue, Mengjie Zhang, Bin Zhang:
A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation. IEEE Trans. Evol. Comput. 28(3): 810-824 (2024)
[j139]
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Ruwang Jiao, Bing Xue, Mengjie Zhang:
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. IEEE Trans. Evol. Comput. 28(4): 846-860 (2024)
[j138]
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Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. IEEE Trans. Evol. Comput. 28(4): 903-917 (2024)
[j137]
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Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Trans. Evol. Comput. 28(4): 1156-1176 (2024)
[j136]
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  - journals/tec/YuanWXZ24
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Gonglin Yuan, Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy. IEEE Trans. Evol. Comput. 28(5): 1190-1204 (2024)
[j135]
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  - journals/tec/SongWXZJ24
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Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1286-1300 (2024)
[j134]
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Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang:
A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. IEEE Trans. Evol. Comput. 28(5): 1366-1380 (2024)
[j133]
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. IEEE Trans. Evol. Comput. 28(5): 1455-1469 (2024)
[j132]
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  - journals/tec/ZhangZCXZ24
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Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. IEEE Trans. Evol. Comput. 28(5): 1484-1498 (2024)
[j131]
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. IEEE Trans. Evol. Comput. 28(6): 1689-1703 (2024)
[j130]
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Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang:
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection. IEEE Trans. Evol. Comput. 28(6): 1824-1837 (2024)
[j129]
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  - journals/tec/LinCXZ24
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Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Evolutionary Multitasking for Multiobjective Feature Selection in Classification. IEEE Trans. Evol. Comput. 28(6): 1852-1866 (2024)
[j128]
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  - journals/tetci/AlHelaliCXZ24
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2269-2282 (2024)
[j127]
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Hang Xu, Bing Xue, Mengjie Zhang:
A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3489-3502 (2024)
[j126]
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  - journals/tgrs/LiangYBQLXZ24
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Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang:
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024)
[j125]
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  - journals/tgrs/LiuSXCZ24
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Shihui Liu, Meiping Song, Bing Xue, Chein-I Chang, Mengjie Zhang:
Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024)
[j124]
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  - journals/tnn/YangXTZ24
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Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang:
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6863-6877 (2024)
[j123]
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Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen:
Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13523-13537 (2024)
[c282]
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  - conf/cec/AinA0024
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. CEC 2024: 1-8
[c281]
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  - conf/cec/DemirNR0ZLMGK24
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Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. CEC 2024: 1-8
[c280]
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  - conf/cec/HarperL0V024
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Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
Evaluating Machine Learning Techniques for Predicting Salinity. CEC 2024: 1-8
[c279]
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  - conf/cec/Nguyen0024
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Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Label Selection for Multi-label Classification. CEC 2024: 1-8
[c278]
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  - conf/cec/TangCXHZ24
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Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang:
Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. CEC 2024: 1-8
[c277]
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  - conf/cec/ViswambaranN0024
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Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. CEC 2024: 1-8
[c276]
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Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. CEC 2024: 1-8
[c275]
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Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. CEC 2024: 1-8
[c274]
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Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang:
A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. CEC 2024: 1-8
[c273]
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  - conf/eurogp/ZhangCXBZ24
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP 2024: 142-158
[c272]
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Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. EvoApplications@EvoStar 2024: 196-211
[c271]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. GECCO 2024
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Jiahong Wei, Bing Xue, Mengjie Zhang:
EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation. GECCO 2024
[c269]
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  - conf/gecco/ZhangCXB024
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO 2024
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. GECCO Companion 2024: 65-66
[c267]
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. GECCO Companion 2024: 271-274
[c266]
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Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng:
A Phenotypic Learning Classifier System for Problems with Continuous Features. GECCO 2024
[c265]
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Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. GECCO Companion 2024: 543-546
[c264]
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Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang:
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. GECCO Companion 2024: 555-558
[c263]
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Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion 2024: 1158-1186
[c262]
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. PPSN (1) 2024: 201-220
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Mario Giacobini, Bing Xue, Luca Manzoni:
Genetic Programming - 27th European Conference, EuroGP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings. Lecture Notes in Computer Science 14631, Springer 2024, ISBN 978-3-031-56956-2 [contents]
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Consistent Lebesgue Measure for Multi-label Learning. CoRR abs/2402.00324 (2024)
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. CoRR abs/2403.00865 (2024)
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Paula Maddigan, Andrew Lensen, Bing Xue:
Explaining Genetic Programming Trees using Large Language Models. CoRR abs/2403.03397 (2024)
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Ben Cravens, Andrew Lensen, Paula Maddigan, Bing Xue:
Genetic Programming for Explainable Manifold Learning. CoRR abs/2403.14139 (2024)
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  - journals/corr/abs-2405-06869
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR abs/2405.06869 (2024)
[i39]
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  - journals/corr/abs-2406-07983
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Meta-Learning Neural Procedural Biases. CoRR abs/2406.07983 (2024)
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  - journals/corr/abs-2407-08745
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Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera:
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR abs/2407.08745 (2024)
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  - journals/corr/abs-2409-17526
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Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green:
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Integrating SGBM and Segmentation Models. CoRR abs/2409.17526 (2024)
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  - journals/corr/abs-2409-19688
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Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis. CoRR abs/2409.19688 (2024)
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  - journals/corr/abs-2410-00503
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Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green:
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration. CoRR abs/2410.00503 (2024)
2023
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 62-63 (2023)
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Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626: 586-606 (2023)
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An-Da Li, Bing Xue, Mengjie Zhang:
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Inf. Sci. 641: 119062 (2023)
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  - journals/kbs/HancerXZ23
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Emrah Hancer, Bing Xue, Mengjie Zhang:
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios. Knowl. Based Syst. 280: 111008 (2023)
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13699-13714 (2023)
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Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140: 109523 (2023)
[j116]
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Ying Bi, Bing Xue, Mengjie Zhang:
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans. Cybern. 53(2): 1118-1132 (2023)
[j115]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. IEEE Trans. Cybern. 53(5): 2727-2740 (2023)
[j114]
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Ying Bi, Bing Xue, Mengjie Zhang:
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Trans. Cybern. 53(5): 3007-3020 (2023)
[j113]
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Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53(7): 4579-4593 (2023)
[j112]
