Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part IX / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li.

Format:

Book

Contributor:

Luo, Biao, editor.

Series:

Communications in Computer and Information Science, 1865-0937 ; 1963

Language:

English

Subjects (All):

Pattern recognition systems.

Computer science.

Data mining.

Data structures (Computer science).

Information theory.

Automated Pattern Recognition.

Theory and Algorithms for Application Domains.

Data Mining and Knowledge Discovery.

Data Structures and Information Theory.

Local Subjects:

Automated Pattern Recognition.

Theory and Algorithms for Application Domains.

Data Mining and Knowledge Discovery.

Data Structures and Information Theory.

Physical Description:

1 online resource (589 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. 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:

Theory and Algorithms

elf-Adaptive Inverse Soft-Q Learning for Imitation

Membership Inference Attack against Medical Databases

Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles

Bloomfilter-based Practical Kernelization Algorithm for Minimum Satisfiability

TPTGAN: Two-Path Transformer-Based Generative Adversarial Network Using Joint Magnitude Masking and Complex Spectral Mapping for Speech Enhancement

Sample Selection based on Uncertainty for Combating Label Noise

Design of a Multimodal Short Video Classification Model

DGNN: Dependency Graph Neural Network for Multimodal Emotion Recognition in Conversation

Global Exponential Synchronization of Quaternion-Valued Neural Networks via Quantized Control

Improving SLDS Performance using Explixit Duration Variables with Infinite Support

Policy Representation Opponent Shaping via Contrastive Learning

FHSI-GNN: Fusion Hierarchical Structure Information Graph Neural Network for Extractive Long Documents Summarization

How to support sport management with decision systems? Swimming athletes assessment study case

Differential Private (Random) Decision Tree without Adding Noise

Cognitive Neurosciences

Pushing the Boundaries of Chinese Painting Classification on Limited Datasets: Introducing a Novel Transformer Architecture with Enhanced Feature Extraction

Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning

Quantized SGD in Federated Learning: Communication, Optimization and Generalization

Many Is Better than One: Multiple Covariation Learning for Latent Multiview Representation

Explainable Sparse Associative Self-Optimizing Neural Networks for Classification

Efficient Attention for Domain Generalization

Adaptive Accelerated Gradient Algorithm for Training Fully Complex-Valued DendriticNeuron Model

Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems

A Novel Framework for Forecasting Mental Stress Levels based on Physiological Signals

Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI

Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels

Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation

MTSAN-MI: Multiscale Temporal-Spatial Convolutional Self-Attention Network for Motor Imagery Classification

How do native and non-native listeners differ? Investigation with dominant frequency bands in auditory evoked potential

A Stealth Security Hardening Method Based on SSD Firmware Function Extension

Attention-Based Deep Convolutional Network for Speech Recognition under Multi-scene Noise Environment

Discourse-Aware Causal Emotion Entailment

DAformer: Transformer with Domain Adversarial Adaptation for EEG-based Emotion Recognition with Live-Oil Paintings

Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition

Asymptotic spatio-temporal averaging of the power of EEG signals for schizophrenia diagnostics

Human Centred Computing

Non-Contact Respiratory Flow Extraction from Infrared Images Using Balanced Data Classification

The Construction of DNA Coding Sets by An Intelligent Optimization Algorithm: TMOL-TSO

Heterogeneous Graph Fusion with Adversarial Learning for Recommendation Service

SSVEP Data Augmentation based on Filter Band Masking and Random Phase Erasing

ONEI: Unveiling Route and Phase of Breathing from Snoring Sounds

MVCAL: Multi View Clustering for Active Learning

Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-Subject FMRI Data: Application to Schizophrenia

Modeling Both Collaborative and Temporal Information for Sequential Recommendation

Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios

Learning Dense UV Completion for 3D Human Mesh Recovery.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Luo, Biao Neural Information Processing

ISBN:

981-9981-38-7