Tanveer / Agarwal / Ozawa Neural Information Processing

29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part II
Erscheinungsjahr 2023
ISBN: 978-3-031-30108-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 13624, 441 Seiten, eBook

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Tanveer, Mohammad

Agarwal, Sonali

Ozawa, Seiichi

Ekbal, Asif

Jatowt, Adam

Inhaltsverzeichnis

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.