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Ruwang Jiao, Bing Xue, Mengjie Zhang:
A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(8): 5165-5177 (2023)
[j111]
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Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53(10): 6676-6689 (2023)
[j110]
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Ruwang Jiao, Bing Xue, Mengjie Zhang:
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. IEEE Trans. Cybern. 53(12): 7773-7786 (2023)
[j109]
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  - journals/tec/BiXMCZ23
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Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27(1): 5-25 (2023)
[j108]
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Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27(2): 296-310 (2023)
[j107]
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Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. IEEE Trans. Evol. Comput. 27(3): 460-474 (2023)
[j106]
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Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang:
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27(3): 621-641 (2023)
[j105]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27(4): 1130-1144 (2023)
[j104]
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Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen:
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. IEEE Trans. Evol. Comput. 27(5): 1298-1312 (2023)
[j103]
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  - journals/tnn/LiuSXZYT23
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Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan:
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34(2): 550-570 (2023)
[j102]
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Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang:
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7621-7634 (2023)
[j101]
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Qinge Xiao, Ben Niu, Bing Xue, Luoke Hu:
Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2802-2814 (2023)
[c261]
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  - conf/acivs/RogersDFMFXZD23
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Mitchell Rogers, Igor Debski, Johannes Fischer, Peter McComb, Peter Frost, Bing Xue, Mengjie Zhang, Patrice Delmas:
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging. ACIVS 2023: 287-298
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Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang:
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. AusDM 2023: 163-176
[c259]
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Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. AusDM 2023: 254-269
[c258]
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  - conf/eurogp/ZhangCTXBZ23
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Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP 2023: 84-100
[c257]
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  - conf/evoapps/LinCXZ13
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Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar 2023: 623-639
[c256]
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Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion 2023: 49-50
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Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng:
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. GECCO Companion 2023: 299-302
[c254]
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Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO 2023: 420-428
[c253]
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  - conf/gecco/DemirN0023
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO 2023: 438-446
[c252]
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Gonglin Yuan, Bing Xue, Mengjie Zhang:
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. GECCO 2023: 615-623
[c251]
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Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. GECCO Companion 2023: 655-658
[c250]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. GECCO Companion 2023: 707-710
[c249]
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Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion 2023: 1129-1156
[c248]
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  - conf/gecco/RaymondC0023
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO 2023: 1184-1193
[c247]
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO 2023: 1194-1202
[c246]
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  - conf/inns-dlia/KnoxXZ23
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David Knox, Bing Xue, Mengjie Zhang:
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. INNS DLIA@IJCNN 2023: 636-645
[c245]
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David Knox, Bing Xue, Mengjie Zhang, Jeromy Cuff:
Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks. IVCNZ 2023: 1-6
[c244]
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Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. IVCNZ 2023: 1-6
[c243]
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Hamish O'Keeffe, Bing Xue, Mengjie Zhang, Nicola Hawes, Cris Lovell-Smith:
Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels. IVCNZ 2023: 1-6
[c242]
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  - conf/ivcnz/SunXZS23
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Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler:
An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery. IVCNZ 2023: 1-6
[c241]
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Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. IVCNZ 2023: 1-6
[c240]
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Junhong Zhao, Carl McMillan, Bing Xue, Ross Vennell, Mengjie Zhang:
Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming. IVCNZ 2023: 1-6
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Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary. IVCNZ 2023: 1-6
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Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) 2023: 385-397
[i34]
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  - journals/corr/abs-2301-13247
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Online Loss Function Learning. CoRR abs/2301.13247 (2023)
[i33]
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Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. CoRR abs/2308.09238 (2023)
2022
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Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan:
A Survey on Fault Diagnosis of Rolling Bearings. Algorithms 15(10): 347 (2022)
[j99]
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Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming for feature extraction and construction in image classification. Appl. Soft Comput. 118: 108509 (2022)
[j98]
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Feng Chen, Jiangshu Wei, Bing Xue, Mengjie Zhang:
Feature fusion and kernel selective in Inception-v4 network. Appl. Soft Comput. 119: 108582 (2022)
[j97]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. Evol. Comput. 30(1): 99-129 (2022)
[j96]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic programming for automatic skin cancer image classification. Expert Syst. Appl. 197: 116680 (2022)
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Ying Bi, Bing Xue, Mengjie Zhang:
Using a small number of training instances in genetic programming for face image classification. Inf. Sci. 593: 488-504 (2022)
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Emrah Hancer, Bing Xue, Mengjie Zhang:
Fuzzy filter cost-sensitive feature selection with differential evolution. Knowl. Based Syst. 241: 108259 (2022)
[j93]
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Yi Liu, Will N. Browne, Bing Xue:
Visualizations for rule-based machine learning. Nat. Comput. 21(2): 243-264 (2022)
[j92]
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Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu:
An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote. Sens. 14(5): 1275 (2022)
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Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu:
Genetic Programming for High-Level Feature Learning in Crop Classification. Remote. Sens. 14(16): 3982 (2022)
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Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv:
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. IEEE Trans. Artif. Intell. 3(4): 526-540 (2022)
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Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Trans. Cybern. 52(1): 25-38 (2022)
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Qi Chen, Bing Xue, Mengjie Zhang:
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. 52(4): 2382-2395 (2022)
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Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Trans. Cybern. 52(7): 7172-7186 (2022)
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Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Trans. Cybern. 52(8): 8272-8285 (2022)
[j85]
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Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. IEEE Trans. Evol. Comput. 26(2): 218-232 (2022)
[j84]
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Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(3): 446-460 (2022)
[j83]
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Ying Bi, Bing Xue, Mengjie Zhang:
Dual-Tree Genetic Programming for Few-Shot Image Classification. IEEE Trans. Evol. Comput. 26(3): 555-569 (2022)
[j82]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. 26(4): 661-675 (2022)
[j81]
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Ruwang Jiao, Bing Xue, Mengjie Zhang:
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. IEEE Trans. Evol. Comput. 26(5): 872-885 (2022)
[j80]
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Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(5): 1015-1029 (2022)
[j79]
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Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26(6): 1473-1485 (2022)
[j78]
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Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3727-3740 (2022)
[j77]
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Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
Token replacement-based data augmentation methods for hate speech detection. World Wide Web 25(3): 1129-1150 (2022)
[c237]
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Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. AI 2022: 116-130
[c236]
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Ruwang Jiao, Bing Xue, Mengjie Zhang:
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. AI 2022: 237-251
[c235]
