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2020 – today
- 2024
[j102]Shicong Liu
, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang, Wing W. Y. Ng:
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis. Expert Syst. Appl. 255: 124616 (2024)- [j101]Guanfeng Wu, Abbas Haider, Xing Tian, Erfan Loweimi, Chi-Ho Chan, Mengjie Qian, Muhammad Junaid Awan, Ivor T. A. Spence, Rob Cooper, Wing W. Y. Ng, Josef Kittler, Mark J. F. Gales, Hui Wang:
Multi-modal video search by examples - A video quality impact analysis. IET Comput. Vis. 18(7): 1017-1033 (2024) - [j100]Chaojie Wu, Mingyang Li, Ying Gao, Xinyan Xie, Wing W. Y. Ng, Ahmad Musyafa:
Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection. Mach. Intell. Res. 21(1): 89-103 (2024) - [j99]Chenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen, Xiping Hu:
Semantic dependency and local convolution for enhancing naturalness and tone in text-to-speech synthesis. Neurocomputing 608: 128430 (2024) - [j98]Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng:
Low-rank matrix recovery with total generalized variation for defending adversarial examples. Frontiers Inf. Technol. Electron. Eng. 25(3): 432-445 (2024) - [j97]Wing W. Y. Ng, Yongzhi Xu, Xing Tian, Hui Wang:
Deep supervised fused similarity hashing for cross-modal retrieval. Multim. Tools Appl. 83(39): 86537-86555 (2024) - [j96]Wing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang:
Improving domain generalization by hybrid domain attention and localized maximum sensitivity. Neural Networks 171: 320-331 (2024) - [j95]Ting Wang, Su Lu, Jianjun Zhang, Xuyu Liu, Xing Tian, Wing W. Y. Ng, Wei-neng Chen:
SBHA: Sensitive Binary Hashing Autoencoder for Image Retrieval. IEEE Trans. Cybern. 54(7): 3954-3967 (2024) - [j94]Xingfu Yan, Wing W. Y. Ng, Bowen Zhao, Yuxian Liu, Ying Gao, Xiumin Wang:
Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile Crowdsensing. IEEE Trans. Dependable Secur. Comput. 21(3): 1301-1316 (2024) - [j93]Yinhao Liang, Wenjie Tang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo:
HRadNet: A Hierarchical Radiomics-Based Network for Multicenter Breast Cancer Molecular Subtypes Prediction. IEEE Trans. Medical Imaging 43(3): 1225-1236 (2024) - [j92]Qihua Li, Xing Tian, Wing W. Y. Ng:
Self-Supervised Temporal Sensitive Hashing for Video Retrieval. IEEE Trans. Multim. 26: 9021-9035 (2024) - [j91]Ting Wang, Mingyang Zhang, Jianjun Zhang, Wing W. Y. Ng, C. L. Philip Chen:
BASS: Broad Network Based on Localized Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1681-1695 (2024) - [c93]Chenglong Jiang, Ying Gao, Hao Jin, Linrong Pan, Wing W. Y. Ng:
Fastmandarin: Efficient Local Modeling for Natural Mandarin Speech Synthesis. ICASSP 2024: 461-465 - [c92]Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper, Maurice D. Mulvenna, Wing W. Y. Ng, Yang Hua, Richard Gault, Abbas Haider, Guanfeng Wu:
MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling. ICMR 2024: 1345-1346 - [c91]Xing Tian, Dezhong Zhu, Qihua Li, Wing W. Y. Ng, Chunlin Xu:
Semi-supervised Concept Preserving Hashing for Image Retrieval in Non-stationary Data Environment. MVRMLM@ICMR 2024: 14-19 - [c90]Xiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang:
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization. ECML/PKDD (1) 2024: 73-88 - 2023
- [j90]Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Guoxiang Zhong, Xuhao Tang, Bin Wang:
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing. Comput. Commun. 200: 86-94 (2023) - [j89]Huizi Lyu, Desen Huang, Sen Li, Wing W. Y. Ng, Qianli Ma:
Multiscale echo self-attention memory network for multivariate time series classification. Neurocomputing 520: 60-72 (2023) - [j88]Xueli Zhang, Cankun Zhong, Jianjun Zhang, Ting Wang, Wing W. Y. Ng:
Robust recurrent neural networks for time series forecasting. Neurocomputing 526: 143-157 (2023) - [j87]Wing W. Y. Ng, Xuyu Liu, Xuli Yan, Xing Tian, Cankun Zhong, Sam Kwong:
Multi-object tracking for horse racing. Inf. Sci. 638: 118967 (2023) - [j86]Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent, Naomi Irvine, Ting Wang:
Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition. J. Ambient Intell. Humaniz. Comput. 14(1): 53-63 (2023) - [j85]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz:
