Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part III

Front Matter ....Pages i-xxv
Front Matter ....Pages 1-1
 Classification of Neuroblastoma Histopathological Images Using Machine Learning  (Adhish Panta, Matloob Khushi, Usman Naseem, Paul Kennedy, Daniel Catchpoole)....Pages 3-14
 Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer  (Matloob Khushi, Usman Naseem, Jonathan Du, Anis Khan, Simon K. Poon)....Pages 15-25
 Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss  (Usman Naseem, Matloob Khushi, Shah Khalid Khan, Nazar Waheed, Adnan Mir, Atika Qazi et al.)....Pages 26-37
 Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength  (Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed)....Pages 38-48
 Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography  (Philip Mehrgardt, Matloob Khushi, Anusha Withana, Simon Poon)....Pages 49-62
 Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction  (Keqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong)....Pages 63-75
Front Matter ....Pages 77-77
 Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli  (Nida Itrat Abbasi, Sony Saint-Auret, Junji Hamano, Anumita Chaudhury, Anastasios Bezerianos, Nitish V. Thakor et al.)....Pages 79-89
 Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution  (Yuki Kokai, Isao Nambu, Yasuhiro Wada)....Pages 90-97
 Inter and Intra Individual Variations of Cortical Functional Boundaries Depending on Brain States  (Zhen Zhang, Junhai Xu, Luqi Cheng, Cheng Chen, Lingzhong Fan)....Pages 98-109
 Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals  (Xingliang Xiong, Xuesong Lu, Lingyun Gu, Hongfang Han, Zhongxian Hong, Haixian Wang)....Pages 110-121
 The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods  (Hongfang Han, Xingliang Xiong, Jianfeng Yan, Haixian Wang, Mengting Wei)....Pages 122-134
 Transfer Dataset in Image Segmentation Use Case  (Anna Wróblewska, Sylwia Sysko-Romańczuk, Karol Prusinowski)....Pages 135-146
Front Matter ....Pages 147-147
 A Gaussian Process-Based Incremental Neural Network for Online Regression  (Xiaoyu Wang, Lucian Gheorghe, Jun-ichi Imura)....Pages 149-161
 Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function  (Wenhao Lu, Chi-Sing Leung, John Sum)....Pages 162-171
 Are Deep Neural Architectures Losing Information? Invertibility is Indispensable  (Yang Liu, Zhenyue Qin, Saeed Anwar, Sabrina Caldwell, Tom Gedeon)....Pages 172-184
 Automatic Dropout for Deep Neural Networks  (Veena Dodballapur, Rajanish Calisa, Yang Song, Weidong Cai)....Pages 185-196
 Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition  (Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi)....Pages 197-207
 Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding  (Shiming Song, Chenxiang Ma, Qiang Yu)....Pages 208-219
 Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model  (Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski)....Pages 220-231
 Environmentally-Friendly Metrics for Evaluating the Performance of Deep Learning Models and Systems  (Sorin Liviu Jurj, Flavius Opritoiu, Mircea Vladutiu)....Pages 232-244
 Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals  (Abdul Qayyum, Imran Razzak, Wajid Mumtaz)....Pages 245-257
 Iterative Imputation of Missing Data Using Auto-Encoder Dynamics  (Marek Śmieja, Maciej Kołomycki, Łukasz Struski, Mateusz Juda, Mário A. T. Figueiredo)....Pages 258-269
 Multi-objective Evolution for Deep Neural Network Architecture Search  (Petra Vidnerová, Roman Neruda)....Pages 270-281
 Neural Architecture Search for Extreme Multi-label Text Classification  (Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler)....Pages 282-293
 Non-linear ICA Based on Cramer-Wold Metric  (Przemysław Spurek, Aleksandra Nowak, Jacek Tabor, Łukasz Maziarka, Stanisław Jastrzębski)....Pages 294-305