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Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI 2022: 279-293
[c234]
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Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. AI 2022: 294-307
[c233]
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  - conf/ausai/WoodNXZK22
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Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel Killeen:
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. AI 2022: 516-529
[c232]
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  - conf/eurogp/RaymondCXZ22
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. EuroGP 2022: 51-67
[c231]
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  - conf/evoW/RobinsonCXKGZ22
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Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Keith C. Gordon, Mengjie Zhang:
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. EvoApplications 2022: 283-298
[c230]
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Yi Liu, Will N. Browne, Bing Xue:
A comparison of rule compaction algorithms for michigan style learning classifier systems. GECCO Companion 2022: 31-32
[c229]
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  - conf/gecco/DemirN0022
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation for sparsity-based feature selection in multi-label classification. GECCO Companion 2022: 232-235
[c228]
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Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion 2022: 264-267
[c227]
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Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2022: 1200-1229
[c226]
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  - conf/icdm/AinXAZ22
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Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. ICDM (Workshops) 2022: 378-387
[c225]
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Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler:
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. IVCNZ 2022: 188-201
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Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang:
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. SSCI 2022: 626-633
[c223]
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Finn Sargisson, Xiaoying Gao, Bing Xue:
Learning CNN architecture for multi-view text classification using genetic algorithms. SSCI 2022: 1507-1514
[c222]
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Yan Lu, Bach Hoai Nguyen, Bing Xue:
Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection. SSCI 2022: 1515-1522
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Eric Medvet, Gisele L. Pappa, Bing Xue:
Genetic Programming - 25th European Conference, EuroGP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13223, Springer 2022, ISBN 978-3-031-02055-1 [contents]
[i32]
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Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues. CoRR abs/2208.10658 (2022)
[i31]
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  - journals/corr/abs-2209-06399
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Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR abs/2209.06399 (2022)
[i30]
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. CoRR abs/2209.08907 (2022)
[i29]
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Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. CoRR abs/2209.13233 (2022)
[i28]
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Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. CoRR abs/2211.15143 (2022)
[i27]
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  - journals/corr/abs-2212-03942
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Bin Wang, Bing Xue, Mengjie Zhang:
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. CoRR abs/2212.03942 (2022)
2021
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification. Appl. Soft Comput. 101: 106989 (2021)
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Ying Bi, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for feature learning in face recognition. Appl. Soft Comput. 103: 107152 (2021)
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Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features. Appl. Soft Comput. 103: 107172 (2021)
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An-Da Li, Bing Xue, Mengjie Zhang:
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies. Appl. Soft Comput. 106: 107302 (2021)
[j72]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]. IEEE Comput. Intell. Mag. 16(1): 84-98 (2021)
[j71]
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Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan:
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]. IEEE Comput. Intell. Mag. 16(3): 79-94 (2021)
[j70]
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Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances. Evol. Comput. 29(3): 331-366 (2021)
[j69]
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Shima Afzali Vahed Moghaddam, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
An automatic feature construction method for salient object detection: A genetic programming approach. Expert Syst. Appl. 186: 115726 (2021)
[j68]
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Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Output-based transfer learning in genetic programming for document classification. Knowl. Based Syst. 212: 106597 (2021)
[j67]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Comput. 25(8): 5993-6012 (2021)
[j66]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation. IEEE Trans. Cybern. 51(2): 589-603 (2021)
[j65]
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Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification. IEEE Trans. Cybern. 51(4): 1769-1783 (2021)
[j64]
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Bo Peng, Shuting Wan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis. IEEE Trans. Cybern. 51(10): 4909-4923 (2021)
[j63]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization. IEEE Trans. Cybern. 51(11): 5468-5482 (2021)
[j62]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. IEEE Trans. Cybern. 51(12): 6319-6332 (2021)
[j61]
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Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification. IEEE Trans. Evol. Comput. 25(1): 87-101 (2021)
[j60]
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Hang Xu, Bing Xue, Mengjie Zhang:
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection. IEEE Trans. Evol. Comput. 25(2): 205-218 (2021)
[j59]
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Qi Chen, Bing Xue, Mengjie Zhang:
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. IEEE Trans. Evol. Comput. 25(3): 433-447 (2021)
[j58]
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Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue:
Guest Editorial Evolutionary Computation Meets Deep Learning. IEEE Trans. Evol. Comput. 25(5): 810-814 (2021)
[j57]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. IEEE Trans. Evol. Comput. 25(6): 1049-1063 (2021)
[j56]
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Damien O'Neill, Bing Xue, Mengjie Zhang:
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks. IEEE Trans. Evol. Comput. 25(6): 1118-1132 (2021)
[j55]
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Ying Bi, Bing Xue, Mengjie Zhang:
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification. IEEE Trans. Evol. Comput. 25(6): 1148-1162 (2021)
[j54]
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Yi Liu, Will N. Browne, Bing Xue:
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization. ACM Trans. Evol. Learn. Optim. 1(3): 10:1-10:38 (2021)
[j53]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 554-569 (2021)
[c221]
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  - conf/cec/RobinsonC0KFGO021
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Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang:
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. CEC 2021: 272-279
[c220]
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Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang:
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. CEC 2021: 588-595
[c219]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. CEC 2021: 604-611
[c218]
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Hayden Andersen, Andrew Lensen, Bing Xue:
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. CEC 2021: 688-695
[c217]
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  - conf/cec/DemirN0021
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. CEC 2021: 760-767
[c216]
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An-Da Li, Bing Xue, Mengjie Zhang:
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. CEC 2021: 786-793
[c215]
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  - conf/cec/GhoshX021
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Arka Ghosh, Bing Xue, Mengjie Zhang:
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. CEC 2021: 794-801
[c214]
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  - conf/cec/Huang0S021
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Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. CEC 2021: 934-941
[c213]
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  - conf/cec/Viswambaran00N21
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Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. CEC 2021: 942-949
[c212]
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Hayden Andersen, Sean Stevenson, Tuan Ha, Xiaoying Gao, Bing Xue:
Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches. CEC 2021: 1241-1248
[c211]
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Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang:
Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. CEC 2021: 1735-1742
[c210]
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Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. CEC 2021: 2015-2022
[c209]
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Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang:
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. CEC 2021: 2053-2060
[c208]
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  - conf/evoW/WangXLZ21
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Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. EvoApplications 2021: 489-505
[c207]
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Sparsity-based evolutionary multi-objective feature selection for multi-label classification. GECCO Companion 2021: 147-148
[c206]
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  - conf/gecco/Raymond00021
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. GECCO Companion 2021: 165-166
[c205]
