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ویرایش: 1st ed. نویسندگان: Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King سری: Communications in Computer and Information Science 1333 ISBN (شابک) : 9783030638221, 9783030638238 ناشر: Springer International Publishing;Springer سال نشر: 2020 تعداد صفحات: 865 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 73 مگابایت
کلمات کلیدی مربوط به کتاب پردازش اطلاعات عصبی: بیست و هفتمین کنفرانس بین المللی، ICONIP 2020، بانکوک، تایلند، 18 تا 22 نوامبر 2020، مجموعه مقالات، قسمت پنجم: است
در صورت تبدیل فایل کتاب Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب پردازش اطلاعات عصبی: بیست و هفتمین کنفرانس بین المللی، ICONIP 2020، بانکوک، تایلند، 18 تا 22 نوامبر 2020، مجموعه مقالات، قسمت پنجم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
مجموعه دو جلدی CCIS 1332 و 1333 شامل مشارکتهای کاملاً داوری شده است که در بیست و هفتمین کنفرانس بینالمللی پردازش اطلاعات عصبی، ICONIP 2020، در بانکوک، تایلند، در نوامبر 2020 برگزار شد.*
در مجموع برای ICONIP 2020 از بین 618 مقاله ارسالی، 378 مقاله با دقت بررسی و برای انتشار انتخاب شدند. 191 مقاله موجود در این مجموعه جلد در بخش های موضوعی به شرح زیر سازماندهی شدند: داده کاوی. تجزیه و تحلیل مراقبت های بهداشتی-بهبود نتایج مراقبت های بهداشتی با استفاده از تجزیه و تحلیل داده های بزرگ؛ شناسایی فعالیت های انسانی؛ پردازش تصویر و بینایی کامپیوتری؛ پردازش زبان طبیعی؛ سیستم توصیهگر؛ سیزدهمین کارگاه بین المللی هوش مصنوعی و امنیت سایبری هوش محاسباتی؛ فراگیری ماشین؛ مدل های شبکه عصبی؛ رباتیک و کنترل؛ و تجزیه و تحلیل سری های زمانی.
* این کنفرانس به دلیل همه گیری COVID-19 به صورت مجازی برگزار شد.The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.*
For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis.
* The conference was held virtually due to the COVID-19 pandemic.Front Matter ....Pages i-xxix
Front Matter ....Pages 1-1
A Discriminative STGCN for Skeleton Oriented Action Recognition (Lin Feng, Qing Yuan, Yang Liu, Qianxin Huang, Shenglan Liu, Yingping Li)....Pages 3-10
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition (Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie)....Pages 11-20
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data (Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King)....Pages 21-29
Adaptive Ensemble Variants of Random Vector Functional Link Networks (Minghui Hu, Qiushi Shi, P. N. Suganthan, M. Tanveer)....Pages 30-37
An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction (Hao Zhou, Dongchun Ren, Huaxia Xia, Mingyu Fan, Xu Yang, Hai Huang)....Pages 38-45
An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients (Xiaotong Gu, Zehong Cao)....Pages 46-53
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification (Xianglin Zheng, Zehong Cao, Quan Bai)....Pages 54-61
Cluster Aware Deep Dictionary Learning for Single Cell Analysis (Priyadarshini Rai, Angshul Majumdar, Debarka Sengupta)....Pages 62-69
Constrained Center Loss for Image Classification (Zhanglei Shi, Hao Wang, Chi-Sing Leung, John Sum)....Pages 70-78
Deep Discriminative Embedding with Ranked Weight for Speaker Verification (Dao Zhou, Longbiao Wang, Kong Aik Lee, Meng Liu, Jianwu Dang)....Pages 79-86
Disguising Personal Identity Information in EEG Signals (Shiya Liu, Yue Yao, Chaoyue Xing, Tom Gedeon)....Pages 87-95
Fusioning Multiple Treatment Retina Images into a Single One (Irina Mocanu, Loretta Ichim, Dan Popescu)....Pages 96-103
Humidity Sensor Accuracy Improvement Based on Two Nested Kalman Filters for Commercial Cultivation of Tropical Orchids (Prachumpong Dangsakul, Nutchanon Siripool, Kraithep Sirisanwannakul, Rachaporn Keinprasit, Khongpan Rungprateeptavorn, Suthum Keerativittayanun et al.)....Pages 104-112
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting (Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan, Mukesh Prasad)....Pages 113-120