Perturbation-based oversampling technique for imbalanced classification problems. Int. J. Mach. Learn. Cybern. 14(3): 773-787 (2023) - [j84]Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ran Wang, Ying Gao, Sam Kwong:
Generative face inpainting hashing for occluded face retrieval. Int. J. Mach. Learn. Cybern. 14(5): 1725-1738 (2023) - [j83]Si-chao Lei, Xing Tian, Wing W. Y. Ng, Yue-Jiao Gong:
Length adaptive hashing for semi-supervised semantic image retrieval. Multim. Tools Appl. 82(24): 38165-38187 (2023) - [j82]Xing Tian, Wing W. Y. Ng, Huihui Xu:
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift. IEEE Trans. Big Data 9(4): 1102-1115 (2023) - [j81]Cankun Zhong, Wing W. Y. Ng:
A Robust Frequency-Domain-Based Graph Adaptive Network for Parkinson's Disease Detection From Gait Data. IEEE Trans. Multim. 25: 7076-7088 (2023) - [j80]Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ying Gao:
Knowledge Distillation Hashing for Occluded Face Retrieval. IEEE Trans. Multim. 25: 9096-9107 (2023) - [j79]Wendi Li, Ting Wang, Wing W. Y. Ng:
Population-Based Hyperparameter Tuning With Multitask Collaboration. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5719-5731 (2023) - [j78]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz:
KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9520-9527 (2023) - [c89]Chenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen:
SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis. AAAI 2023: 12959-12967 - [c88]Yi Yang, Qihua Li, Xing Tian, Wing W. Y. Ng, Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper:
Unsupervised Multi-Hashing for Image Retrieval in Non-stationary Environments. ICACI 2023: 1-6 - [c87]Wing W. Y. Ng, Peixin Zheng, Ting Wang, Jianjun Zhang, Yinhao Liang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei:
LSSED: A Robust Segmentation Network for Inflamed Appendix from CT Images. ICASSP 2023: 1-5 - [c86]Qiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng:
A Lightweight and Efficient Model for Audio Anti-Spoofing. MMAsia 2023: 31:1-31:7 - [c85]Ting Wang, Wing W. Y. Ng, Mingyang Zhang, Xueli Zhang, Jianjun Zhang, Mingcong Deng:
Moisture Content Prediction of Sugi Wood Drying Using Deep LSTM AE Minimizing Perturbed Error. SMC 2023: 3756-3762 - 2022
- [j77]Ruibin Gu, Qiuxia Wu, Yuqiong Li, Wenxiong Kang, Wing W. Y. Ng, Zhiyong Wang:
Enhanced Local and Global Learning for Rotation-Invariant Point Cloud Representation. IEEE Multim. 29(4): 24-37 (2022) - [j76]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz:
Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing 479: 1-11 (2022) - [j75]Qihua Li, Xing Tian, Wing W. Y. Ng, Marcello Pelillo:
Hashing-based affinity matrix for dominant set clustering. Neurocomputing 501: 544-554 (2022) - [j74]Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Bowen Zhao, Fucai Luo, Ying Gao:
P2SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing. IEEE Internet Things J. 9(24): 25424-25437 (2022) - [j73]Wing W. Y. Ng, Haicong Liang, Qingsheng Peng, Cankun Zhong, Xinran Dong, Zhongning Huang, Pingting Zhong, Cong Li, Minghui Xu, Yunxia Sun, Honghua Yu, Xiaohong Yang:
An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients. Int. J. Mach. Learn. Cybern. 13(2): 471-483 (2022) - [j72]Qihua Li, Xing Tian, Wing W. Y. Ng, Sam Kwong:
Recent development of hashing-based image retrieval in non-stationary environments. Int. J. Mach. Learn. Cybern. 13(12): 3867-3886 (2022) - [j71]Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang:
Bit-wise attention deep complementary supervised hashing for image retrieval. Multim. Tools Appl. 81(1): 927-951 (2022) - [j70]Ting Wang, Wing W. Y. Ng, Jinde Li, Qiuxia Wu, Shuai Zhang, Chris D. Nugent, Colin Shewell:
A Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(1): 210-223 (2022) - [j69]Wing W. Y. Ng, Shichao Xu, Jianjun Zhang, Xing Tian, Tongwen Rong, Sam Kwong:
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems. IEEE Trans. Cybern. 52(2): 1269-1279 (2022) - [j68]Qianli Ma, Zipeng Chen, Shuai Tian, Wing W. Y. Ng:
Difference-Guided Representation Learning Network for Multivariate Time-Series Classification. IEEE Trans. Cybern. 52(6): 4717-4727 (2022) - [j67]Jun Jiang, Fagui Liu, Wing W. Y. Ng, Quan Tang, Weizheng Wang, Quoc-Viet Pham:
Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things. IEEE Trans. Green Commun. Netw. 6(3): 1316-1329 (2022) - [j66]Guanglong Du, Yongda Deng, Wing W. Y. Ng, Di Li:
An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation. IEEE Trans. Hum. Mach. Syst. 52(5): 963-972 (2022) - [j65]Yulin Lan, Fa-Gui Liu, Zhixing Huang, Wing W. Y. Ng, Jinghui Zhong:
Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics. IEEE Trans. Intell. Transp. Syst. 23(1): 84-96 (2022) - [j64]Yulin Lan, Fagui Liu, Wing W. Y. Ng, Mengke Gui, Chengqi Lai:
Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-Shipping. IEEE Trans. Intell. Transp. Syst. 23(9): 15340-15353 (2022) - [j63]Wing W. Y. Ng, Mingyang Zhang, Ting Wang:
Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition. IEEE Trans. Multim. 24: 1678-1690 (2022) - [c84]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong:
Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. ICCI*CC 2022: 9-15 - [c83]Xing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu:
Hashing-based Undersampling for Large Scale Histopathology Image Classification. ICCI*CC 2022: 221-228 - [c82]Cankun Zhong, Yang He, Yifei An, Wing W. Y. Ng, Ting Wang:
A Sensitivity-based Pruning Method for Convolutional Neural Networks. SMC 2022: 1032-1038 - [i1]Qiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng:
ConvNext Based Neural Network for Anti-Spoofing. CoRR abs/2209.06434 (2022) - 2021
- [j62]Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz:
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. Appl. Soft Comput. 104: 107178 (2021) - [j61]Chun Sing Lai, Cankun Zhong, Keda Pan, Wing W. Y. Ng, Loi Lei Lai:
A deep learning based hybrid method for hourly solar radiation forecasting. Expert Syst. Appl. 177: 114941 (2021) - [j60]Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong:
Broad Autoencoder Features Learning for Classification Problem. Int. J. Cogn. Informatics Nat. Intell. 15(4): 1-15 (2021) - [j59]Wendi Li, Wing W. Y. Ng, Ting Wang, Marcello Pelillo, Sam Kwong:
HELP: An LSTM-based approach to hyperparameter exploration in neural network learning. Neurocomputing 442: 161-172 (2021) - [j58]Xingfu Yan, Wing W. Y. Ng, Biao Zeng, Changlu Lin, Yuxian Liu, Lu Lu, Ying Gao:
Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing. IEEE Internet Things J. 8(18): 14127-14140 (2021) - [j57]Xuemiao Xu, Jiaxing Chen, Huaidong Zhang, Wing W. Y. Ng:
D4Net: De-deformation defect detection network for non-rigid products with large patterns. Inf. Sci. 547: 763-776 (2021) - [j56]Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng:
Causative label flip attack detection with data complexity measures. Int. J. Mach. Learn. Cybern. 12(1): 103-116 (2021) - [j55]Xuanqun Chen, Chun Sing Lai, Wing W. Y. Ng, Keda Pan, Loi Lei Lai, Cankun Zhong:
A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction. Int. J. Mach. Learn. Cybern. 12(9): 2579-2590 (2021) - [j54]Ruibin Gu, Qiuxia Wu, Wing W. Y. Ng, Hongbin Xu, Zhiyong Wang:
ERINet: Enhanced rotation-invariant network for point cloud classification. Pattern Recognit. Lett. 151: 180-186 (2021) - [j53]Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng:
Convolutional Multitimescale Echo State Network. IEEE Trans. Cybern. 51(3): 1613-1625 (2021) - [j52]Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong:
LiSSA: Localized Stochastic Sensitive Autoencoders. IEEE Trans. Cybern. 51(5): 2748-2760 (2021) - [j51]Xing Tian, Wing W. Y. Ng, Hui Wang:
Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift. IEEE Trans. Cybern. 51(10): 5184-5197 (2021) - [j50]Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang, Debby Dan Wang, Fu Lee Wang:
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 373-383 (2021) - [j49]Yulin Lan, Fagui Liu, Wing W. Y. Ng, Jun Zhang, Mengke Gui:
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 826-839 (2021) - [j48]Xuemiao Xu, Tianfei Yu, Xiaowei Hu, Wing W. Y. Ng, Pheng-Ann Heng:
SALMNet: A Structure-Aware Lane Marking Detection Network. IEEE Trans. Intell. Transp. Syst. 22(8): 4986-4997 (2021) - [j47]Xing Tian, Wing W. Y. Ng, Hui Wang, Sam Kwong:
Complementary Incremental Hashing With Query-Adaptive Re-Ranking for Image Retrieval. IEEE Trans. Multim. 23: 1210-1224 (2021) - [c81]Ruibin Gu, Qiuxia Wu, Hongbin Xu, Wing W. Y. Ng, Zhiyong Wang:
Learning Efficient Rotation Representation for Point Cloud via Local-Global Aggregation. ICME 2021: 1-6 - 2020
- [j46]Wing W. Y. Ng, Weijie Zeng, Ting Wang:
Multi-Level Local Feature Coding Fusion for Music Genre Recognition. IEEE Access 8: 152713-152727 (2020) - [j45]Jincheng Li, Wing W. Y. Ng:
Robust Neural Networks Learning via a Minimization of Stochastic Output Sensitivity. IEEE Access 8: 205455-205466 (2020) - [j44]Xing Tian, Xiancheng Zhou, Wing W. Y. Ng, Jiayong Li, Hui Wang:
Bootstrap dual complementary hashing with semi-supervised re-ranking for image retrieval. Neurocomputing 379: 103-116 (2020) - [j43]Ting Huang, Dan-Ting Duan, Yue-Jiao Gong, Long Ye, Wing W. Y. Ng, Jun Zhang:
Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach. Neurocomputing 396: 24-38 (2020) - [j42]Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang, Sam Kwong, Jonathan Wallace:
Multi-level supervised hashing with deep features for efficient image retrieval. Neurocomputing 399: 171-182 (2020) - [j41]Jiayong Li, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang:
Weighted multi-deep ranking supervised hashing for efficient image retrieval. Int. J. Mach. Learn. Cybern. 11(4): 883-897 (2020) - [j40]Wing W. Y. Ng, Yuxi Tuo, Jianjun Zhang, Sam Kwong:
Training error and sensitivity-based ensemble feature selection. Int. J. Mach. Learn. Cybern. 11(10): 2313-2326 (2020) - [j39]Wing W. Y. Ng, Xiaoxia Jiang, Xing Tian, Marcello Pelillo, Hui Wang, Sam Kwong:
Incremental hashing with sample selection using dominant sets. Int. J. Mach. Learn. Cybern. 11(12): 2689-2702 (2020) - [j38]Huan Wan, Hui Wang, Bryan W. Scotney, Jun Liu, Wing W. Y. Ng:
Within-class multimodal classification. Multim. Tools Appl. 79(39-40): 29327-29352 (2020) - [j37]Naomi Irvine, Chris D. Nugent, Shuai Zhang, Hui Wang, Wing W. Y. Ng:
Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments. Sensors 20(1): 216 (2020) - [j36]Wing W. Y. Ng, Shichao Xu, Ting Wang, Shuai Zhang, Chris D. Nugent:
Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition. Sensors 20(5): 1479 (2020) - [c80]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent:
Minority Oversampling Using Sensitivity. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j35]Chun Sing Lai, Yingshan Tao, Fangyuan Xu, Wing W. Y. Ng, Youwei Jia, Haoliang Yuan, Chao Huang, Loi Lei Lai, Zhao Xu, Giorgio Locatelli:
A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty. Inf. Sci. 470: 58-77 (2019) - [j34]Qianli Ma, Shuai Tian, Jia Wei, Jiabing Wang, Wing W. Y. Ng:
Attention-based spatio-temporal dependence learning network. Inf. Sci. 503: 92-108 (2019) - [j33]Qianli Ma, Liuhong Yu, Shuai Tian, Enhuan Chen, Wing W. Y. Ng:
Global-Local Mutual Attention Model for Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2127-2139 (2019) - [j32]Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung:
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49(11): 3844-3858 (2019) - [j31]Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang:
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15(3): 1588-1597 (2019) - [j30]Jianjun Zhang, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai:
New Appliance Detection for Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 15(8): 4819-4829 (2019) - [c79]Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong, Jingde Li:
Broad Autoencoder Features Learning for Pattern Classification Problems. ICCI*CC 2019: 130-135 - [c78]Yuqing Gao, Wing W. Y. Ng, Ting Wang, Sam Kwong:
Dual Denoising Autoencoder Feature Learning for Cancer Diagnosis. ICCI*CC 2019: 366-371 - [c77]Wendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng:
Multi-Task Learning With Localized Generalization Error Model. ICMLC 2019: 1-8 - [c76]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Shuai Zhang, Chris D. Nugent:
Undersampling Near Decision Boundary for Imbalance Problems. ICMLC 2019: 1-8 - [c75]Xiaoxia Jiang, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang:
Incremental Hashing with Undersampling. SMC 2019: 616-622 - 2018
- [j29]Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung:
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking. Neurocomputing 275: 916-923 (2018) - [c74]Zhujie Lin, Jianjun Zhang, Wing W. Y. Ng:
