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.

Format:

Book

Author/Creator:

Tanveer, Mohammad, author.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13624

Language:

English

Subjects (All):

Pattern recognition systems.

Data mining.

Machine learning.

Social sciences--Data processing.

Social sciences.

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (471 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

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 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.

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.

Other Format:

Print version: Tanveer, Mohammad Neural Information Processing

ISBN:

9783031301087

OCLC:

1376445881