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ORCID27th ICONIP 2020: Bangkok, Thailand - Part II
- Haiqin Yang
, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12533, Springer 2020, ISBN 978-3-030-63832-0
Computational Intelligence
- Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang:
A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. 3-14 - Qirui Yao, Yutaka Sakaguchi:
Adaptive Risk-Return Control in Motor Planning. 15-24 - Wael Korani, Malek Mouhoub:
Discrete Mother Tree Optimization for the Traveling Salesman Problem. 25-37 - Jian-Ping Xiao, Xiao-Min Hu, Wei-Neng Chen:
Dynamic Cloud Workflow Scheduling with a Heuristic-Based Encoding Genetic Algorithm. 38-49 - Senhua Zhao, Yue-Jiao Gong, Xiaolin Xiao:
Multi-strategy Evolutionary Computation for Automated Jigsaw Puzzles. 50-62 - Mózes Vidámi, László Szilágyi, David Iclanzan:
Real Valued Card Counting Strategies for the Game of Blackjack. 63-73
Machine Learning
- Rakesh Kumar Sanodiya, Debdeep Paul, Leehter Yao, Jimson Mathew, Aparna Juhi:
A Feature Selection Approach to Visual Domain Adaptation in Classification. 77-89 - Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski:
A Framework for Reinforcement Learning with Autocorrelated Actions. 90-101 - Linhao Luo, Kai Liu, Dan Peng, Yaolin Ying, Xiaofeng Zhang:
A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating. 102-114 - Adrien Fois, Bernard Girau:
A Spiking Neural Architecture for Vector Quantization and Clustering. 115-126 - Chandni Saxena, Tianyu Liu, Irwin King:
A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces. 127-139 - Lingyun Mi, Bo Dong, Bin Shi, Qinghua Zheng:
A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features. 140-151 - Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang:
Adversarial Rectification Network for Scene Text Regularization. 152-163 - Yang Chang, Huifang Ma, Yun Su, Zhixin Li:
An Overlapping Community Detection with Subspaces on Double-Views. 164-176 - Paul Black, Ammar Sohail, Iqbal Gondal, Joarder Kamruzzaman, Peter Vamplew, Paul A. Watters:
API Based Discrimination of Ransomware and Benign Cryptographic Programs. 177-188 - Yaoman Li, Irwin King:
AutoGraph: Automated Graph Neural Network. 189-201 - Zhenghua He, Chaochen Gu, Rui Xu, Kaijie Wu:
Automatic Curriculum Generation by Hierarchical Reinforcement Learning. 202-213 - Shaochen Wang, Yuan Pu, Shangtong Yang, Xin Yao, Bin Li:
Boltzmann Exploration for Deterministic Policy Optimization. 214-222 - Xin Liu, Zenglin Xu, Ping Guo:
Causal Inference for Mixed-Type Data in Additive Noise Models. 223-234 - Shaoning Pang, Tao Ban, Youki Kadobayashi, Jungsuk Song, Kaizhu Huang, Geongsen Poh, Iqbal Gondal, Kitsuchart Pasupa, Fadi A. Aloul:
CDMC'19 - The 10th International Cybersecurity Data Mining Competition. 235-245 - Randong Huang, Bo Xu:
Class-Balanced Loss for Scene Text Detection. 246-256 - Yuki Miyashita, Toshiharu Sugawara:
Coordinated Behavior for Sequential Cooperative Task Using Two-Stage Reward Assignment with Decay. 257-269 - Wathsala Anupama Mohotti, Richi Nayak:
Deep Hierarchical Non-negative Matrix Factorization for Clustering Short Text. 270-282 - Ze-Yu Liu, Jian-Wei Liu, Weimin Li, Xin Zuo:
Deep Reinforcement Learning with Temporal-Awareness Network. 283-294 - Linjing Zhang, Zongzhang Zhang:
Double Replay Buffers with Restricted Gradient. 295-306 - Xuanke You, Lan Zhang, Linzhuo Yang, Xiaojing Yu, Kebin Liu:
Entropy Repulsion for Semi-supervised Learning Against Class Mismatch. 307-319 - Marcin Blachnik, Joanna Henzel:
Estimating the Performance Indicators of Promotion Efficiency in FMCG Retail. 320-332 - Yanbin Jiang, Huifang Ma, Yuhang Liu, Zhixin Li:
Exploring User Trust and Reliability for Recommendation: A Hypergraph Ranking Approach. 333-344 - Ce Wang, Fei Jiang, Ruimin Shen:
Facial Action Units Intensity Estimation via Graph Relation Network. 345-356 - Xiaohan Zheng, Li Zhang, Leilei Yan:
Feature Selection Using Sparse Twin Bounded Support Vector Machine. 357-369 - Haojie Wang, Jieya Lian, Shengwu Xiong:
Few-Shot Classification with Transductive Data Clustering Transformation. 370-380 - Qing-Qing Pang, Li Zhang:
Forward Iterative Feature Selection Based on Laplacian Score. 381-392 - Tao Li, Jinwen Ma:
Functional Data Clustering Analysis via the Learning of Gaussian Processes with Wasserstein Distance. 393-403 - Lyes Khacef, Vincent Gripon, Benoît Miramond:
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. 404-416 - Anjie Peng, Kang Deng, Jing Zhang, Shenghai Luo, Hui Zeng, Wenxin Yu:
Gradient-Based Adversarial Image Forensics. 417-428 - Renzo Roel P. Tan, Kazushi Ikeda, John Paul C. Vergara:
Hindsight-Combined and Hindsight-Prioritized Experience Replay. 429-439 - Yuhao Zhou, Qing Ye, Hailun Zhang, Jiancheng Lv:
HPSGD: Hierarchical Parallel SGD with Stale Gradients Featuring. 440-451 - Shaochen Wang, Bin Li:
Implicit Posterior Sampling Reinforcement Learning for Continuous Control. 452-460 - Liang Yang, Xin Wang, Biao Leng:
Improving Multi-view Stereo with Contextual 2D-3D Skip Connection. 461-473 - Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Improving Self-Organizing Maps with Unsupervised Feature Extraction. 474-486 - Baber Majid Bhatti, Sameera Mubarak, Sev V. Nagalingam:
Information Security Implications of Machine-Learning-Based Automation in ITO Service Delivery - An Agency Theory Perspective. 487-498 - Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao:
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. 499-511 - Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka:
Processing of Incomplete Images by (Graph) Convolutional Neural Networks. 512-523 - Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang:
Multi-agent Cooperation and Competition with Two-Level Attention Network. 524-535 - Jianwei Liu, Hao-jie Xie, Runkun Lu, Xiong-Lin Luo:
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. 536-545 - Lingwei Kong, Hengtao Tao, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
Network Coding for Federated Learning Systems. 546-557 - Fuki Yamamoto, Lihua Wang, Seiichi Ozawa:
New Approaches to Federated XGBoost Learning for Privacy-Preserving Data Analysis. 558-569 - Siming Lian, Jianwei Liu, Xiong-Lin Luo:
Partially Disentangled Latent Relations for Multi-label Deep Learning. 570-579 - Quentin Gendre, Tomoyuki Kaneko:
Playing Catan with Cross-Dimensional Neural Network. 580-592 - Shintaro Ishikawa, Seiichi Ozawa, Tao Ban:
Port-Piece Embedding for Darknet Traffic Features and Clustering of Scan Attacks. 593-603 - Zhen Wu, Zongzhang Zhang, Xiaofang Zhang:
Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning. 604-615 - Yun-Hao Yuan, Zhaoqi Wu, Yun Li, Jipeng Qiang, Jianping Gou, Yi Zhu:
Regularized Multiset Neighborhood Correlation Analysis for Semi-paired Multiview Learning. 616-625 - Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu:
SAN: Sampling Adversarial Networks for Zero-Shot Learning. 626-638 - Changjie Liu, Yimin Wen, Yun Xue:
Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering. 639-650 - Kanata Suzuki, Tetsuya Ogata:
Stable Deep Reinforcement Learning Method by Predicting Uncertainty in Rewards as a Subtask. 651-662 - Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation. 663-675 - Chuan Liu, Qing Ye, Xiaoming Huang, Jiancheng Lv:
SuperConv: Strengthening the Convolution Kernel via Weight Sharing. 676-687 - Jiacheng Zhu, Chong Jiang:
TAC-GAIL: A Multi-modal Imitation Learning Method. 688-699 - Yuhang Liu, Huifang Ma, Yanbin Jiang, Zhixin Li:
Top-N Recommendation in P2P Lending: A Hybrid Graph Ranking Using Investor Profile. 700-712 - Jiarun Cai:
WD3-MPER: A Method to Alleviate Approximation Bias in Actor-Critic. 713-724
Robotics and Control
- Si-Yi Wei, Xiao-Bo Sun, Xiao-Hu Zhou, Zeng-Guang Hou:
A Novel Vascular Robotic System: Performance Evaluation. 727-737 - Christian Limberg, Heiko Wersing, Helge J. Ritter:
Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. 738-749 - Chaoran Huang, Lina Yao:
Active Object Estimation for Human-Robot Collaborative Tasks. 750-761 - Marlene Hammer Jeppesen, Jonas Jørgensen, Poramate Manoonpong:
Adaptive Neural CPG-Based Control for a Soft Robotic Tentacle. 762-774 - Carlos Viescas Huerta, Xiaofeng Xiong, Peter Billeschou, Poramate Manoonpong:
Adaptive Neuromechanical Control for Robust Behaviors of Bio-Inspired Walking Robots. 775-786 - Junwen Zhong, Weijun Sun, Qinyu Cai, Zhaowei Zhang, Zhekang Dong, Mingyu Gao:
Deep Learning Based Strategy for Eye-to-Hand Robotic Tracking and Grabbing. 787-798 - Thirawat Chuthong, Binggwong Leung, Kawee Tiraborisute, Potiwat Ngamkajornwiwat, Poramate Manoonpong, Nat Dilokthanakul:
Dynamical State Forcing on Central Pattern Generators for Efficient Robot Locomotion Control. 799-810 - Zhaoliang Wan, Lu Zhang, Hai Huang, Xu Yang:
GSDCN: A Customized Two-Stage Neural Network for Benthonic Organism Detection. 811-820
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