Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XV / 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 ; 1969

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 (531 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

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation

RF-Based Drone Detection and Identification with Deep Neural Network: Review and Case Study

Effective skill learning on vascular robotic systems: Combining offline and online reinforcement learning

Exploring Efficient-Tuned Learning Audio Representation Method from BriVL

Can You Really Reason: A Novel Framework for Assessing Natural Language Reasoning Datasets and Models

End-to-End Urban Autonomous Navigation with Decision Hindsight

Identifying Self-Admitted Technical Debt with Context-based Ladder Network

NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction

Customized Anchors Can Better Fit the Target in Siamese Tracking

Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases

Progressive Supervision for Tampering Localization in Document Images

Multi-granularity Deep Vulnerability Detection using Graph Neural Networks

Rumor Detection with Supervised Graph Contrastive Regularization

A Meta Learning-based Training Algorithm for Robust Dialogue Generation

Effects of Brightness and Class-unbalanced Dataset on CNN Model Selection and Image Classification considering Autonomous Driving

HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai

Pre-trained Financial Model for Price Movement Forecasting

Impulsion of Movie’s Content-Based Factors in Multi-Modal Movie Recommendation System

Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention

Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction

BERT-LBIA: A BERT-Based Late Bidirectional Interaction Attention Model for Legal Case Retrieval

Learning Discriminative Semantic and Multi-View Context for Domain Adaptive Few-shot Relation Extraction

ML2FNet: A Simple but Effective Multi-Level Feature Fusion Network for Document-Level Relation Extraction

Implicit Clothed Human Reconstruction Based on Self-attention and SDF

Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data

An Attack Entity Deducing Model for Attack Forensics

Semi-supervised classification on data streams with recurring concept drift based on conformal prediction

Zero-shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation

Parallelizable Simple Recurrent Units with Hierarchical Memory

Enhancing Legal Judgment Prediction with Attentional Networks Utilizing Legal Event Types

MOOCs Dropout Prediction via Classmates Augmented Time-Flow Hybrid Network

Multiclass Classification and Defect Detection of Steel tube using modified YOLO

GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction

TEZARNet : TEmporal Zero-shot Activity Recognition Network

Tigrinya OCR: Applying CRNN for Text Recognition

Generating Pseudo-Labels for Car Damage Segmentation using Deep Spectral Method

Two-Stage Graph Convolutional Networks for Relation Extraction

Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network. .

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Luo, Biao Neural Information Processing

ISBN:

981-9981-84-0