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Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. GECCO Companion 2021: 173-174
[c204]
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Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming with a new representation and a new mutation operator for image classification. GECCO Companion 2021: 249-250
[c203]
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Bin Wang, Bing Xue, Mengjie Zhang:
A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks. GECCO Companion 2021: 287-288
[c202]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for borderline instance detection in high-dimensional unbalanced classification. GECCO 2021: 349-357
[c201]
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Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2021: 1141-1168
[c200]
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  - conf/incdm/DemirNXZ21
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification. ICDM (Workshops) 2021: 823-832
[c199]
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Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector. ICDM (Workshops) 2021: 833-842
[c198]
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  - conf/ivcnz/BuchananBXVCPBZ21
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Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang:
Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. IVCNZ 2021: 1-6
[c197]
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Yunhan Yang, Bing Xue, Linley Jesson, Matthew Wylie, Mengjie Zhang, Maren Wellenreuther:
Deep Convolutional Neural Networks for Fish Weight Prediction from Images. IVCNZ 2021: 1-6
[c196]
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  - conf/pricai/MadukweGX21
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Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task. PRICAI (2) 2021: 273-286
[c195]
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Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, Bing Xue:
MGEoT: A Multi-grained Ensemble Method for Time Series Classification. PRICAI (1) 2021: 397-410
[c194]
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  - conf/pricai/YuanXZ21
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Gonglin Yuan, Bing Xue, Mengjie Zhang:
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification. PRICAI (1) 2021: 469-484
[c193]
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  - conf/ssci/McLeayMBBXVZ21
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Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell, Mengjie Zhang:
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms. SSCI 2021: 1-8
[i26]
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Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. CoRR abs/2108.03856 (2021)
[i25]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. CoRR abs/2108.09914 (2021)
2020
[j52]
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Emrah Hancer, Bing Xue, Mengjie Zhang:
A survey on feature selection approaches for clustering. Artif. Intell. Rev. 53(6): 4519-4545 (2020)
[j51]
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Stefano Cagnoni, Harith Al-Sahaf, Yanan Sun, Bing Xue, Mengjie Zhang:
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition. Appl. Soft Comput. 97(Part B): 106675 (2020)
[j50]
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Ying Bi, Bing Xue, Mengjie Zhang:
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]. IEEE Comput. Intell. Mag. 15(2): 65-77 (2020)
[j49]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. 28(4): 531-561 (2020)
[j48]
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Andrea De Lorenzo, Alberto Bartoli, Mauro Castelli, Eric Medvet, Bing Xue:
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genet. Program. Evolvable Mach. 21(1-2): 181-204 (2020)
[j47]
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Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality. Genet. Program. Evolvable Mach. 21(3): 399-431 (2020)
[j46]
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An-Da Li, Bing Xue, Mengjie Zhang:
Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection. Inf. Sci. 523: 245-265 (2020)
[j45]
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Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks. Knowl. Based Syst. 194: 105568 (2020)
[j44]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism. Soft Comput. 24(23): 18021-18038 (2020)
[j43]
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Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A survey on swarm intelligence approaches to feature selection in data mining. Swarm Evol. Comput. 54: 100663 (2020)
[j42]
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng Lv:
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification. IEEE Trans. Cybern. 50(9): 3840-3854 (2020)
[j41]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang:
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Trans. Evol. Comput. 24(1): 170-184 (2020)
[j40]
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Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang:
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Trans. Evol. Comput. 24(2): 350-364 (2020)
[j39]
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Evolving Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 24(2): 394-407 (2020)
[j38]
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Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu:
Multiobjective Multitasking Optimization Based on Incremental Learning. IEEE Trans. Evol. Comput. 24(5): 824-838 (2020)
[j37]
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Completely Automated CNN Architecture Design Based on Blocks. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1242-1254 (2020)
[c192]
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Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets. WOAH 2020: 150-161
[c191]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2020: 163-175
[c190]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. CEC 2020: 1-8
[c189]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. CEC 2020: 1-8
[c188]
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Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Feature Learning for Facial Expression Classification. CEC 2020: 1-8
[c187]
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Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. CEC 2020: 1-8
[c186]
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Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. CEC 2020: 1-8
[c185]
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Benjamin P. Evans, Bing Xue, Mengjie Zhang:
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. CEC 2020: 1-8
[c184]
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Qinglan Fan, Bing Xue, Mengjie Zhang:
A Region Adaptive Image Classification Approach Using Genetic Programming. CEC 2020: 1-8
[c183]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. CEC 2020: 1-8
[c182]
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Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. CEC 2020: 1-8
[c181]
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Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. CEC 2020: 1-8
[c180]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. EuroGP 2020: 1-17
[c179]
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Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang:
Evolving network structures for text classification using genetic algorithms. GECCO Companion 2020: 109-110
[c178]
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Ying Bi, Bing Xue, Mengjie Zhang:
Automatically extracting features for face classification using multi-objective genetic programming. GECCO Companion 2020: 117-118
[c177]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. GECCO Companion 2020: 149-150
[c176]
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  - conf/gecco/Evans0Z20
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Benjamin P. Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. GECCO 2020: 324-332
[c175]
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Yi Liu, Will N. Browne, Bing Xue:
Absumption and subsumption based learning classifier systems. GECCO 2020: 368-376
[c174]
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Damien O'Neill, Bing Xue, Mengjie Zhang:
Neural architecture search for sparse DenseNets with dynamic compression. GECCO 2020: 386-394
[c173]
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  - conf/gecco/Xu0Z20
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Hang Xu, Bing Xue, Mengjie Zhang:
Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection. GECCO 2020: 444-452
[c172]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. GECCO 2020: 913-921
[c171]
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Qi Chen, Bing Xue, Mengjie Zhang:
Improving symbolic regression based on correlation between residuals and variables. GECCO 2020: 922-930
[c170]
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  - conf/gecco/Raymond00Z20
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Adaptive weighted splines: a new representation to genetic programming for symbolic regression. GECCO 2020: 1003-1011
[c169]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A genetic programming approach to feature construction for ensemble learning in skin cancer detection. GECCO 2020: 1186-1194
[c168]
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Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2020: 1283-1312
[c167]
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  - conf/ijcnn/0002S0Z20
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Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. IJCNN 2020: 1-8
[c166]
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Gonglin Yuan, Bing Xue, Mengjie Zhang:
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. IVCNZ 2020: 1-6
[c165]
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Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. PPSN (1) 2020: 3-18
[c164]
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  - conf/ssci/AlbuquerqueNXZ20
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Inti Mateus Resende Albuquerque, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. SSCI 2020: 616-623
[c163]
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  - conf/ssci/ZhaoSX20
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Wenxin Zhao, Yanan Sun, Bing Xue:
Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection. SSCI 2020: 897-904
[c162]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. SSCI 2020: 905-912
[c161]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. SSCI 2020: 2093-2100
[c160]
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  - conf/ssci/McGhieXZ20
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Abigail McGhie, Bing Xue, Mengjie Zhang:
GPCNN: Evolving Convolutional Neural Networks using Genetic Programming. SSCI 2020: 2684-2691
