Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XIII / 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 ; 1967

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 (628 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:

Applications

Improve Conversational Search with Multi-Document Information

Recurrent Update Representation Based on Multi-Head Attention Mechanism for Joint Entity and Relation Extraction

p Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs

MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection

A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application

Decoupling Style from Contents for Positive Text Reframing

Multi-level Feature Enhancement Method For Medical Text Detection

Neuron Attribution-Based Attacks Fooling Object Detectors

DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method based on Graph Attention Networks

A Joint Identification Network for Legal Event Detection

YOLO-D: Dual-branch infrared distant target detection based on multi-levelweighted feature fusion

Graph Convolutional Network based Feature Constraints Learning for Cross-Domain Adaptive Recommendation

A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition

Incomplete Multi-view Subspace Clustering Using Non-Uniform Hyper-Graph for High-Order Information

Deep Learning-Empowered Unsupervised Maritime Anomaly Detection

Hazardous Driving Scenario Identification with Limited Training Samples

Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification

An Interpretable Vulnerability Detection Method Based on Multi-task Learning

Co-GAN:A Text-to-Image Synthesis Model with Local and Integral Features

Graph Contrastive ATtention Network for Rumor Detection

E3-MG:End-to-End Expert Linking via Multi-Granularity Representation Learning

TransCenter: Transformer in Heatmap and A New Form of Bounding Box

Causal-Inspired Influence Maximization in Hypergraphs Under Temporal Constraints

Enhanced Generation of Human Mobility Trajectory with Multiscale Model

SRLI:Handling Irregular Time Series with a Novel Self-supervised Model based on Contrastive Learning

Multimodal Event Classification in Social Media

ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving

Uformer++: Light Uformer for Image Restoration

Can language really understand depth?

Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft based on Variational Autoencoder

Dynamic Feature Distillation

Detection of Anomalies and Explanation in Cybersecurity

Document-Level Relation Extraction with Relation Correlation Enhancement

Multi-scale Directed Graph Convolution Neural Network for Node Classification Task

Dual Knowledge Distillation for Neural Machine Translation

Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting

Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery

FEGI: A Fusion Extractive-Generative Model for Dialogue Ellipsis and Coreference Integrated Resolution

Assessing and Enhancing LLMs: A Physics and History Dataset and One-More-Check Pipeline Method

Sub-Instruction and Local Map Relationship Enhanced Model for Vision and Language Navigation

TFormer: Cross-Level Feature Fusion in Object Detection

Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network

Dual-Domain Learning For JPEG Artifacts Removal

Graph-based Vehicle Keypoint Attention Model for Vehicle Re-identification

POI Recommendation based on Double-level Spatio-temporal Relationship in Locations and Categories

Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Luo, Biao Neural Information Processing

ISBN:

981-9981-78-6