Imbalanced High-Frequency Number Classification Based on DSUS. ICMLC 2018: 19-24 - [c73]Ya-Qi Chen, Jianjun Zhang, Wing W. Y. Ng:
Loan Default Prediction Using Diversified Sensitivity Undersampling. ICMLC 2018: 240-245 - [c72]Jianjun Zhang, Wing W. Y. Ng:
Stochastic Sensitivity Measure-Based Noise Filtering and Oversampling Method for Imbalanced Classification Problems. SMC 2018: 403-408 - [c71]Xing Tian, Wing W. Y. Ng, Hui Wang:
Incremental Hashing with Dynamic Semantic Pool. SMC 2018: 420-425 - 2017
- [j28]Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan:
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval. Int. J. Mach. Learn. Cybern. 8(2): 571-586 (2017) - [j27]Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan:
Improved sparse LSSVMS based on the localized generalization error model. Int. J. Mach. Learn. Cybern. 8(6): 1853-1861 (2017) - [j26]Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz:
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 47(11): 3814-3826 (2017) - [j25]Yingsheng Ye, Xingming Zhang, Wing W. Y. Ng:
Color Distribution Pattern Metric for Person Reidentification. Wirel. Commun. Mob. Comput. 2017 (2017) - [c70]Yulin Chai, Jianjun Zhang, Wing W. Y. Ng:
Weighted ensemble of Diversified Sensitivity-based undersampling for imbalanced pattern classification problems. ICMLC 2017: 42-47 - [c69]Zhiyan Huang, Zhixing Huang, Jiayong Li, Danxia Huang, Junxian Fan, Wing W. Y. Ng:
No-Load Backhaul Ratio Reduction by Interactive Routing for Small Goods Delivery with Time Window Constraints. iThings/GreenCom/CPSCom/SmartData 2017: 299-305 - [c68]Tianyu Chen, Ting Wang, Wing W. Y. Ng, Jianjun Zhang:
Feature Weighting for RBFNN Based on Genetic Algorithm and Localized Generalization Error Model. iThings/GreenCom/CPSCom/SmartData 2017: 306-311 - [c67]Ting Wang, Guangjun Zeng, Wing W. Y. Ng, Jinde Li:
Dual Denoising Autoencoder Features for Imbalance Classification Problems. iThings/GreenCom/CPSCom/SmartData 2017: 312-317 - [c66]Wing W. Y. Ng, Yuda Zhang, Jianjun Zhang:
Bsmboost for imbalanced pattern classification problems. SMC 2017: 930-935 - [c65]Shuai Zhang, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent:
Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error. UCAmI 2017: 498-507 - 2016
- [j24]Wing W. Y. Ng, Guangjun Zeng, Jianjun Zhang, Daniel S. Yeung, Witold Pedrycz:
Dual autoencoders features for imbalance classification problem. Pattern Recognit. 60: 875-889 (2016) - [j23]Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan:
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 27(5): 978-992 (2016) - [c64]Jing Liao, Jianjun Zhang, Wing W. Y. Ng:
Effects of different base classifiers to Learn++ family algorithms for concept drifting and imbalanced pattern classification problems. ICMLC 2016: 99-104 - [c63]Tian Xing, Wing W. Y. Ng:
Semi-supervised online hashing. ICMLC 2016: 311-317 - 2015
- [j22]Wing W. Y. Ng, Yueming Lv, Daniel S. Yeung, Patrick P. K. Chan:
Two-phase mapping hashing. Neurocomputing 151: 1423-1429 (2015) - [j21]Patrick P. K. Chan, Cheng Yang, Daniel S. Yeung, Wing W. Y. Ng:
Spam filtering for short messages in adversarial environment. Neurocomputing 155: 167-176 (2015) - [j20]Lidia S. Chao, Derek F. Wong, Philip C. L. Chen, Wing W. Y. Ng, Daniel S. Yeung:
Benefiting feature selection by the discovery of false irrelevant attributes. Int. J. Wavelets Multiresolution Inf. Process. 13(4): 1550023:1-1550023:17 (2015) - [j19]Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng:
Quantification of side-channel information leaks based on data complexity measures for web browsing. Int. J. Mach. Learn. Cybern. 6(4): 607-619 (2015) - [j18]Wing W. Y. Ng, Jinchen Li, Shaoyong Feng, Daniel S. Yeung, Patrick P. K. Chan:
Sensitivity based image filtering for multi-hashing in large scale image retrieval problems. Int. J. Mach. Learn. Cybern. 6(5): 777-794 (2015) - [j17]Wing W. Y. Ng, Junjie Hu, Daniel S. Yeung, Shaohua Yin, Fabio Roli:
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems. IEEE Trans. Cybern. 45(11): 2402-2412 (2015) - [j16]Yueming Lv, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan:
Asymmetric Cyclical Hashing for Large Scale Image Retrieval. IEEE Trans. Multim. 17(8): 1225-1235 (2015) - [c62]Zhi-Qian Huang, Yuememg Lv, Xing Tian, Wing W. Y. Ng:
Hyperspherical embedding iterative quantization hashing. ICMLC 2015: 904-909 - 2014
- [j15]Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung:
An improved differential evolution and its application to determining feature weights in similarity-based clustering. Neurocomputing 146: 95-103 (2014) - [j14]Wing W. Y. Ng, Xue-Ling Liang, Jin-Cheng Li, Daniel S. Yeung, Patrick P. K. Chan:
LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model. Neurocomputing 146: 104-112 (2014) - [j13]Wing W. Y. Ng, Zhi-Min He, Daniel S. Yeung, Patrick P. K. Chan:
Steganalysis classifier training via minimizing sensitivity for different imaging sources. Inf. Sci. 281: 211-224 (2014) - [j12]Jin-Cheng Li, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Bi-firing deep neural networks. Int. J. Mach. Learn. Cybern. 5(1): 73-83 (2014) - [c61]Ziqian Zeng, Yueming Lv, Wing W. Y. Ng:
Multiple Orthogonal K-means Hashing. ICMLC (CCIS volume) 2014: 117-126 - [c60]Tongwen Rong, Huachang Gong, Wing W. Y. Ng:
Stochastic Sensitivity Oversampling Technique for Imbalanced Data. ICMLC (CCIS volume) 2014: 161-171 - [c59]Xiancheng Zhou, Zhi-Qian Huang, Wing W. Y. Ng:
Weighted grid Principal Component Analysis hashing. ICMLC 2014: 200-205 - [c58]Li-Bin Zheng, Wing W. Y. Ng:
Rotated k-means hashing for image retrieval problems. ICMLC 2014: 227-234 - [c57]Zihong Cao, Guangjun Zeng, Wing W. Y. Ng, Jincheng Le:
Auto-encoder using the bi-firing activation function. ICMLC 2014: 271-277 - 2013
- [j11]Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error. Int. J. Wavelets Multiresolution Inf. Process. 11(3) (2013) - 2012
- [j10]Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng, Chih-Min Lin, James N. K. Liu:
Dynamic fusion method using Localized Generalization Error Model. Inf. Sci. 217: 1-20 (2012) - [c56]Zhi-Qian Huang, Wing W. Y. Ng:
Empirical estimation of functional relationships between Q value of the L-GEM and training data using genetic programming. ICMLC 2012: 341-348 - [c55]Xue-Ling Liang, Wing W. Y. Ng:
Stock investment decision support using an ensemble of L-GEM based on RBFNN diverse trained from different years. ICMLC 2012: 394-399 - 2011
- [c54]Wing W. Y. Ng, Xin Ran, Patrick P. K. Chan, Daniel S. Yeung:
News story clustering using L-GEM based RBFNN. ICMLC 2011: 85-90 - [c53]Wing W. Y. Ng, Li Lin, Patrick P. K. Chan, Daniel S. Yeung:
3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning. ICMLC 2011: 324-329 - [c52]Wing W. Y. Ng, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung:
Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method. ICMLC 2011: 447-453 - [c51]Wing W. Y. Ng, Yi-Song Qiao, Li Lin, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung:
Intelligent book positioning for library using RFID and book spine matching. ICMLC 2011: 465-470 - [c50]Wing W. Y. Ng, Xue-Ling Liang, Patrick P. K. Chan, Daniel S. Yeung:
Stock investment decision support for Hong Kong market using RBFNN based candlestick models. ICMLC 2011: 538-543 - [c49]Wing W. Y. Ng, Timothy Tian-Ming Zheng, Patrick P. K. Chan, Daniel S. Yeung:
Social relationship discovery and face annotation in personal photo collection. ICMLC 2011: 631-637 - [c48]Wing W. Y. Ng, Yao-Hong Chan, Patrick P. K. Chan, Daniel S. Yeung:
Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems. ICMLC 2011: 723-726 - [c47]Wing W. Y. Ng, Qian-Cheng Wang, Rui-Jie Yang, Patrick P. K. Chan, Daniel S. Yeung:
A study on the effect of scaling functions to feature weighting performance. ICMLC 2011: 1077-1081 - [c46]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
A survey of the initialization of centers and widths in radial basis function network for classification. ICMLC 2011: 1082-1087 - [c45]Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng, Daniel S. Yeung, Jinshan Jiang:
A novel defend against good word attacks. ICMLC 2011: 1088-1092 - [c44]Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng, Daniel S. Yeung:
Dynamic base classifier pool for classifier selection in Multiple Classifier Systems. ICMLC 2011: 1093-1096 - [c43]Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng, Daniel S. Yeung:
Sensitivity based Growing and Pruning method for RBF network in online learning environments. ICMLC 2011: 1107-1112 - [c42]Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng, Daniel S. Yeung:
Comparision of different classifiers in fault detection in microgrid. ICMLC 2011: 1210-1213 - [c41]Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng, Daniel S. Yeung:
Disturbance rejection using error estimation in neural network controller design. ICMLC 2011: 1220-1225 - [c40]Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng, Daniel S. Yeung:
Multiple classifier system for short term load forecast of Microgrid. ICMLC 2011: 1268-1273 - [c39]Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng, Daniel S. Yeung:
A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems. ICMLC 2011: 1637-1642 - [c38]Wing W. Y. Ng, Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung:
Blind steganalysis with high generalization capability for different image databases using L-GEM. ICMLC 2011: 1690-1695 - [c37]Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng, Daniel S. Yeung:
Depth estimation from a single image using defocus cues. ICMLC 2011: 1732-1738 - [c36]Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng, Daniel S. Yeung:
Dynamic hierarchical semantic network based image retrieval using relevance feedback. ICMLC 2011: 1746-1751 - [c35]Wing W. Y. Ng, Xian-Heng Ma, Patrick P. K. Chan, Daniel S. Yeung:
Multi-object tracking in video using Localized Generalization Error model based RBFNN. ICMLC 2011: 1825-1831 - 2010
- [b1]Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng:
Sensitivity Analysis for Neural Networks. Natural Computing Series, Springer 2010, ISBN 978-3-642-02531-0, pp. 1-82 - [c34]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. ICMLC 2010: 134-140 - [c33]Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Apply randomization in KNN to make the adversary harder to attack the classifier. ICMLC 2010: 179-183 - [c32]Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Feature weighting based on L-GEM. ICMLC 2010: 220-224 - [c31]Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
A novel approach on control simulation using neural network ensemble. ICMLC 2010: 357-362 - [c30]Weiwei Lai, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Trademark classification by shape using ensemble of RBFNNs. ICMLC 2010: 391-396 - [c29]Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Feature selection for blind steganalysis using localized generalization error model. ICMLC 2010: 500-505 - [c28]Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions. ICMLC 2010: 669-674 - [c27]Dong-Liang Wu, Wing W. Y. Ng, Patrick P. K. Chan, Hai-Lan Ding, Bing-Zhong Jing, Daniel S. Yeung:
Access control by RFID and face recognition based on neural network. ICMLC 2010: 675-680 - [c26]Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Anti-spoofing system for RFID access control combining with face recogntion. ICMLC 2010: 698-703 - [c25]Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Content-based image retrieval using color moment and Gabor texture feature. ICMLC 2010: 719-724 - [c24]Wei Xiao, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor. ICMLC 2010: 763-768 - [c23]Timothy Tian-Ming Zheng, Wing W. Y. Ng, Xu-Sheng Huang, Shi-Ting Yang, Patrick P. K. Chan, Weiwei Lai, Daniel S. Yeung:
Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment. ICMLC 2010: 808-814 - [c22]Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Dong-Liang Wu, Xiao-Ling Chen, Daniel S. Yeung:
RFID indoor positioning using RBFNN with L-GEM. ICMLC 2010: 1147-1152 - [c21]Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung, Dong-Liang Wu:
RFID reader deployment using RBFNN with L-GEM. ICMLC 2010: 1153-1158 - [c20]Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM. ICMLC 2010: 1402-1407 - [c19]Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan:
Construction of radial basis function neural networks via a minimization of its localized generalization error. ICMLC 2010: 1437-1442 - [c18]Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers. ICMLC 2010: 1464-1469 - [c17]Yao-Hong Chan, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. ICMLC 2010: 1524-1527 - [c16]Gao-Yang Cai, Wing W. Y. Ng, Patrick P. K. Chan, Michael Firth, Daniel S. Yeung:
Moving average crossovers for short-term equity investment with L-GEM based RBFNN. ICMLC 2010: 1684-1688 - [c15]Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Steganography detection using localized generalization error model. SMC 2010: 1544-1549
2000 – 2009
- 2009
- [j9]Daniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng:
Radial Basis Function network learning using localized generalization error bound. Inf. Sci. 179(19): 3199-3217 (2009) - [c14]Wing W. Y. Ng, Jun Wang, Daniel S. Yeung:
IPCM Separability Ratio for Supervised Feature Selection. SMC 2009: 211-215 - 2008
- [j8]Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang:
The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine. Int. J. Pattern Recognit. Artif. Intell. 22(1): 121-135 (2008) - [j7]Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung:
A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. Int. J. Pattern Recognit. Artif. Intell. 22(1): 137-151 (2008) - [j6]Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang:
Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognit. 41(12): 3706-3719 (2008) - [c13]Huili Li, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung:
Quantitative study on candlestick pattern for Shenzhen Stock Market. SMC 2008: 54-59 - [c12]Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang:
Localized generalization error based active learning for image annotation. SMC 2008: 60-65 - [c11]Shixi Fan, Yaoyun Zhang, Wing W. Y. Ng, Xuan Wang, Xiaolong Wang:
Semantic Chunk Annotation for questions using Maximum Entropy. SMC 2008: 450-454 - [c10]Yang Lv, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung:
Information extraction based on information fusion from multiple news sources from the web. SMC 2008: 1471-1476 - 2007
- [j5]Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang:
Structured large margin machines: sensitive to data distributions. Mach. Learn. 68(2): 171-200 (2007) - [j4]Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo:
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. Pattern Recognit. 40(1): 19-32 (2007) - [j3]Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. 11(4): 375-381 (2007) - [j2]Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Trans. Neural Networks 18(5): 1294-1305 (2007) - [c9]Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang:
Heuristic improvement for active learning using localized generalization error as selection criterion. SMC 2007: 3588-3593 - 2006
- [j1]Ming Lu, Daniel S. Yeung, Wing W. Y. Ng:
Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction. Soft Comput. 10(1): 68-77 (2006) - [c8]Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang, Michael Firth:
Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping. SMC 2006: 845-850 - 2005
- [c7]Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng:
Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection. ICMLC 2005: 682-690 - [c6]Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang:
Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure. ICMLC 2005: 851-860 - [c5]Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang:
Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach. KES (3) 2005: 141-148 - [c4]Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang:
Quantitative study on the generalization error of multiple classifier systems. SMC 2005: 889-894 - [c3]Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Active learning using localized generalization error of candidate sample as criterion. SMC 2005: 3604-3609 - 2004
- [c2]Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete:
Quantitative study on effect of center selection to RBFNN classification performance. SMC (4) 2004: 3692-3697 - 2003
- [c1]Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete:
Input sample selection for RBF neural network classification problems using sensitivity measure. SMC 2003: 2593-2598
Coauthor Index
[j56] [j28] [j27] [j23] [j22] [j21] [j19] [j18] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j9] [j7] [c3]
[j56] [j32] [j29] [j28] [j26] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [b1] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j9] [c14] [j8] [j7] [j6] [c13] [c12] [c10] [j5] [j4] [j3] [j2] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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