[c159]
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  - conf/ssci/ViswambaranCXN20
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Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. SSCI 2020: 2692-2698
[c158]
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  - conf/ssci/MadukweGX20
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Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection. SSCI 2020: 2821-2828
[c157]
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  - conf/webi/MadukweG020
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Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
Dependency-Based Embedding for Distinguishing Between Hate Speech and Offensive Language. WI/IAT 2020: 860-868
[p1]
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Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches. Deep Neural Evolution 2020: 155-184
[i24]
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  - journals/corr/abs-2001-01331
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Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. CoRR abs/2001.01331 (2020)
[i23]
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  - journals/corr/abs-2001-08842
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Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. CoRR abs/2001.08842 (2020)
[i22]
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  - journals/corr/abs-2001-09578
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. CoRR abs/2001.09578 (2020)
[i21]
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  - journals/corr/abs-2001-10178
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Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. CoRR abs/2001.10178 (2020)
[i20]
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  - journals/corr/abs-2007-01556
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Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification. CoRR abs/2007.01556 (2020)
[i19]
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  - journals/corr/abs-2008-06634
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Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. CoRR abs/2008.06634 (2020)
[i18]
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  - journals/corr/abs-2008-10937
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Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A Survey on Evolutionary Neural Architecture Search. CoRR abs/2008.10937 (2020)
[i17]
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  - journals/corr/abs-2012-02223
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Trevor Londt, Xiaoying Gao, Bing Xue, Peter Andreae:
Evolving Character-level Convolutional Neural Networks for Text Classification. CoRR abs/2012.02223 (2020)
[i16]
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  - journals/corr/abs-2012-09444
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Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. CoRR abs/2012.09444 (2020)

2010 – 2019

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2019
[j36]
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Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang:
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evol. Comput. 27(3): 467-496 (2019)
[j35]
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Binh Tran, Bing Xue, Mengjie Zhang:
Genetic programming for multiple-feature construction on high-dimensional classification. Pattern Recognit. 93: 404-417 (2019)
[j34]
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Muhammad Iqbal, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic programming with transfer learning for texture image classification. Soft Comput. 23(23): 12859-12871 (2019)
[j33]
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Binh Tran, Bing Xue, Mengjie Zhang:
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification. IEEE Trans. Evol. Comput. 23(3): 473-487 (2019)
[j32]
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Qi Chen, Bing Xue, Mengjie Zhang:
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. IEEE Trans. Evol. Comput. 23(3): 488-502 (2019)
[j31]
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Qi Chen, Mengjie Zhang, Bing Xue:
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. IEEE Trans. Evol. Comput. 23(4): 703-717 (2019)
[j30]
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(5): 748-761 (2019)
[j29]
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Yu Xue, Bing Xue, Mengjie Zhang:
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification. ACM Trans. Knowl. Discov. Data 13(5): 50:1-50:27 (2019)
[j28]
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2295-2309 (2019)
[c156]
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Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry. ACPR (2) 2019: 449-463
[c155]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. ACPR (2) 2019: 566-579
[c154]
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Juhini Desai, Bach Hoai Nguyen, Bing Xue:
Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms. Australasian Conference on Artificial Intelligence 2019: 510-522
[c153]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. Australasian Conference on Artificial Intelligence 2019: 523-535
[c152]
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William Irwin-Harris, Yanan Sun, Bing Xue, Mengjie Zhang:
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. CEC 2019: 546-553
[c151]
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  - conf/cec/ViswambaranCXN19
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Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. CEC 2019: 554-561
[c150]
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Thomas Watts, Bing Xue, Mengjie Zhang:
Blocky Net: A New NeuroEvolution Method. CEC 2019: 586-593
[c149]
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Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. CEC 2019: 880-887
[c148]
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Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. CEC 2019: 2260-2267
[c147]
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  - conf/cec/PearsonTZ019
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Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue:
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. CEC 2019: 2544-2551
[c146]
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  - conf/cec/Raymond00Z19
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Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Rademacher Complexity for Symbolic Regression. CEC 2019: 2657-2664
[c145]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. CEC 2019: 2779-2786
[c144]
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Qi Chen, Bing Xue, Mengjie Zhang:
Instance based Transfer Learning for Genetic Programming for Symbolic Regression. CEC 2019: 3006-3013
[c143]
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Ying Bi, Bing Xue, Mengjie Zhang:
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. CEC 2019: 3197-3204
[c142]
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Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. CEC 2019: 3244-3251
[c141]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? EuroGP 2019: 114-130
[c140]
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  - conf/evoW/AzariXZP19
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Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm. EvoApplications 2019: 72-89
[c139]
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Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection. EvoApplications 2019: 308-324
[c138]
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Qi Chen, Bing Xue, Mengjie Zhang:
Differential evolution for instance based transfer learning in genetic programming for symbolic regression. GECCO (Companion) 2019: 161-162
[c137]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. GECCO (Companion) 2019: 187-188
[c136]
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  - conf/gecco/MullerA0Z19
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Brandon Muller, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression. GECCO (Companion) 2019: 350-351
[c135]
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Ying Bi, Bing Xue, Mengjie Zhang:
An automated ensemble learning framework using genetic programming for image classification. GECCO 2019: 365-373
[c134]
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  - conf/gecco/LiuB019
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Yi Liu, Will N. Browne, Bing Xue:
Absumption to complement subsumption in learning classifier systems. GECCO 2019: 410-418
[c133]
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  - conf/gecco/Nguyen0ZA19
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Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Peter Andreae:
Population-based ensemble classifier induction for domain adaptation. GECCO 2019: 437-445
[c132]
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  - conf/gecco/Tran0Z19
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Binh Tran, Bing Xue, Mengjie Zhang:
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification. GECCO 2019: 481-489
[c131]
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  - conf/gecco/WangS0Z19
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving deep neural networks by multi-objective particle swarm optimization for image classification. GECCO 2019: 490-498
[c130]
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  - conf/gecco/Evans0Z19
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Benjamin P. Evans, Bing Xue, Mengjie Zhang:
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models. GECCO 2019: 1012-1020
[c129]
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  - conf/ivcnz/Ain0AZ19
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Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. IVCNZ 2019: 1-6
[c128]
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Damien O'Neill, Bing Xue, Mengjie Zhang:
The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets. IVCNZ 2019: 1-6
[c127]
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  - conf/pricai/Azari0ZP19
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Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches. PRICAI (3) 2019: 474-487
[c126]
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. PRICAI (3) 2019: 650-663
[c125]
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Juhini Desai, Bach Hoai Nguyen, Bing Xue:
Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms. SSCI 2019: 1762-1769
[c124]
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Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang:
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. SSCI 2019: 1770-1777
[c123]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. SSCI 2019: 2395-2402
