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Neural Information Processing : 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part II / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
(Lecture Notes in Computer Science. ISSN:16113349 ; 13624)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2023
大きさ	XXXIV, 441 p. 180 illus., 155 illus. in color : online resource
著者標目	Tanveer, Mohammad editor Agarwal, Sonali editor Ozawa, Seiichi editor Ekbal, Asif editor Jatowt, Adam editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002616	Computer Scinece R0 2005-6,2022-3				9783031301087

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一般注記	Cognitive Neurosciences -- Differences in Brain Activation during Physics Problem Solving across Students with Various Learning Progression: Electrophysiological Evidence based on Detrended Fluctuation analysis -- A dynamic, economical, and robust coding scheme in the lateral prefrontal neurons of monkeys -- Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients -- Lagrange Programming Neural Networks for Sparse Portfolio Design -- An Adaptive Convolution Auto-encoder based on Spiking Neurons -- Schizophrenia detection based on EEG using Recurrent Auto-Encoder framework -- Functional Roles of Amygdala and Orbitofrontal Cortex in Adaptive Behavior -- A Multiclass EEG Signal Classification Model using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition -- MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement -- Learning Associative Reasoning Towards Systematicity using Modular Networks -- Identifying dominant emotion in positive and negative groups of Navrasa using functional brain connectivity patterns -- A Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint -- Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker -- A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in terms of BOLD signal -- Explainable Causal Analysis of Mental Health on Social Media Data -- Brain-inspired attention model for object counting -- Human Centered Computing -- Emotion Detection from Viariable Conversation Context -- Multi-relation Word Pair Tag Space for Joint Entity and Relation Extraction -- Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network -- Bring Ancient Murals Back to Life -- Multi-Modal Rumor detection via Knowledge-aware Heterogeneous Graph Convolutional Networks -- DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing -- AMRE: An Attention-based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset -- High-Accuracy and Energy-Efficient Action Recognition with Deep Spiking Neural Network -- Sequence Recommendation Based on Interactive Graph Attention Network -- Imbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-Agent Games -- Model-based Reinforcement Learning with Self-Attention Mechanism for Autonomous Driving in Dense Traffic -- CLCDR: Contrastive Learning for Cross-Domain Recommendation to Cold-Start Users -- Medical Visual Question Answering via Targeted Choice Contrast and Multimodal Entity Matching -- Boosting Star-GANs for Voice Conversion with Contrastive Discriminator -- Next POI Recommendation with Neighbor and Location Popularity -- Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models -- Enhance Gesture Recognition Via Visual-Audio Modal Embedding -- Learning from Fourier: Leveraging Frequency Transformation for Emotion Recognition -- Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games -- FastThaiCaps: A Transformer based Capsule Network for Hate Speech Detection in Thai Language The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements HTTP:URL=https://doi.org/10.1007/978-3-031-30108-7
件　名	LCSH:Pattern recognition systems LCSH:Data mining LCSH:Machine learning LCSH:Social sciences—Data processing FREE:Automated Pattern Recognition FREE:Data Mining and Knowledge Discovery FREE:Machine Learning FREE:Computer Application in Social and Behavioral Sciences
分　類	LCC:Q337.5 LCC:TK7882.P3 DC23:006.4
書誌ID	EB00002004
ISBN	9783031301087