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ORCID25th ICONIP 2018: Siem Reap, Cambodia
- Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11302, Springer 2018, ISBN 978-3-030-04178-6
Other Neural Network Models
- Wonjik Kim, Osamu Hasegawa:
Improved Kernel Density Estimation Self-organizing Incremental Neural Network to Perform Big Data Analysis. 3-13 - Adil Imad Eddine Hosni
, Kan Li, Sadique Ahmad:
HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social Networks. 14-27 - Zihao Dong, Ruixun Zhang, Xiuli Shao, Huichao Li, Zihan Yang:
Multi-scale Feature Decode and Fuse Model with CRF Layer for Boundary Detection. 28-40 - David Ireland, Hamed Hassanzadeh, Son N. Tran:
Sentimental Analysis for AIML-Based E-Health Conversational Agents. 41-51 - Gaosheng Wu, Yuhua Li, Wenjin Yan, Ruixuan Li, Xiwu Gu, Qi Yang:
Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network. 52-63 - Paul Andrei Bricman, Radu Tudor Ionescu:
CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values. 64-76 - Ningqi Luo, Binheng Song, Yinxu Pan, Bin Shen:
BCMLP: Binary-Connected Multilayer Perceptrons. 77-88 - Chaoming Wang, Yi Zeng:
Network of Recurrent Neural Networks: Design for Emergence. 89-102 - Adedamola Wuraola, Nitish D. Patel:
Computationally Efficient Radial Basis Function. 103-112 - Jan Kristoffer Y. Cheng, Avril Ranezca L. Fernandez, Rissa Grace Marie Quindoza, Shayane E. Tan, Charibeth Cheng:
A Model for Age and Gender Profiling of Social Media Accounts Based on Post Contents. 113-123 - Junya Chen, Jianfeng Feng, Wenlian Lu:
A Wiener Causality Defined by Relative Entropy. 124-133 - Xin Lin, Yonggang Li, Chunping Liu, Yi Ji, Jianyu Yang:
Scene Graph Generation Based on Node-Relation Context Module. 134-145 - Yanyin Chen, Xing Chen, Huibin Tan, Xiang Zhang, Long Lan, Xuhui Huang, Zhigang Luo:
Cross-Layer Convolutional Siamese Network for Visual Tracking. 146-156 - Lei Xia, Jiancheng Lv, Yong Xu:
A Data Augmentation Model Based on Variational Approach. 157-168 - Zhiyuan Pan, Zongzhang Zhang, Zixuan Chen:
Asynchronous Value Iteration Network. 169-180 - Mingxing Tang, Zhen Huang, Linbo Qiao, Shuyang Du, Yuxing Peng, Changjian Wang:
FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets. 181-193 - Ryo Tani, Yoshiki Kashimori:
A Neural Network Model for Gating Task-Relevant Information by Rhythmic Oscillations. 194-202 - Jiao Dai, Mingming Li, Songlin Hu, Jizhong Han:
A Hybrid Model Based on the Rating Bias and Textual Bias for Recommender Systems. 203-214 - Bhadra S. Kumar, Avinash Kori, Sundari Elango, V. Srinivasa Chakravarthy:
Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map. 215-226 - Felipe Zilio, Marcelo O. R. Prates, Luís C. Lamb:
Neural Networks Models for Analyzing Magic: The Gathering Cards. 227-239 - Zhipeng Lin, Wenjing Yang, Yongjun Zhang, Haotian Wang, Yuhua Tang:
MulAttenRec: A Multi-level Attention-Based Model for Recommendation. 240-252 - Zihan Wang, Neng Gao, Xin Wang, Xuexin Qu, Linghui Li:
SSteGAN: Self-learning Steganography Based on Generative Adversarial Networks. 253-264 - Qiang Sun, Jialiang Wu, Yue Wu:
A Multidimensional Interaction-Focused Model for Ad-Hoc Retrieval. 265-274 - Yang Duan, Chung-Hsing Yeh, David L. Dowe:
Accounting Results Modelling with Neural Networks: The Case of an International Oil and Gas Company. 275-285 - Weidi Xu, Yong Ren, Ying Tan:
Attention Based Dialogue Context Selection Model. 286-295 - Xingwu Lu, Man Lan, Yuanbin Wu:
Memory-Based Model with Multiple Attentions for Multi-turn Response Selection. 296-307 - Muideen Adegoke, Andrew Chi-Sing Leung, John Sum:
A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements. 308-320 - Takahiro Toizumi, Katsutoshi Saeki:
Central Pattern Generator Based on Interstitial Cell Models Made from Bursting Neuron Models. 321-329 - Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng, Bao-Liang Lu:
Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. 330-340
Stability Analysis
- Ozlem Faydasicok, Cemal Cicek, Sabri Arik:
A New Robust Stability Result for Delayed Neural Networks. 343-352 - Ozlem Faydasicok, Sabri Arik:
A Novel Criterion for Global Asymptotic Stability of Neutral-Type Neural Networks with Discrete Time Delays. 353-360 - Dan Liu, Dan Ye:
Anti-synchronization of Neural Networks with Mixed Delays. 361-370 - Hao Qiang, Wenlian Lu:
Incremental Stability of Neural Networks with Switched Parameters and Time Delays via Contraction Theory of Multiple Norms. 371-380 - Jiarong Li, Haijun Jiang, Cheng Hu, Juan Yu:
Lag Synchronization of Complex-Valued Neural Networks with Time Delays. 381-392 - Jiali Yu, Zhang Yi, Chunxiao Wang, Yong Liao, Zhixin Pang:
Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights. 393-402
Optimization
- Lingmei Huang, Youshen Xia, Songchuan Zhang:
Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization Problems. 405-416 - Di Liang, Zhi-Hui Zhan, Jun Zhang:
An Adaptive Ant Colony System for Public Bicycle Scheduling Problem. 417-429 - Na Liu, Wenwen Jia, Sitian Qin, Guocheng Li:
An Artificial Neural Network for Distributed Constrained Optimization. 430-441 - Jia-Ying Lin, Wei-Neng Chen, Jun Zhang:
An Estimation of Distribution Algorithm for Large-Scale Optimization with Cooperative Co-evolution and Local Search. 442-452 - Hangjun Che, Jun Wang:
A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization. 453-462 - Hu Lu, Qi Yao:
Modularity Maximization for Community Detection Using Genetic Algorithm. 463-472 - Petru Soviany, Radu Tudor Ionescu:
Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors. 473-485 - Zeyu Mi, Lin Shang, Bing Xue:
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. 486-497 - Deyu Zeng, Ming Yin, Shengli Xie, Zongze Wu:
Robust Regression with Nonconvex Schatten p-Norm Minimization. 498-508 - Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie:
Adaptive Crossover Memetic Differential Harmony Search for Optimizing Document Clustering. 509-518 - Nian Zhang, Keenan Leatham:
Neurodynamics-Based Nonnegative Matrix Factorization for Classification. 519-529 - Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew:
A Multi-kernel Semi-supervised Metric Learning Using Multi-objective Optimization Approach. 530-541 - Samuel Yu Toh, Maolin Tang:
Software-as-a-Service Composition in Cloud Computing Using Genetic Algorithm. 542-551 - David Iclanzan, Sándor Miklós Szilágyi, László Szilágyi:
Evolving Computationally Efficient Hashing for Similarity Search. 552-563 - Chun-Wa Leung, Sin Chun Ng, Andrew K. Lui:
Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization. 564-576 - Shenshen Gu, Xinyi Chen:
A Neural Network Based Global Optimal Algorithm for Unconstrained Binary Quadratic Programming Problem. 577-587
Supervised Learning
- Adedamola Wuraola, Nitish D. Patel:
Stochasticity-Assisted Training in Artificial Neural Network. 591-602 - Md. Zakir Hossain, Tom Gedeon:
An Independent Approach to Training Classifiers on Physiological Data: An Example Using Smiles. 603-613 - Ninnart Fuengfusin, Hakaru Tamukoh:
Mixed Precision Weight Networks: Training Neural Networks with Varied Precision Weights. 614-623 - Yan Yan, Quan Liu:
Policy Space Noise in Deep Deterministic Policy Gradient. 624-634 - Hideki Oki, Takio Kurita:
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network. 635-644 - Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu:
Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. 645-654 - Alfonso B. Labao, Carlo R. Raquel, Prospero C. Naval Jr.:
Induced Exploration on Policy Gradients by Increasing Actor Entropy Using Advantage Target Regions. 655-667 - Hao Wang, Andrew Chi-Sing Leung, John Sum:
MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers. 668-679 - Muideen Adegoke, Andrew Chi-Sing Leung, John Sum:
Fault-Resistant Algorithms for Single Layer Neural Networks. 680-689 - Ryota Komiyama, Motonobu Hattori:
Adversarial Minimax Training for Robustness Against Adversarial Examples. 690-699 - Shuai Gao, JunMin Wu, Da Chen, Jie Ding:
SATB-Nets: Training Deep Neural Networks with Segmented Asymmetric Ternary and Binary Weights. 700-710 - Xuesong Jiang, Zhipeng Li, Xiumei Wei:
Asynchronous Methods for Multi-agent Deep Deterministic Policy Gradient. 711-721 - Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah:
A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram. 722-731
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