[i15]
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Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm. CoRR abs/1902.00845 (2019)
[i14]
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  - journals/corr/abs-1902-02949
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? CoRR abs/1902.02949 (2019)
[i13]
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  - journals/corr/abs-1903-03893
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. CoRR abs/1903.03893 (2019)
[i12]
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  - journals/corr/abs-1904-09035
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification. CoRR abs/1904.09035 (2019)
[i11]
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  - journals/corr/abs-1907-12659
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Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. CoRR abs/1907.12659 (2019)
[i10]
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Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches. CoRR abs/1908.08010 (2019)
[i9]
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  - journals/corr/abs-1909-13030
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Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification. CoRR abs/1909.13030 (2019)
[i8]
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  - journals/corr/abs-1910-10264
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. CoRR abs/1910.10264 (2019)
2018
[j27]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
Improving performance of classification on incomplete data using feature selection and clustering. Appl. Soft Comput. 73: 848-861 (2018)
[j26]
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Wenlong Fu, Bing Xue, Mengjie Zhang, Mark Johnston:
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. IEEE Comput. Intell. Mag. 13(4): 46-58 (2018)
[j25]
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  - journals/isci/HancerXZKA18
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Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay:
Pareto front feature selection based on artificial bee colony optimization. Inf. Sci. 422: 462-479 (2018)
[j24]
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Emrah Hancer, Bing Xue, Mengjie Zhang:
Differential evolution for filter feature selection based on information theory and feature ranking. Knowl. Based Syst. 140: 103-119 (2018)
[j23]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
An effective and efficient approach to classification with incomplete data. Knowl. Based Syst. 154: 1-16 (2018)
[j22]
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  - journals/memetic/NguyenXA18
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Bach Hoai Nguyen, Bing Xue, Peter Andreae:
PSO with surrogate models for feature selection: static and dynamic clustering-based methods. Memetic Comput. 10(3): 291-300 (2018)
[j21]
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Binh Tran, Bing Xue, Mengjie Zhang:
A New Representation in PSO for Discretization-Based Feature Selection. IEEE Trans. Cybern. 48(6): 1733-1746 (2018)
[c122]
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Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features. Australasian Conference on Artificial Intelligence 2018: 111-123
[c121]
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  - conf/ausai/AfzaliAXHZ18
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Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection. Australasian Conference on Artificial Intelligence 2018: 209-215
[c120]
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  - conf/ausai/WangSXZ18
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. Australasian Conference on Artificial Intelligence 2018: 237-250
[c119]
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Ying Bi, Bing Xue, Mengjie Zhang:
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. Australasian Conference on Artificial Intelligence 2018: 251-257
[c118]
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Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2018: 345-357
[c117]
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Yi Liu, Will N. Browne, Bing Xue:
Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches. Australasian Conference on Artificial Intelligence 2018: 397-409
[c116]
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Ke Chen, Fengyu Zhou, Bing Xue:
Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy. Australasian Conference on Artificial Intelligence 2018: 419-431
[c115]
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Cao Truong Tran, Mengjie Zhang, Bing Xue, Peter Andreae:
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. Australasian Conference on Artificial Intelligence 2018: 577-589
[c114]
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Damien O'Neill, Bing Xue, Mengjie Zhang:
Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study. Australasian Conference on Artificial Intelligence 2018: 616-629
[c113]
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Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. Australasian Conference on Artificial Intelligence 2018: 643-655
[c112]
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Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification. CEC 2018: 1-8
[c111]
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Xiaohan Bai, Xiaoying Gao, Bing Xue:
Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining. CEC 2018: 1-8
[c110]
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Ying Bi, Mengjie Zhang, Bing Xue:
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. CEC 2018: 1-8
[c109]
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Benjamin P. Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification. CEC 2018: 1-6
[c108]
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Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. CEC 2018: 1-8
[c107]
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders. CEC 2018: 1-8
[c106]
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification. CEC 2018: 1-8
[c105]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. EuroGP 2018: 84-100
[c104]
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Yi Liu, Will N. Browne, Bing Xue:
Adapting Bagging and Boosting to Learning Classifier Systems. EvoApplications 2018: 405-420
[c103]
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Ying Bi, Bing Xue, Mengjie Zhang:
An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. EvoApplications 2018: 421-438
[c102]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae:
A particle swarm optimization based feature selection approach to transfer learning in classification. GECCO 2018: 37-44
[c101]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Automatically evolving difficult benchmark feature selection datasets with genetic programming. GECCO 2018: 458-465
[c100]
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Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO (Companion) 2018: 1198-1220
[c99]
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  - conf/hais/Tallon-Ballesteros18
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Antonio J. Tallón-Ballesteros, Luís Correia, Bing Xue:
Featuring the Attributes in Supervised Machine Learning. HAIS 2018: 350-362
[c98]
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  - conf/iconip/MiSX18
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Zeyu Mi, Lin Shang, Bing Xue:
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. ICONIP (2) 2018: 486-497
[c97]
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Antonio J. Tallón-Ballesteros, Milan Tuba, Bing Xue, Takako Hashimoto:
Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. IDEAL (2) 2018: 280-287
[c96]
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Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection. IVCNZ 2018: 1-9
[c95]
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Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. PRICAI (1) 2018: 732-745
[e2]
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Tanja Mitrovic, Bing Xue, Xiaodong Li:
AI 2018: Advances in Artificial Intelligence - 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings. Lecture Notes in Computer Science 11320, Springer 2018, ISBN 978-3-030-03990-5 [contents]
[i7]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. CoRR abs/1802.00554 (2018)
[i6]
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification. CoRR abs/1803.06492 (2018)
[i5]
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Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification. CoRR abs/1808.03818 (2018)
[i4]
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Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. CoRR abs/1808.06661 (2018)
[i3]
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Yanan Sun, Bing Xue, Mengjie Zhang:
Automatically Evolving CNN Architectures Based on Blocks. CoRR abs/1810.11875 (2018)
2017
[j20]
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Bing Xue:
Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms - Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3. Genet. Program. Evolvable Mach. 18(3): 407-409 (2017)
[j19]
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Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, Mengjie Zhang:
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. IEEE Trans. Evol. Comput. 21(1): 83-101 (2017)
[j18]
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Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification. IEEE Trans. Evol. Comput. 21(4): 569-587 (2017)
[j17]
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Qi Chen, Mengjie Zhang, Bing Xue:
Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Trans. Evol. Comput. 21(5): 792-806 (2017)
[j16]
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  - journals/tetci/MeiNXZ17
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Yi Mei, Su Nguyen, Bing Xue, Mengjie Zhang:
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. IEEE Trans. Emerg. Top. Comput. Intell. 1(5): 339-353 (2017)
[c94]
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  - conf/ausai/HuoXSZ17
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Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing. Australasian Conference on Artificial Intelligence 2017: 169-181
[c93]
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Binh Tran, Bing Xue, Mengjie Zhang:
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data. Australasian Conference on Artificial Intelligence 2017: 182-194
[c92]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
Particle Swarm Optimisation with genetic operators for feature selection. CEC 2017: 286-293
[c91]
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  - conf/cec/PhillipsZX17
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Tessa Phillips, Mengjie Zhang, Bing Xue:
Genetic programming for solving common and domain-independent generic recursive problems. CEC 2017: 1279-1286
[c90]
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Damien O'Neill, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Common subtrees in related problems: A novel transfer learning approach for genetic programming. CEC 2017: 1287-1294
[c89]
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Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Genetic programming for skin cancer detection in dermoscopic images. CEC 2017: 2420-2427
[c88]
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Binh Tran, Bing Xue, Mengjie Zhang:
Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data. EuroGP 2017: 210-226
[c87]
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Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang:
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. EuroGP 2017: 229-245
[c86]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Bagging and Feature Selection for Classification with Incomplete Data. EvoApplications (1) 2017: 471-486
[c85]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification. EvoApplications (1) 2017: 487-505
[c84]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering. EvoApplications (1) 2017: 538-554
[c83]
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Chengyan Wang, Bing Xue, Lin Shang:
PSO-based parameters selection for the bilateral filter in image denoising. GECCO 2017: 51-58
[c82]
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Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang:
Multiple reference points MOEA/D for feature selection. GECCO (Companion) 2017: 157-158
[c81]
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Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Evolving texture image descriptors using a multitree genetic programming representation. GECCO (Companion) 2017: 219-220
[c80]
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Qi Chen, Mengjie Zhang, Bing Xue:
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. GECCO (Companion) 2017: 223-224
[c79]
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  - conf/gecco/LensenXZ17a
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Improving k-means clustering with genetic programming for feature construction. GECCO (Companion) 2017: 237-238
[c78]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. GECCO 2017: 449-456
[c77]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Multiple imputation and genetic programming for classification with incomplete data. GECCO 2017: 521-528
[c76]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Genetic programming based feature construction for classification with incomplete data. GECCO 2017: 1033-1040
[c75]
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Ying Bi, Mengjie Zhang, Bing Xue:
An automatic region detection and processing approach in genetic programming for binary image classification. IVCNZ 2017: 1-6
[c74]
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  - conf/seal/0002ZX17
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Qi Chen, Mengjie Zhang, Bing Xue:
Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression. SEAL 2017: 422-434
[c73]
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Yi Liu, Bing Xue, Will N. Browne:
Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning. SEAL 2017: 448-461
[c72]
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Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors. SEAL 2017: 499-511
[c71]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
New Representations in Genetic Programming for Feature Construction in k-Means Clustering. SEAL 2017: 543-555
[c70]
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Wenlong Fu, Bing Xue, Mengjie Zhang, Xiaoying Gao:
Transductive Transfer Learning in Genetic Programming for Document Classification. SEAL 2017: 556-568
[c69]
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Binh Tran, Stjepan Picek, Bing Xue:
Automatic Feature Construction for Network Intrusion Detection. SEAL 2017: 569-580
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Bach Hoai Nguyen, Bing Xue, Peter Andreae:
A Hybrid GA-GP Method for Feature Reduction in Classification. SEAL 2017: 591-604
[c67]
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Shima Afzali, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
A supervised feature weighting method for salient object detection using particle swarm optimization. SSCI 2017: 1-8
[c66]
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Emrah Hancer, Bing Xue, Mengjie Zhang:
A differential evolution based feature selection approach using an improved filter criterion. SSCI 2017: 1-8
[c65]
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Yu Xue, Jiongming Jiang, Bing Xue, Mengjie Zhang:
A classification method based on self-adaptive artificial bee colony. SSCI 2017: 1-8
[i2]
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Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Image Classification. CoRR abs/1710.10741 (2017)
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Yanan Sun, Bing Xue, Mengjie Zhang:
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification. CoRR abs/1712.05042 (2017)
2016
[j15]
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Binh Tran, Bing Xue, Mengjie Zhang, Su Nguyen:
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias. Connect. Sci. 28(3): 270-294 (2016)
[j14]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Improving performance for classification with incomplete data using wrapper-based feature selection. Evol. Intell. 9(3): 81-94 (2016)
[j13]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Mutual information for feature selection: estimation or counting? Evol. Intell. 9(3): 95-110 (2016)
[j12]
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Binh Tran, Bing Xue, Mengjie Zhang:
Genetic programming for feature construction and selection in classification on high-dimensional data. Memetic Comput. 8(1): 3-15 (2016)
[j11]
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Bing Xue, Gang Chen:
Guest editorial: special issue on evolutionary optimization, feature reduction and learning. Soft Comput. 20(10): 3771-3773 (2016)
[j10]
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Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang:
New mechanism for archive maintenance in PSO-based multi-objective feature selection. Soft Comput. 20(10): 3927-3946 (2016)
[j9]
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Bing Xue, Mengjie Zhang, Will N. Browne, Xin Yao:
A Survey on Evolutionary Computation Approaches to Feature Selection. IEEE Trans. Evol. Comput. 20(4): 606-626 (2016)
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Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Subset Similarity Guided Method for Multi-objective Feature Selection. ACALCI 2016: 298-310
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Bing Xue, Mengjie Zhang:
Evolutionary computation for feature manipulation: Key challenges and future directions. CEC 2016: 3061-3067
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Muhammad Iqbal, Mengjie Zhang, Bing Xue:
Improving classification on images by extracting and transferring knowledge in genetic programming. CEC 2016: 3582-3589
[c61]
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Edward Haslam, Bing Xue, Mengjie Zhang:
Further investigation on genetic programming with transfer learning for symbolic regression. CEC 2016: 3598-3605
[c60]
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Qi Chen, Bing Xue, Ben Niu, Mengjie Zhang:
Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. CEC 2016: 3793-3800
[c59]
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Binh Tran, Mengjie Zhang, Bing Xue:
A PSO based hybrid feature selection algorithm for high-dimensional classification. CEC 2016: 3801-3808
[c58]
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Tessa Phillips, Mengjie Zhang, Bing Xue:
Genetic programming for evolving programs with recursive structures. CEC 2016: 5044-5051
[c57]
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Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue:
Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. EuroGP 2016: 51-67
[c56]
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Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue:
A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data. EvoApplications (1) 2016: 106-122
[c55]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
A Wrapper Feature Selection Approach to Classification with Missing Data. EvoApplications (1) 2016: 685-700
[c54]
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Binh Tran, Bing Xue, Mengjie Zhang:
Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification. EvoApplications (1) 2016: 701-718
[c53]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization. EvoApplications (1) 2016: 719-736
[c52]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. GECCO (Companion) 2016: 69-70
[c51]
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Yi Mei, Bing Xue, Mengjie Zhang:
Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference. GECCO 2016: 469-476
[c50]
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Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang:
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. GECCO 2016: 709-716
[c49]
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Mengjie Zhang, Bing Xue:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO (Companion) 2016: 861-881
[c48]
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  - conf/ies2/0002Z016
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Qi Chen, Mengjie Zhang, Bing Xue:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 87-102
[c47]
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Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 319-332
[c46]
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Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 401-415
[c45]
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  - conf/paisi/MaXZ16
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Jianbin Ma, Bing Xue, Mengjie Zhang:
A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages. PAISI 2016: 33-52
[c44]
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Muhammad Iqbal, Bing Xue, Mengjie Zhang:
Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. PAKDD (2) 2016: 117-129
[c43]
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  - conf/pricai/WangXGZ16
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Jiaheng Wang, Bing Xue, Xiaoying Gao, Mengjie Zhang:
A Differential Evolution Approach to Feature Selection and Instance Selection. PRICAI 2016: 588-602
[c42]
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Andrew Lensen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation representations for simultaneous clustering and feature selection. SSCI 2016: 1-8
[c41]
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Binh Tran, Mengjie Zhang, Bing Xue:
