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.

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• Ciência da Computação
• Pesquisa e estatística social
• Tecnologia da informação: aspectos gerais

Artificial Intelligence;Social Behaviour Computing;AI in Interdisciplinary Study;AI in Education;Social Network Analysis;Machine Learning;Large Language Models;Generative AI;Human Behaviour Modelling;Computational Social Science