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ORCID27th ICONIP 2020: Bangkok, Thailand - Part III
- 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 III. Lecture Notes in Computer Science 12534, Springer 2020, ISBN 978-3-030-63835-1
Biomedical Information
- Adhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole:
Classification of Neuroblastoma Histopathological Images Using Machine Learning. 3-14 - Matloob Khushi, Usman Naseem, Jonathan Du, Anis Khan, Simon K. Poon:
Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer. 15-25 - Usman Naseem, Matloob Khushi, Shah Khalid Khan, Nazar Waheed, Adnan Mir, Atika Qazi, Bandar Alshammari, Simon K. Poon:
Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss. 26-37 - Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength. 38-48 - Philip Mehrgardt, Matloob Khushi, Anusha I. Withana, Simon K. Poon:
Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography. 49-62 - Keqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong:
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction. 63-75
Neural Data Analysis
- Nida Itrat Abbasi, Sony Saint-Auret, Junji Hamano, Anumita Chaudhury, Anastasios Bezerianos, Nitish V. Thakor, Andrei Dragomir:
Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli. 79-89 - Yuki Kokai, Isao Nambu, Yasuhiro Wada:
Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution. 90-97 - Zhen Zhang, Junhai Xu, Luqi Cheng, Cheng Chen, Lingzhong Fan:
Inter and Intra Individual Variations of Cortical Functional Boundaries Depending on Brain States. 98-109 - Xingliang Xiong, Xuesong Lu, Lingyun Gu, Hongfang Han, Zhongxian Hong, Haixian Wang:
Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals. 110-121 - Hongfang Han, Xingliang Xiong, Jianfeng Yan, Haixian Wang, Mengting Wei:
The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods. 122-134 - Anna Wróblewska, Sylwia Sysko-Romanczuk, Karol Prusinowski:
Transfer Dataset in Image Segmentation Use Case. 135-146
Neural Network Models
- Xiaoyu Wang, Lucian Gheorghe, Jun-ichi Imura:
A Gaussian Process-Based Incremental Neural Network for Online Regression. 149-161 - Wenhao Lu, Chi-Sing Leung, John Sum:
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function. 162-171 - Yang Liu, Zhenyue Qin, Saeed Anwar, Sabrina B. Caldwell, Tom Gedeon:
Are Deep Neural Architectures Losing Information? Invertibility is Indispensable. 172-184 - Veena Dodballapur, Rajanish Calisa, Yang Song, Weidong Cai:
Automatic Dropout for Deep Neural Networks. 185-196 - Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition. 197-207 - Shiming Song, Chenxiang Ma, Qiang Yu:
Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding. 208-219 - Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski:
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. 220-231 - Sorin Liviu Jurj, Flavius Opritoiu, Mircea Vladutiu:
Environmentally-Friendly Metrics for Evaluating the Performance of Deep Learning Models and Systems. 232-244 - Abdul Qayyum, Imran Razzak, Wajid Mumtaz:
Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals. 245-257 - Marek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mário A. T. Figueiredo:
Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. 258-269 - Petra Vidnerová, Roman Neruda:
Multi-objective Evolution for Deep Neural Network Architecture Search. 270-281 - Loïc Pauletto, Massih-Reza Amini, Rohit Babbar, Nicolas Winckler:
Neural Architecture Search for Extreme Multi-label Text Classification. 282-293 - Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA Based on Cramer-Wold Metric. 294-305 - Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal:
Oblique Random Forests on Residual Network Features. 306-317 - Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
P2ExNet: Patch-Based Prototype Explanation Network. 318-330 - Xudong Guo:
Prediction of Taxi Demand Based on CNN-BiLSTM-Attention Neural Network. 331-342 - Madeline Brewer, Jessica Sharmin Rahman:
Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition. 343-352 - Regina Esi Turkson, Hong Qu, Yuchen Wang, Moses J. Eghan:
Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding. 353-365 - Wenxiao Chen, Wenda Liu, Zhenting Cai, Haowen Xu, Dan Pei:
VAEPP: Variational Autoencoder with a Pull-Back Prior. 366-379 - Oyebade K. Oyedotun, Djamila Aouada:
Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work? 380-392
Recommender Systems
- Chen Wang, Shilu Lin, Zhicong Zhong, Yipeng Zhou, Di Wu:
AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data. 395-406 - Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming:
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. 407-419 - Jun Zeng, Haoran Tang, Junhao Wen:
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. 420-431 - Lang Luo, Yufei Chen, Xianhui Liu, Qiujun Deng:
Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate Prediction. 432-443 - Mei Yu, Chengchang Zhen, Ruiguo Yu, Xuewei Li, Tianyi Xu, Mankun Zhao, Hongwei Liu, Jian Yu, Xuyuan Dong:
GFEN: Graph Feature Extract Network for Click-Through Rate Prediction. 444-454 - Runsheng Wang, Min Gao, Junwei Zhang, Quanwu Zhao:
JUST-BPR: Identify Implicit Friends with Jump and Stay for Social Recommendation. 455-466 - Jiong Wang, Yingshuai Kou, Yifei Zhang, Neng Gao, Chenyang Tu:
Leveraging Knowledge Context Information to Enhance Personalized Recommendation. 467-478 - Ziyi Wang, Wendong Xiao, Yu Li, Zulong Chen, Zhi Jiang:
LHRM: A LBS Based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform. 479-490 - Lingxiao Zhang, Jiangpeng Yan, Yujiu Yang, Li Xiu:
Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching Task. 491-503 - Mei Yu, Suiwu Li, Ruiguo Yu, Xuewei Li, Tianyi Xu, Mankun Zhao, Hongwei Liu, Jian Yu:
Multi-level Feature Extraction in Time-Weighted Graphical Session-Based Recommendation. 504-515
Time Series Analysis
- Grzegorz Dudek, Pawel Pelka, Slawek Smyl:
3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. 519-531 - Tianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen:
A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features. 532-543 - Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Benchmarking Adversarial Attacks and Defenses for Time-Series Data. 544-554 - Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Correlation-Aware Change-Point Detection via Graph Neural Networks. 555-567 - Shajia Shan, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li:
DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. 568-578 - Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman:
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. 579-591 - Tobias Friedrich, Martin S. Krejca, J. A. Gregor Lagodzinski, Manuel Rizzo, Arthur Zahn:
Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation. 592-604 - Guopei Wu, Junxiu Liu, Yuling Luo, Senhui Qiu:
Sensor Drift Compensation Using Robust Classification Method. 605-615 - Yang Lin, Irena Koprinska, Mashud Rana:
SpringNet: Transformer and Spring DTW for Time Series Forecasting. 616-628 - Shenglan Yang, Bijue Jia, Yao Chen, Zhan ao Huang, Xiaoming Huang, Jiancheng Lv:
U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs. 629-640
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