Knowledge-Experience Graph with Denoising Autoencoder for Zero-Shot Learning in Visual Cognitive Development (Xinyue Zhang, Xu Yang, Zhiyong Liu, Lu Zhang, Dongchun Ren, Mingyu Fan)....Pages 121-129
Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification (Yu Qiao, Kun Qian, Ziping Zhao)....Pages 130-138
Neural Network Including Alternative Pre-processing for Electroencephalogram by Transposed Convolution (Kenshi Machida, Isao Nambu, Yasuhiro Wada)....Pages 139-146
Neural Network Training Using a Biogeography-Based Learning Strategy (Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi)....Pages 147-155
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks (Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang)....Pages 156-163
Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation (Kanchan Jha, Sriparna Saha, Matloob Khushi)....Pages 164-171
RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents (Ashraf Haroon Rashid, Imran Razzak, M. Tanveer, Antonio Robles-Kelly)....Pages 172-179
Road Traffic Injury Prevention Using DBSCAN Algorithm (Pattanapong Chantamit-o-pas, Weerakorn Pongpum, Krisakorn Kongsaksri)....Pages 180-187
Skeleton-Based Action Recognition with Dense Spatial Temporal Graph Network (Lin Feng, Zhenning Lu, Shenglan Liu, Dong Jiang, Yang Liu, Lianyu Hu)....Pages 188-194
Supervised Learning Algorithm for Spiking Neural Networks Based on Nonlinear Synaptic Interaction (Xianghong Lin, Jiawei Geng, Qian Li)....Pages 195-203
Temporal EEG Neural Activity Predicts Visuo-Spatial Motor Sequence Learning (Raunak Swarnkar, Krishna P. Miyapuram)....Pages 204-211
The Analysis of Relationship Between SSVEP and Visual Field Using a Circle-Form Checkerboard (Tsutomu Yoshida, Akitoshi Itai)....Pages 212-219
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms (Ragav Sachdeva, Frank Neumann, Markus Wagner)....Pages 220-228
Using Applicability to Quantifying Octave Resonance in Deep Neural Networks (Edward Collier, Robert DiBiano, Supratik Mukhopadhyay)....Pages 229-237
Front Matter ....Pages 239-239
A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks (Tariq M. Khan, Antonio Robles-Kelly)....Pages 241-250
A Homogeneous-Heterogeneous Ensemble of Classifiers (Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John McCall, Alan Wee-Chung Liew et al.)....Pages 251-259
A Particle Swarm Optimization Based Joint Geometrical and Statistical Alignment Approach with Laplacian Regularization (Rakesh Kumar Sanodiya, Mrinalini Tiwari, Leehter Yao, Jimson Mathew)....Pages 260-268
Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem (Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said)....Pages 269-278
Classification of Multi-class Imbalanced Data Streams Using a Dynamic Data-Balancing Technique (Rafiq Ahmed Mohammed, Kok Wai Wong, Mohd Fairuz Shiratuddin, Xuequn Wang)....Pages 279-290
Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction (Li Zhang, Qingqing Pang, Zhiqiang Xu, Xiaohan Zheng)....Pages 291-299
Deep Convolutional Transform Learning (Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia)....Pages 300-307
Deep Denoising Subspace Single-Cell Clustering (Yijie Wang, Bo Yang)....Pages 308-315
Deep Detection for Face Manipulation (Disheng Feng, Xuequan Lu, Xufeng Lin)....Pages 316-323
DeepEquaL: Deep Learning Based Mathematical Equation to Latex Generation (Ghaith Bilbeisi, Sheraz Ahmed, Rupak Majumdar)....Pages 324-332
Design and Implementation of Pulse-Coupled Phase Oscillators on a Field-Programmable Gate Array for Reservoir Computing (Dinda Pramanta, Hakaru Tamukoh)....Pages 333-341
Element-Wise Alternating Least Squares Algorithm for Nonnegative Matrix Factorization on One-Hot Encoded Data (Zhuo Wu, Tsuyoshi Migita, Norikazu Takahashi)....Pages 342-350
Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering (Xianzhong Long, Jian Xiong, Yun Li)....Pages 351-360
Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition (Wenya Liu, Xiulin Wang, Tapani Ristaniemi, Fengyu Cong)....Pages 361-369
Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel (Harsh Raj, Suvodip Dey, Hiransh Gupta, P. K. Srijith)....Pages 370-377
Interpretability of Black Box Models Through Data-View Extraction and Shadow Model Creation (Rupam Patir, Shubham Singhal, C. Anantaram, Vikram Goyal)....Pages 378-385
Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning (Yiming Qian, Fangzhou Xiong, Zhiyong Liu)....Pages 386-394
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning (Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul)....Pages 395-402
Learning Disentangled Representations with Attentive Joint Variational Autoencoder (Wen-tao Li, Jian-wei Liu, Xiu-yan Chen, Xiong-lin Luo)....Pages 403-411
Minimum Variance Embedded Random Vector Functional Link Network (M. A. Ganaie, M. Tanveer, P. N. Suganthan)....Pages 412-419
Non-norm-bounded Attack for Generating Adversarial Examples (Ming Zhang, Hu Li, Xiaohui Kuang, Yuanping Nie, Cheng Qian, Zhendong Wu et al.)....Pages 420-428
Sparse Asynchronous Distributed Learning (Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini)....Pages 429-438
Stable Training of Bellman Error in Reinforcement Learning (Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji)....Pages 439-448
Supervised Level-Wise Pretraining for Sequential Data Classification (Dino Ienco, Roberto Interdonato, Raffaele Gaetano)....Pages 449-457
Toward an Ensemble of Object Detectors (Truong Dang, Tien Thanh Nguyen, John McCall)....Pages 458-467
Transfer Learning for Semi-supervised Classification of Non-stationary Data Streams (Yimin Wen, Qi Zhou, Yun Xue, Chao Feng)....Pages 468-477
Front Matter ....Pages 479-479
A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks (Rong Xiao, Tianyu Geng)....Pages 481-489
A Term and Phase Invariant Neural Network for Fault Signal Diagnosis (Yong Zhou, Haoyu Li, Li Lin)....Pages 490-497
Adaptive Skewness Kurtosis Neural Network : Enabling Communication Between Neural Nodes Within a Layer (Yifeng Wang, Yang Wang, Guiming Hu, Yuying Liu, Yi Zhao)....Pages 498-507
Channel Pruning via Optimal Thresholding (Yun Ye, Ganmei You, Jong-Kae Fwu, Xia Zhu, Qing Yang, Yuan Zhu)....Pages 508-516
Concatenated Tensor Networks for Deep Multi-Task Learning (Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu)....Pages 517-525
Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures (Noémie Gonnier, Yann Boniface, Hervé Frezza-Buet)....Pages 526-534
Continuous Boundary Approximation from Data Samples Using Bidirectional Hypersphere Transformation Networks (Prayook Jatesiktat, Guan Ming Lim, Wei Tech Ang)....Pages 535-544
Convergence of Mini-Batch Learning for Fault Aware RBF Networks (Ersi Cha, Chi-Sing Leung, Eric Wong)....Pages 545-553
Convolutional Neural Network Architecture with Exact Solution (Toshi Sinha, Brijesh Verma)....Pages 554-562
Deep Learning for Classification of Cricket Umpire Postures (WJ Samaraweera, SC Premaratne, AT Dharmaratne)....Pages 563-570
Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers (Sahithi Tummalapalli, Lov kumar, N. L. Bhanu Murthy, Aneesh Krishna)....Pages 571-579
Fractional Backpropagation Algorithm – Convergence for the Fluent Shapes of the Neuron Transfer Function (Zbigniew Gomolka)....Pages 580-588
FTR-NAS: Fault-Tolerant Recurrent Neural Architecture Search (Kai Hu, Dong Ding, Shuo Tian, Rui Gong, Li Luo, Lei Wang)....Pages 589-597
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It (Grzegorz Dudek)....Pages 598-606
Image Captioning Algorithm Based on Sufficient Visual Information and Text Information (Yongqiang Zhao, Yuan Rao, Lianwei Wu, Cong Feng)....Pages 607-615
Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures (Abhijit Mahalunkar, John D. Kelleher)....Pages 616-624
