Behavioural and Social Computing

.- 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.

• Erscheinungsdatum: 20.05.2026
• Autor/Autorin: Tianyong Hao
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 63.6 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 512 Seiten
• ISBN: 9789819571413
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.