| Description |
1 online resource (426 pages) : illustrations (black and white) |
| Series |
Lecture notes in computer science ; 13624 |
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Lecture notes in computer science ; 13624.
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| Contents |
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 |
| Summary |
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 2226, 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 |
| Notes |
Includes author index |
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Description based on online resource; title from digital title page (viewed on June 06, 2023) |
| Subject |
Neural computers -- Congresses
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Neural networks (Computer science) -- Congresses
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Neural computers
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Neural networks (Computer science)
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Tanveer, Mohammad, editor
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Agarwal, Sonali, editor.
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Ozawa, Seiichi, editor.
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Ekbal, Asif, 1977- editor.
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Jatowt, Adam, editor.
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| ISBN |
9783031301087 |
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3031301080 |
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