RCNN for Region of Interest Detection in Whole Slide Images (Anupiya Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne et al.)....Pages 625-632
Real-Time Probabilistic Approach for Traffic Prediction on IoT Data Streams (Sanket Mishra, Raghunathan Balan, Ankit Shibu, Chittaranjan Hota)....Pages 633-641
Search-and-Train: Two-Stage Model Compression and Acceleration (Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou)....Pages 642-649
Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs (Haowen Xu, Wenxiao Chen, Jinlin Lai, Zhihan Li, Youjian Zhao, Dan Pei)....Pages 650-659
Software Defect Prediction with Spiking Neural Networks (Xianghong Lin, Jie Yang, Zhiqiang Li)....Pages 660-667
Spatial Graph Convolutional Networks (Tomasz Danel, Przemysław Spurek, Jacek Tabor, Marek Śmieja, Łukasz Struski, Agnieszka Słowik et al.)....Pages 668-675
STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse (Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian)....Pages 676-684
Variable-Depth Convolutional Neural Network for Text Classification (Ka-Hou Chan, Sio-Kei Im, Wei Ke)....Pages 685-692
Front Matter ....Pages 693-693
Adaptive Neural Control for Efficient Rhythmic Movement Generation and Online Frequency Adaptation of a Compliant Robot Arm (Florentijn Degroote, Mathias Thor, Jevgeni Ignasov, Jørgen Christian Larsen, Emilia Motoasca, Poramate Manoonpong)....Pages 695-703
An Ensemble Learning Approach to Improve Tracking Accuracy of Multi Sensor Fusion (Anoop Karnik Dasika, Praveen Paruchuri)....Pages 704-712
Composition and Analysis of Pareto Optimal Compromise Solutions for Multiobjective Robust Controller Using GPC and CAN2s (Hironobu Nakayama, Ko Ogi, Kazuya Matsuo, Shuichi Kurogi)....Pages 713-722
Part-Boundary-Aware Networks for Surgical Instrument Parsing (Jiaqi Liu, Yu Qiao, Jie Yang, Yun Gu)....Pages 723-730
Front Matter ....Pages 731-731
A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream (Xiufeng Liu, Zhichen Lai, Xin Wang, Lizhen Huang, Per Sieverts Nielsen)....Pages 733-742
A New Time Series Forecasting Using Decomposition Method with SARIMAX Model (Chalermrat Nontapa, Chainarong Kesamoon, Nicha Kaewhawong, Peerasak Intrapaiboon)....Pages 743-751
Adversarial Attacks on Deep Learning Systems for User Identification Based on Motion Sensors (Cezara Benegui, Radu Tudor Ionescu)....Pages 752-761
An LSTM Based Deep Learning Method for Airline Ticket Price Prediction (Ke Du, Jiaxing Yan, Zhou Hang, Zhihao Chen, Lulu Wu)....Pages 762-769
Attention-Based Multi-component LSTM for Internet Traffic Prediction (Qian Xu, Zhenjie Yao, Yanhui Tu, Yixin Chen)....Pages 770-777
Entropy of LOO Predictable Horizons to Select a Learning Machine and a Representative Prediction of Chaotic Time Series (Daichi Miyazaki, Kazuya Matsuo, Shuichi Kurogi)....Pages 778-787
Improving the Stability of a Convolutional Neural Network Time-Series Classifier Using SeLU and Tanh (Melanie Renkin, Jessica Sharmin Rahman)....Pages 788-795
Proposing Two Different Feature Extraction Methods from Multi-fractal Detrended Fluctuation Analysis of Electroencephalography Signals: A Case Study on Attention-Deficit Hyperactivity Disorder (Zahra Roozbehi, Mahsa Mohaghegh, Hossein Lanjanian, Peyman Hassani Abharian)....Pages 796-803
Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System (Yinuo Wang, Yu Guo, Fei Wang)....Pages 804-812
Time and Incentive-Aware Neural Networks for Life Insurance Premium Prediction (Xinrui Li, Liang Zhao, Xi Yin, Yinxin Zhu, Jianping Shen, Wei Tong)....Pages 813-821
To Augment or Not to Augment? Data Augmentation in User Identification Based on Motion Sensors (Cezara Benegui, Radu Tudor Ionescu)....Pages 822-831
Unsupervised Visual Time-Series Representation Learning and Clustering (Gaurangi Anand, Richi Nayak)....Pages 832-840
Back Matter ....Pages 841-844