Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VIII / 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 ; 1962

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 (638 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

Multi-model smart contract vulnerability detection based on BiGRU

Time-warp-invariant Processing with Multi-spike Learning

ECOST: Enhanced CoST Framework for Fast and Accurate Time Series Forecasting

Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience

LCformer Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting

Fashion Trend Forecasting Based on Multivariate Attention Fusion

On Searching for Minimal Integer Representation of Undirected Graphs

Multi-Scale Multi-Step Dependency Graph Neural Network for Multivariate Time Series Forecasting

Q-Learning Based Adaptive Scheduling Method For Hospital Outpatient Clinics

Temporal Task Graph based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games

A Distributed kWTA for Decentralized Auctions

Leveraging Hierarchical Similarities for Contrastive Clustering

Reinforcement Learning-Based Consensus-Reaching in Large-Scale Social Networks

Lateral Interactions Spiking Actor Network for Reinforcement Learning

An Improved YOLOv5s for Glass Tube Defect Detection

Label Selection Approach to Learning from Crowds

New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control

Image Blending Algorithm with Automatic Mask Generation

Design of Memristor-based Binarized Multi-layer Neural Network with High Robustness

FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting

On the use of persistent homology to control the generalization capacity of a neural network

Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations

Explainable Offensive Language Classifier

Infrared Target Recognition Technology Based On Small Sample Learning

An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning

Event-Triggered Constrained $H_\infty$ Control Using Concurrent Learning and ADP

Three-dimensional rotation knowledge representation learning based on graph context

TextBFA: Arbitrary Shape Text Detection with Bidirectional Feature Aggregation

Bias Reduced Methods to Q-learning

A neural network architecture for accurate 4D vehicle pose estimation from monocular images with uncertainty assesment

PSO-enabled Federated Learning for Detecting Ships in Supply Chain Management

Federated Learning using the Particle Swarm Optimization model for the Early Detection of COVID-19

Domain Generalization via Implicit Domain Augmentation

Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: LocalSubspace Minority Collapse

Mutually Guided Dendritic Neural Models

Social-CVAE: Pedestrian Trajectory Prediction using Conditional Variational Auto-Encoder

Distributed Training of Deep Neural Networks: Convergence and Case Study

Chinese Medical Intent Recognition Based on Multi-feature Fusion

Multi-Mobile Object Motion Coordination with Reinforcement Learning

Comparative Analysis of the Linear Regions in ReLU and LeakyReLU Networks

Heterogeneous Graph Prototypical Networks for Few-shot Node Classification

Improving Deep Learning Powered Auction Design

Link Prediction with Simple Path-Aware Graph Neural Networks

Restore Translation Using Equivariant Neural Networks

SDPSAT: Syntactic Dependency Parsing Structure-guided Semi-Autoregressive Machine Translation

.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Luo, Biao Neural Information Processing

ISBN:

981-9981-32-8