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Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part II de Mohammad Tanveer

Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part II: Lecture Notes in Computer Science, cartea 13624

Editat de Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
en Limba Engleză Paperback – 13 apr 2023
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.


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Specificații

ISBN-13: 9783031301070
ISBN-10: 3031301072
Pagini: 441
Ilustrații: XXXIV, 441 p. 180 illus., 155 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.