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28th ICONIP 2021: Sanur, Bali, Indonesia - Part III
- Teddy Mantoro, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto:
Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part III. Lecture Notes in Computer Science 13110, Springer 2021, ISBN 978-3-030-92237-5
Cognitive Neurosciences
- Madina Saparbayeva, Adai Shomanov, Min-Ho Lee:
A Novel Binary BCI Systems Based on Non-oddball Auditory and Visual Paradigms. 3-14 - Chaoming Wang, Yingqian Jiang, Xinyu Liu, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Si Wu:
A Just-In-Time Compilation Approach for Neural Dynamics Simulation. 15-26 - Zhiping Lai, Xiaoyang Kang, Hongbo Wang, Weiqi Zhang, Xueze Zhang, Peixian Gong, Lan Niu, Huijie Huang:
STCN-GR: Spatial-Temporal Convolutional Networks for Surface-Electromyography-Based Gesture Recognition. 27-39 - Xianghong Lin, Tiandou Hu, Xiangwen Wang, Han Lu:
Gradient Descent Learning Algorithm Based on Spike Selection Mechanism for Multilayer Spiking Neural Networks. 40-51 - Zhiwei Xu, Bin Zhang, Yunpeng Bai, Dapeng Li, Guoliang Fan:
Learning to Coordinate via Multiple Graph Neural Networks. 52-63 - Hongru Huang:
A Reinforcement Learning Approach for Abductive Natural Language Generation. 64-75 - Jinjie Chen, Yuzhuo Fu, Yibo Jin, Ting Liu:
DFFCN: Dual Flow Fusion Convolutional Network for Micro Expression Recognition. 76-87 - Yingjie Chen, Jiarui Zhang, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang:
AUPro: Multi-label Facial Action Unit Proposal Generation for Sequence-Level Analysis. 88-99 - M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia:
Deep Kernelized Network for Fine-Grained Recognition. 100-111 - Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
Semantic Perception Swarm Policy with Deep Reinforcement Learning. 112-124
Reliable, Robust, and Secure Machine Learning Algorithms
- Shanshan Liu, Fenglei Yang:
Open-Set Recognition with Dual Probability Learning. 127-137 - Anna Wróblewska, Bartlomiej Chechlinski, Sylwia Sysko-Romanczuk, Karolina Seweryn:
How Much Do Synthetic Datasets Matter in Handwritten Text Recognition? 138-149 - Jiarui Xie, Violaine Antoine, Thierry Chateau:
PCMO: Partial Classification from CNN-Based Model Outputs. 150-163 - Shanshan Ji, Te Li, Shiqiang Zhu, Qiwei Meng, Jianjun Gu:
Multi-branch Fusion Fully Convolutional Network for Person Re-Identification. 164-175 - Yangchang Sun, Minghao Yang, Jialing Li, Baohua Qiang, Jinlong Chen, Qingyu Jia:
Fast Organization of Objects' Spatial Positions in Manipulator Space from Single RGB-D Camera. 176-187 - Andrei Ilie, Marius Popescu, Alin Stefanescu:
EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks. 188-200 - Juan Gong:
A Novel Oversampling Technique for Imbalanced Learning Based on SMOTE and Genetic Algorithm. 201-212 - Haojie Chen, Jiangting Fan, Yong Liu, Xingfeng Lv:
Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning. 213-223 - Jing Zhang, PeiXian Ding, Shuai Fang:
Multi-label Classification of Hyperspectral Images Based on Label-Specific Feature Fusion. 224-234 - Li-Dan Kuang, Jiajun Tao, Jianming Zhang, Feng Li, Xi Chen:
A Novel Multi-scale Key-Point Detector Using Residual Dense Block and Coordinate Attention. 235-246 - Gio Huh:
Alleviating Catastrophic Interference in Online Learning via Varying Scale of Backward Queried Data. 247-256 - Jifeng Ye, Yang-Geng Fu:
Construction and Reasoning for Interval-Valued EBRB Systems. 257-268
Theory and Applications of Natural Computing Paradigms
- Hiroki Kurashige, Hiroyuki Hoshino, Takashi Owaki, Kenichi Ueno, Topi Tanskanen, Kang Cheng, Hideyuki Câteau:
Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling a Brain-mimetic Visual Recognition Algorithm. 271-283 - Attaporn Wangpoonsarp, Fumiyo Fukumoto:
Predominant Sense Acquisition with a Neural Random Walk Model. 284-295 - Takehiro Ichimura, Ryosho Nakane, Akira Hirose:
Processing-Response Dependence on the On-Chip Readout Positions in Spin-Wave Reservoir Computing. 296-307
Advances in Deep and Shallow Machine Learning Algorithms for Biomedical Data and Imaging
- Rahul Kumar, Sriparna Saha:
A Multi-task Learning Scheme for Motor Imagery Signal Classification. 311-322 - Li Nie, Huan Cai, Yihan Wu, Yangsong Zhang:
An End-to-End Hemisphere Discrepancy Network for Subject-Independent Motor Imagery Classification. 323-333 - Yizhou Chen, Zhengwei Lu, Xu-Hua Yang, Haigen Hu, Qiu Guan, Feng Chen:
Multi-domain Abdomen Image Alignment Based on Joint Network of Registration and Synthesis. 334-344 - Cong Wu, Xiao Liu, Shijun Li, Cheng Long:
Coordinate Attention Residual Deformable U-Net for Vessel Segmentation. 345-356 - Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Yan Hu, Jin Yuan, Wan Chen, Jiang Liu:
Gated Channel Attention Network for Cataract Classification on AS-OCT Image. 357-368 - Marek Kraft, Dominik Pieczynski, Krzysztof 'Kris' Siemionow:
Overcoming Data Scarcity for Coronary Vessel Segmentation Through Self-supervised Pre-training. 369-378 - Georg Brandmayr, Manfred Martin Hartmann, Franz Fürbass, Georg Dorffner:
Self-Attention Long-Term Dependency Modelling in Electroencephalography Sleep Stage Prediction. 379-390 - Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schöffmann:
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos. 391-402 - Piotr Milczarski, Michal Beczkowski, Norbert Borowski:
Enhancing Dermoscopic Features Classification in Images Using Invariant Dataset Augmentation and Convolutional Neural Networks. 403-417 - Grzegorz Dudek, Pawel Pelka:
Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting. 418-430 - Hemin Ibrahim, Chu Kiong Loo, Fady Alnajjar:
Grouped Echo State Network with Late Fusion for Speech Emotion Recognition. 431-442
Applications
- Chen Meng, Run Han, Chen Pang, Chunmeng Kang, Chen Lyu, Lei Lyu:
MPANet: Multi-level Progressive Aggregation Network for Crowd Counting. 445-457 - Yingying Han, Jiwen Dong, Fan Li, Xiaohui Li, Xizhan Gao, Sijie Niu:
AFLLC: A Novel Active Contour Model Based on Adaptive Fractional Order Differentiation and Local-Linearly Constrained Bias Field. 458-469 - Yunhe Xie, Chengjie Sun, Bingquan Liu, Zhenzhou Ji:
DA-GCN: A Dependency-Aware Graph Convolutional Network for Emotion Recognition in Conversations. 470-481 - Xuewen Zhang, Yunye Zhang, Wenxin Yu, Liang Nie, Zhiqiang Zhang, Shiyu Chen, Jun Gong:
Semi-supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment. 482-493 - Xiaoguang Zhu, You Wu, Zhantao Yang, Peilin Liu:
Uncertainty-Aware Domain Adaptation for Action Recognition. 494-506 - Liang Nie, Wenxin Yu, Xuewen Zhang, Siyuan Li, Shiyu Chen, Zhiqiang Zhang, Jun Gong:
Free-Form Image Inpainting with Separable Gate Encoder-Decoder Network. 507-519 - Haitian Yang, Chonghui Zheng, Xuan Zhao, Yan Wang, Zheng Yang, Chao Ma, Qi Zhang, Weiqing Huang:
BERTDAN: Question-Answer Dual Attention Fusion Networks with Pre-trained Models for Answer Selection. 520-531 - Yulong Wang, Xiaolu Zhang, Jun Zhou, Hang Su:
Rethinking the Effectiveness of Selective Attention in Neural Networks. 532-543 - Zhonghao Chen, Cong Liu:
An Attention Method to Introduce Prior Knowledge in Dialogue State Tracking. 544-557 - Manisha Padala, Debojit Das, Sujit Gujar:
Effect of Input Noise Dimension in GANs. 558-569 - Hua Jian Ling, Kam Meng Goh, Weng Kin Lai:
Wiper Arm Recognition Using YOLOv4. 570-581 - Neeti Priya, Abhisek Tiwari, Sriparna Saha:
Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-Shot Intent Detection Approach. 582-595 - Te Guo, Lufan Zhang, Rui Ding, Da Zhang, Jinhong Ding, Ming Ma, Likun Xia:
Constrained Generative Model for EEG Signals Generation. 596-607 - Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Top-Rank Learning Robust to Outliers. 608-619 - Jinglong Yang, Xiongwen Quan, Han Zhang:
Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction. 620-631 - Zijian Wang, Yao Lu, Qingxuan Shi:
Edge Guided Attention Based Densely Connected Network for Single Image Super-Resolution. 632-643 - Siyu Lin, Peter A. Beling:
An Agent-Based Market Simulator for Back-Testing Deep Reinforcement Learning Based Trade Execution Strategies. 644-653 - Harsh Bhandari, Sarbani Palit:
Looking Beyond the Haze: A Pyramid Fusion Approach. 654-665 - Xin Song, Haiyang Wang, Bin Zhou:
DGCN-rs: A Dilated Graph Convolutional Networks Jointly Modelling Relation and Semantic for Multi-event Forecasting. 666-676 - Yuxin Zhuo, Xuesi Zhou, Ji Wu:
Training Graph Convolutional Neural Network Against Label Noise. 677-689 - Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand:
An LSTM-Based Plagiarism Detection via Attention Mechanism and a Population-Based Approach for Pre-training Parameters with Imbalanced Classes. 690-701
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