 Oblique Random Forests on Residual Network Features  (Wen Xin Cheng, P. N. Suganthan, Rakesh Katuwal)....Pages 306-317
 P2ExNet: Patch-Based Prototype Explanation Network  (Dominique Mercier, Andreas Dengel, Sheraz Ahmed)....Pages 318-330
 Prediction of Taxi Demand Based on CNN-BiLSTM-Attention Neural Network  (Xudong Guo)....Pages 331-342
 Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition  (Madeline Brewer, Jessica Sharmin Rahman)....Pages 343-352
 Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding  (Regina Esi Turkson, Hong Qu, Yuchen Wang, Moses J. Eghan)....Pages 353-365
 VAEPP: Variational Autoencoder with a Pull-Back Prior  (Wenxiao Chen, Wenda Liu, Zhenting Cai, Haowen Xu, Dan Pei)....Pages 366-379
 Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work?  (Oyebade K. Oyedotun, Djamila Aouada)....Pages 380-392
Front Matter ....Pages 393-393
 AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data  (Chen Wang, Shilu Lin, Zhicong Zhong, Yipeng Zhou, Di Wu)....Pages 395-406
 Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering  (Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming)....Pages 407-419
 DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence  (Jun Zeng, Haoran Tang, Junhao Wen)....Pages 420-431
 Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate Prediction  (Lang Luo, Yufei Chen, Xianhui Liu, Qiujun Deng)....Pages 432-443
 GFEN: Graph Feature Extract Network for Click-Through Rate Prediction  (Mei Yu, Chengchang Zhen, Ruiguo Yu, Xuewei Li, Tianyi Xu, Mankun Zhao et al.)....Pages 444-454
 JUST-BPR: Identify Implicit Friends with Jump and Stay for Social Recommendation  (Runsheng Wang, Min Gao, Junwei Zhang, Quanwu Zhao)....Pages 455-466
 Leveraging Knowledge Context Information to Enhance Personalized Recommendation  (Jiong Wang, Yingshuai Kou, Yifei Zhang, Neng Gao, ChenYang Tu)....Pages 467-478
 LHRM: A LBS Based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform  (Ziyi Wang, Wendong Xiao, Yu Li, Zulong Chen, Zhi Jiang)....Pages 479-490
 Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching Task  (Lingxiao Zhang, Jiangpeng Yan, Yujiu Yang, Li Xiu)....Pages 491-503
 Multi-level Feature Extraction in Time-Weighted Graphical Session-Based Recommendation  (Mei Yu, Suiwu Li, Ruiguo Yu, Xuewei Li, Tianyi Xu, Mankun Zhao et al.)....Pages 504-515
Front Matter ....Pages 517-517
 3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting  (Grzegorz Dudek, Paweł Pełka, Slawek Smyl)....Pages 519-531
 A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features  (Tianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen)....Pages 532-543
 Benchmarking Adversarial Attacks and Defenses for Time-Series Data  (Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed)....Pages 544-554
 Correlation-Aware Change-Point Detection via Graph Neural Networks  (Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang)....Pages 555-567
 DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction  (Shajia Shan, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li)....Pages 568-578
 ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting  (Joel Janek Dabrowski, YiFan Zhang, Ashfaqur Rahman)....Pages 579-591
 Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation  (Tobias Friedrich, Martin S. Krejca, J. A. Gregor Lagodzinski, Manuel Rizzo, Arthur Zahn)....Pages 592-604
 Sensor Drift Compensation Using Robust Classification Method  (Guopei Wu, Junxiu Liu, Yuling Luo, Senhui Qiu)....Pages 605-615
 SpringNet: Transformer and Spring DTW for Time Series Forecasting  (Yang Lin, Irena Koprinska, Mashud Rana)....Pages 616-628
 U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs  (Shenglan Yang, Bijue Jia, Yao Chen, Zhan ao Huang, Xiaoming Huang, Jiancheng Lv)....Pages 629-640
Back Matter ....Pages 641-643