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ORCID27th ICONIP 2020: Bangkok, Thailand - Part V
- 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 18-22, 2020, Proceedings, Part V. Communications in Computer and Information Science 1333, Springer 2020, ISBN 978-3-030-63822-1
Computational Intelligence
- Lin Feng, Qing Yuan, Yang Liu, Qianxin Huang, Shenglan Liu, Yingping Li:
A Discriminative STGCN for Skeleton Oriented Action Recognition. 3-10 - Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie:
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition. 11-20 - Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. 21-29 - Minghui Hu, Qiushi Shi, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Adaptive Ensemble Variants of Random Vector Functional Link Networks. 30-37 - Hao Zhou, Dongchun Ren, Huaxia Xia, Mingyu Fan, Xu Yang, Hai Huang:
An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction. 38-45 - Xiaotong Gu, Zehong Cao:
An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients. 46-53 - Xianglin Zheng, Zehong Cao, Quan Bai:
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification. 54-61 - Priyadarshini Rai, Angshul Majumdar, Debarka Sengupta:
Cluster Aware Deep Dictionary Learning for Single Cell Analysis. 62-69 - Zhanglei Shi, Hao Wang, Chi-Sing Leung, John Sum:
Constrained Center Loss for Image Classification. 70-78 - Dao Zhou, Longbiao Wang, Kong Aik Lee, Meng Liu, Jianwu Dang:
Deep Discriminative Embedding with Ranked Weight for Speaker Verification. 79-86 - Shiya Liu, Yue Yao, Chaoyue Xing, Tom Gedeon:
Disguising Personal Identity Information in EEG Signals. 87-95 - Irina Mocanu, Loretta Ichim, Dan Popescu:
Fusioning Multiple Treatment Retina Images into a Single One. 96-103 - Prachumpong Dangsakul, Nutchanon Siripool, Kraithep Sirisanwannakul, Rachaporn Keinprasit, Khongpan Rungprateeptavorn, Suthum Keerativittayanun, Jessada Karnjana:
Humidity Sensor Accuracy Improvement Based on Two Nested Kalman Filters for Commercial Cultivation of Tropical Orchids. 104-112 - Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan, Mukesh Prasad:
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting. 113-120 - Xinyue Zhang, Xu Yang, Zhiyong Liu, Lu Zhang, Dongchun Ren, Mingyu Fan:
Knowledge-Experience Graph with Denoising Autoencoder for Zero-Shot Learning in Visual Cognitive Development. 121-129 - Yu Qiao, Kun Qian, Ziping Zhao:
Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification. 130-138 - Kenshi Machida, Isao Nambu, Yasuhiro Wada:
Neural Network Including Alternative Pre-processing for Electroencephalogram by Transposed Convolution. 139-146 - Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi:
Neural Network Training Using a Biogeography-Based Learning Strategy. 147-155 - Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. 156-163 - Kanchan Jha, Sriparna Saha, Matloob Khushi:
Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation. 164-171 - Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. 172-179 - Pattanapong Chantamit-o-pas, Weerakorn Pongpum, Krisakorn Kongsaksri:
Road Traffic Injury Prevention Using DBSCAN Algorithm. 180-187 - Lin Feng, Zhenning Lu, Shenglan Liu, Dong Jiang, Yang Liu, Lianyu Hu:
Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network. 188-194 - Xianghong Lin, Jiawei Geng, Qian Li:
Supervised Learning Algorithm for Spiking Neural Networks Based on Nonlinear Synaptic Interaction. 195-203 - Raunak Swarnkar, Krishna P. Miyapuram:
Temporal EEG Neural Activity Predicts Visuo-Spatial Motor Sequence Learning. 204-211 - Tsutomu Yoshida, Akitoshi Itai:
The Analysis of Relationship Between SSVEP and Visual Field Using a Circle-Form Checkerboard. 212-219 - Ragav Sachdeva, Frank Neumann, Markus Wagner:
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms. 220-228 - Edward Collier, Robert DiBiano, Supratik Mukhopadhyay:
Using Applicability to Quantifying Octave Resonance in Deep Neural Networks. 229-237
Machine Learning
- Tariq Mahmood Khan, Antonio Robles-Kelly:
A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks. 241-250 - Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John A. W. McCall, Alan Wee-Chung Liew, Tien Thanh Nguyen:
A Homogeneous-Heterogeneous Ensemble of Classifiers. 251-259 - Rakesh Kumar Sanodiya, Mrinalini Tiwari, Leehter Yao, Jimson Mathew:
A Particle Swarm Optimization Based Joint Geometrical and Statistical Alignment Approach with Laplacian Regularization. 260-268 - Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem. 269-278 - Rafiq Ahmed Mohammed, Kok Wai Wong, Mohd Fairuz Shiratuddin, Xuequn Wang:
Classification of Multi-class Imbalanced Data Streams Using a Dynamic Data-Balancing Technique. 279-290 - Li Zhang, Qing-Qing Pang, Zhiqiang Xu, Xiaohan Zheng:
Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction. 291-299 - Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning. 300-307 - Yijie Wang, Bo Yang:
Deep Denoising Subspace Single-Cell Clustering. 308-315 - Disheng Feng, Xuequan Lu, Xufeng Lin:
Deep Detection for Face Manipulation. 316-323 - Ghaith Bilbeisi, Sheraz Ahmed, Rupak Majumdar:
DeepEquaL: Deep Learning Based Mathematical Equation to Latex Generation. 324-332 - Dinda Pramanta, Hakaru Tamukoh:
Design and Implementation of Pulse-Coupled Phase Oscillators on a Field-Programmable Gate Array for Reservoir Computing. 333-341 - Zhuo Wu, Tsuyoshi Migita, Norikazu Takahashi:
Element-Wise Alternating Least Squares Algorithm for Nonnegative Matrix Factorization on One-Hot Encoded Data. 342-350 - Xianzhong Long, Jian Xiong, Yun Li:
Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering. 351-360 - Wenya Liu, Xiulin Wang, Tapani Ristaniemi, Fengyu Cong:
Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition. 361-369 - Harsh Raj, Suvodip Dey, Hiransh Gupta, P. K. Srijith:
Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel. 370-377 - Rupam Patir, Shubham Singhal, C. Anantaram, Vikram Goyal:
Interpretability of Black Box Models Through Data-View Extraction and Shadow Model Creation. 378-385 - Yiming Qian, Fangzhou Xiong, Zhiyong Liu:
Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning. 386-394 - Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul:
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning. 395-402 - Wen-tao Li, Jianwei Liu, Xiu-yan Chen, Xiong-Lin Luo:
Learning Disentangled Representations with Attentive Joint Variational Autoencoder. 403-411 - M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network. 412-419 - Ming Zhang, Hu Li, Xiaohui Kuang, Yuanping Nie, Cheng Qian, Zhendong Wu, Gang Zhao:
Non-norm-bounded Attack for Generating Adversarial Examples. 420-428 - Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini:
Sparse Asynchronous Distributed Learning. 429-438 - Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji:
Stable Training of Bellman Error in Reinforcement Learning. 439-448 - Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised Level-Wise Pretraining for Sequential Data Classification. 449-457 - Truong Dang, Tien Thanh Nguyen, John McCall:
Toward an Ensemble of Object Detectors. 458-467 - Yimin Wen, Qi Zhou, Yun Xue, Chao Feng:
Transfer Learning for Semi-supervised Classification of Non-stationary Data Streams. 468-477
Neural Network Models
- Rong Xiao, Tianyu Geng:
A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks. 481-489 - Yong Zhou, Haoyu Li, Li Lin:
A Term and Phase Invariant Neural Network for Fault Signal Diagnosis. 490-497 - Yifeng Wang, Yang Wang, Guiming Hu, Yuying Liu, Yi Zhao:
Adaptive Skewness Kurtosis Neural Network : Enabling Communication Between Neural Nodes Within a Layer. 498-507 - Yun Ye, Ganmei You, Jong-Kae Fwu, Xia Zhu, Qing Yang, Yuan Zhu:
Channel Pruning via Optimal Thresholding. 508-516 - Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu:
Concatenated Tensor Networks for Deep Multi-Task Learning. 517-525 - Noémie Gonnier, Yann Boniface, Hervé Frezza-Buet:
Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures. 526-534 - Prayook Jatesiktat, Guan Ming Lim, Wei Tech Ang:
Continuous Boundary Approximation from Data Samples Using Bidirectional Hypersphere Transformation Networks. 535-544 - Ersi Cha, Chi-Sing Leung, Eric Wing Ming Wong:
Convergence of Mini-Batch Learning for Fault Aware RBF Networks. 545-553 - Toshi Sinha, Brijesh K. Verma:
Convolutional Neural Network Architecture with Exact Solution. 554-562 - W. J. Samaraweera, S. C. Premaratne, Anuja T. Dharmarathne:
Deep Learning for Classification of Cricket Umpire Postures. 563-570 - Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna:
Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. 571-579 - Zbigniew Gomolka:
Fractional Backpropagation Algorithm - Convergence for the Fluent Shapes of the Neuron Transfer Function. 580-588 - Kai Hu, Dong Ding, Shuo Tian, Rui Gong, Li Luo, Lei Wang:
FTR-NAS: Fault-Tolerant Recurrent Neural Architecture Search. 589-597 - Grzegorz Dudek:
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. 598-606 - Yongqiang Zhao, Yuan Rao, Lianwei Wu, Cong Feng:
Image Captioning Algorithm Based on Sufficient Visual Information and Text Information. 607-615 - Abhijit Mahalunkar, John D. Kelleher:
Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures. 616-624 - Anupiya Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster:
RCNN for Region of Interest Detection in Whole Slide Images. 625-632 - Sanket Mishra, Raghunathan Balan, Ankit Shibu, Chittaranjan Hota:
Real-Time Probabilistic Approach for Traffic Prediction on IoT Data Streams. 633-641 - Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou:
Search-and-Train: Two-Stage Model Compression and Acceleration. 642-649 - Haowen Xu, Wenxiao Chen, Jinlin Lai, Zhihan Li, Youjian Zhao, Dan Pei:
Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs. 650-659 - Xianghong Lin, Jie Yang, Zhiqiang Li:
Software Defect Prediction with Spiking Neural Networks. 660-667 - Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka:
Spatial Graph Convolutional Networks. 668-675 - Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian:
STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. 676-684 - Ka-Hou Chan, Sio Kei Im, Wei Ke:
Variable-Depth Convolutional Neural Network for Text Classification. 685-692
Robotics and Control
- Florentijn Degroote, Mathias Thor, Jevgeni Ignasov, Jørgen Christian Larsen, Emilia Motoasca, Poramate Manoonpong:
Adaptive Neural Control for Efficient Rhythmic Movement Generation and Online Frequency Adaptation of a Compliant Robot Arm. 695-703 - Anoop Karnik Dasika, Praveen Paruchuri:
An Ensemble Learning Approach to Improve Tracking Accuracy of Multi Sensor Fusion. 704-712 - Hironobu Nakayama, Ko Ogi, Kazuya Matsuo, Shuichi Kurogi:
Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s. 713-722 - Jiaqi Liu, Yu Qiao, Jie Yang, Yun Gu:
Part-Boundary-Aware Networks for Surgical Instrument Parsing. 723-730
Time Series Analysis
- Xiufeng Liu, Zhichen Lai, Xin Wang, Lizhen Huang, Per Sieverts Nielsen:
A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream. 733-742 - Chalermrat Nontapa, Chainarong Kesamoon, Nicha Kaewhawong, Peerasak Intrapaiboon:
A New Time Series Forecasting Using Decomposition Method with SARIMAX Model. 743-751 - Cezara Benegui, Radu Tudor Ionescu:
Adversarial Attacks on Deep Learning Systems for User Identification Based on Motion Sensors. 752-761 - Ke Du, Jiaxing Yan, Zhou Hang, Zhihao Chen, Lulu Wu:
An LSTM Based Deep Learning Method for Airline Ticket Price Prediction. 762-769 - Qian Xu, Zhenjie Yao, Yanhui Tu, Yixin Chen:
Attention-Based Multi-component LSTM for Internet Traffic Prediction. 770-777 - Daichi Miyazaki, Kazuya Matsuo, Shuichi Kurogi:
Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series. 778-787 - Melanie Renkin, Jessica Sharmin Rahman:
Improving the Stability of a Convolutional Neural Network Time-Series Classifier Using SeLU and Tanh. 788-795 - Zahra Roozbehi, Mahsa Mohaghegh, Hossein Lanjanian, Peyman Hassani Abharian:
Proposing Two Different Feature Extraction Methods from Multi-fractal Detrended Fluctuation Analysis of Electroencephalography Signals: A Case Study on Attention-Deficit Hyperactivity Disorder. 796-803 - Yinuo Wang, Yu Guo, Fei Wang:
Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System. 804-812 - Xinrui Li, Liang Zhao, Xi Yin, Yinxin Zhu, Jianping Shen, Wei Tong:
Time and Incentive-Aware Neural Networks for Life Insurance Premium Prediction. 813-821 - Cezara Benegui, Radu Tudor Ionescu:
To Augment or Not to Augment? Data Augmentation in User Identification Based on Motion Sensors. 822-831 - Gaurangi Anand, Richi Nayak:
Unsupervised Visual Time-Series Representation Learning and Clustering. 832-840
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