Multiple feature construction in classification on high-dimensional data using GP. SSCI 2016: 1-8
[c40]
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  - conf/ssci/XueLLZ16
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Bing Xue, Mitchell C. Lane, Ivy Liu, Mengjie Zhang:
Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information. SSCI 2016: 1-8
2015
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Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang:
A binary ABC algorithm based on advanced similarity scheme for feature selection. Appl. Soft Comput. 36: 334-348 (2015)
[j7]
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Bing Xue, Mengjie Zhang, Will N. Browne:
A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification. Int. J. Comput. Intell. Appl. 14(2): 1550008:1-1550008:23 (2015)
[c39]
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Tony Butler-Yeoman, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach. AusDM 2015: 151-159
[c38]
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Qi Chen, Bing Xue, Mengjie Zhang:
Generalisation and domain adaptation in GP with gradient descent for symbolic regression. CEC 2015: 1137-1144
[c37]
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Chahine Koleejan, Bing Xue, Mengjie Zhang:
Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation. CEC 2015: 1204-1211
[c36]
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Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay:
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. CEC 2015: 2420-2427
[c35]
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Tony Butler-Yeoman, Bing Xue, Mengjie Zhang:
Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach. CEC 2015: 2428-2435
[c34]
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Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang:
Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection. EvoApplications 2015: 541-553
[c33]
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Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue:
A hybrid Genetic Programming approach to feature detection and image classification. IVCNZ 2015: 1-6
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Mario Köppen, Bing Xue, Hideyuki Takagi, Ajith Abraham, Azah Kamilah Muda, Kun Ma:
7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, November 13-15, 2015. IEEE 2015, ISBN 978-1-4673-9360-7 [contents]
2014
[b1]
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Bing Xue:
Particle Swarm Optimisation for Feature Selection in Classification. Victoria University of Wellington, New Zealand, 2014
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Bing Xue, Mengjie Zhang, Will N. Browne:
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms. Appl. Soft Comput. 18: 261-276 (2014)
[j5]
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Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang:
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach. Int. J. Comput. Intell. Appl. 13(2) (2014)
[c32]
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Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang:
Filter based backward elimination in wrapper based PSO for feature selection in classification. IEEE Congress on Evolutionary Computation 2014: 3111-3118
[c31]
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Bing Xue, A. Kai Qin, Mengjie Zhang:
An archive based particle swarm optimisation for feature selection in classification. IEEE Congress on Evolutionary Computation 2014: 3119-3126
[c30]
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Mitchell C. Lane, Bing Xue, Ivy Liu, Mengjie Zhang:
Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection. EvoCOP 2014: 133-144
[c29]
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Yan Dai, Bing Xue, Mengjie Zhang:
New Representations in PSO for Feature Construction in Classification. EvoApplications 2014: 476-488
[c28]
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Bing Xue, Su Nguyen, Mengjie Zhang:
A New Binary Particle Swarm Optimisation Algorithm for Feature Selection. EvoApplications 2014: 501-513
[c27]
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Bing Xue, Wenlong Fu, Mengjie Zhang:
Differential evolution (DE) for multi-objective feature selection in classification. GECCO (Companion) 2014: 83-84
[c26]
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Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue:
Multiple feature construction for effective biomarker identification and classification using genetic programming. GECCO 2014: 249-256
[c25]
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Binh Tran, Bing Xue, Mengjie Zhang:
Improved PSO for Feature Selection on High-Dimensional Datasets. SEAL 2014: 503-515
[c24]
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Bing Xue, Wenlong Fu, Mengjie Zhang:
Multi-objective Feature Selection in Classification: A Differential Evolution Approach. SEAL 2014: 516-528
[c23]
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Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang:
PSO and Statistical Clustering for Feature Selection: A New Representation. SEAL 2014: 569-581
[c22]
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Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue:
Genetic Programming for Measuring Peptide Detectability. SEAL 2014: 593-604
[c21]
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Binh Tran, Bing Xue, Mengjie Zhang:
Overview of Particle Swarm Optimisation for Feature Selection in Classification. SEAL 2014: 605-617
2013
[j4]
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Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang:
Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification. Int. J. Artif. Intell. Tools 22(4) (2013)
[j3]
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Bing Xue, Mengjie Zhang, Will N. Browne:
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach. IEEE Trans. Cybern. 43(6): 1656-1671 (2013)
[c20]
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Mitchell C. Lane, Bing Xue, Ivy Liu, Mengjie Zhang:
Particle Swarm Optimisation and Statistical Clustering for Feature Selection. Australasian Conference on Artificial Intelligence 2013: 214-220
[c19]
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Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
Binary particle swarm optimisation and rough set theory for dimension reduction in classification. IEEE Congress on Evolutionary Computation 2013: 2428-2435
[c18]
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Aneta Stevanovic, Bing Xue, Mengjie Zhang:
Feature selection based on PSO and decision-theoretic rough set model. IEEE Congress on Evolutionary Computation 2013: 2840-2847
[c17]
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Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory. EvoCOP 2013: 25-36
[c16]
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Bing Xue, Mengjie Zhang, Will N. Browne:
Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification. EvoApplications 2013: 428-438
[c15]
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Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne:
PSO for feature construction and binary classification. GECCO 2013: 137-144
2012
[j2]
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Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang:
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems. Connect. Sci. 24(2-3): 91-116 (2012)
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Ben Niu, Yan Fan, Han Xiao, Bing Xue:
Bacterial foraging based approaches to portfolio optimization with liquidity risk. Neurocomputing 98: 90-100 (2012)
[c14]
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Bing Xue, Mengjie Zhang, Will N. Browne:
Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection. ACSC 2012: 27-36
[c13]
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Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory. Australasian Conference on Artificial Intelligence 2012: 313-325
[c12]
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Liam Cervante, Bing Xue, Mengjie Zhang, Lin Shang:
Binary particle swarm optimisation for feature selection: A filter based approach. IEEE Congress on Evolutionary Computation 2012: 1-8
[c11]
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Bing Xue, Mengjie Zhang, Will N. Browne:
New fitness functions in binary particle swarm optimisation for feature selection. IEEE Congress on Evolutionary Computation 2012: 1-8
[c10]
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Bing Xue, Mengjie Zhang, Will N. Browne:
Multi-objective particle swarm optimisation (PSO) for feature selection. GECCO 2012: 81-88
[c9]
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Bing Xue, Liam Cervante, Lin Shang, Mengjie Zhang:
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification. PRICAI 2012: 673-685
2010
[c8]
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Ben Niu, Lijing Tan, Bing Xue, Li Li, Yujuan Chai:
Constrained portfolio selection using multiple swarms. IEEE Congress on Evolutionary Computation 2010: 1-7
[c7]
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Li Li, Bing Xue, Lijing Tan, Ben Niu:
Improved Particle Swarm Optimizers with Application on Constrained Portfolio Selection. ICIC (1) 2010: 579-586

2000 – 2009

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2009
[c6]
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Ben Niu, Bing Xue, Li Li, Yujuan Chai:
Symbiotic Multi-swarm PSO for Portfolio Optimization. ICIC (2) 2009: 776-784
[c5]
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Li Li, Bing Xue, Ben Niu, Lijing Tan, Jixian Wang:
A Novel Particle Swarm Optimization with Non-linear Inertia Weight Based on Tangent Function. ICIC (2) 2009: 785-793
2005
[c4]
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Bing Xue, Xing-peng Chen, Xing-li Yu, Hong Miao, Xue-sen Tuo:
A research on the evolution of ecological environment and resources exploitation in Xinjiang. IGARSS 2005: 4
[c3]
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Bing Xue, Xing-peng Chen, Yan Huang, Yong-jin Li, Yong Liu:
A study on the landscape structure and change of the valley-city: case of Lanzhou. IGARSS 2005: 1526-1529
[c2]
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Qing-guang Liu, Xing-peng Chen, Hong Miao, Li-min Gao, Bing Xue:
Land cover changes and some proposals for promoting sustainable development in the source regions of the Yellow River, China. IGARSS 2005: 2394-2397
[c1]
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  - conf/igarss/YuCX05
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Xing-li Yu, Xing-peng Chen, Bing Xue:
Application and discussion in small scale of china in research of ecological footprint - take the EF of Lanzhou university(graduate school) in 2003 as an example. IGARSS 2005: 5336-5339

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