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Behavioural and Social Computing : 12th International Conference, BESC 2025, Hong Kong SAR, China, October 16-18, 2025, Proceedings, Part II.
Springer Nature - Springer Computer Science eBooks 2026 English InternationalAvailable online
View online- Format:
- Book
- Author/Creator:
- Hao, Tianyong.
- Series:
- Lecture Notes in Computer Science Series
- Lecture Notes in Computer Science Series ; v.16432
- Language:
- English
- Physical Description:
- 1 online resource (751 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Singapore : Springer, 2026.
- Summary:
- This three-volume set LNCS 16431-16433 constitutes the refereed proceedings of the 12th International Conference on Behavioural and Social Computing, BESC 2025 held in Hong Kong SAR, China, during October 16-18, 2025.The 18 full papers and 5 short papers presented in this volumes were carefully reviewed and selected from 149 submissions.
- Contents:
- Lecture Notes in Computer Science
- Behavioural and Social Computing
- Preface
- Organization
- Contents
- MyEcoPal: Bridging the Gap Between Sustainability Understanding and Sustainable Actions
- Uncovering the Nexus Between Attitudes Toward LLMs and Problematic Dependency on Them: A Latent Profile Analysis
- The Effectiveness of Balanced Product Explanations for Decision Support in Online Shopping
- How Warnings of Product Drawbacks Affect Online Shopping Decisions
- Temporal Inference of Psychosocial States from Digital Biomarkers for Just-in-Time Adaptive Interventions
- Exploring Global Patterns of Social Media Disorder: The Role of Sociodemographic Factors
- Research and Application of AI Decision System for Perioperative Period Based on Smart IoT and WIRE Database
- Real-Time Multimodal Hazard Detection for Assistive Wheelchair Navigation
- Density Harmonized Gradient Descent Online Active Learning for Imbalanced Data Streams
- Early Detection of Multimodal Hot-Topic Misinformation in User-Generated Content
- Prompt-Based Zero-Shot Learning in Large Language Models for Recommender Systems: A Reproducibility Study
- MacCDR: A Memory-Augmented Cluster-Level Preference Mapping Framework for Cross-Domain Cold-Start Recommendation
- PFRCRP: Parameter-Factorized Personalized Federated Recommendation for Cross-Domain Rating Predictions
- Enhancing the Training Process with Multi Metrics for Session-Based Recommendations
- Interpretable Recommendation via Semantic and Syntactic Knowledge Enhanced Aspect-Based Sentiment Analysis
- Large-Scale Weakly Supervised Person Re-ID: Towards Generalizable and Scalable Solutions
- ExamEaseVR: An Immersive Virtual Reality Exposure System for Alleviating Test Anxiety
- An Exploration of ChatGPT in Personalized Learning: Behavioral Flow Analysis of Graduate Student Interactions.
- Design and Implementation of an AI Agent-Based Collaborative Platform for Software Engineering Education
- Designing an Interactive Al-Supported Learning System for Mathematics Education in Primary Schools
- Theory-Informed vs. Example-Driven Prompting for LLM-Based Qualitative Data Coding in Educational Research
- DFST-Net: Dual-Frequency Spatiotemporal Graph Neural Network for Traffic Forecasting
- Analysis of Tongue Image Data Augmentation and Classification Methods Based on Multi-attribute Features
- Discovering Brain Functional Connectivity in Parkinson's Disease from Graph Mining Perspectives
- Machine Learning-Ready Genomic Biomarkers: ATF3 Polymorphisms Predict Postoperative Analgesic Demand Through AI-Compatible Phenotyping
- Dual-Level Contrastive Learning for Patient Condition Representation with Multimodal Electronic Health Records
- Text-Enhanced Panoptic Symbol Spotting in CAD Drawings
- Ensemble Transformer-Based Multiple Instance Learning for Predicting Neoadjuvant Chemotherapy Response from Breast Cancer Biopsy Whole-Slide Images
- DCKG: A Dual-View Collaborative Knowledge Graph for Pull Request Recommendation
- Optimized Feature Extraction and Alignment for Cross-Modal Molecule Retrieval
- MolJury: A Role-Driven Multi-agent Architecture for Factual Molecular Understanding
- EquiMapLE: High-Fidelity and High-Throughput Molecular Analogue Screening with Equivariant Fingerprints and Learned Fusion
- KGsteeredDTI: Drug-Target Interaction Prediction via Knowledge Graphs-Steering
- Author Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9789819571413
- OCLC:
- 1584467469
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