Produktbild: Behavioural and Social Computing
Band 16432 - 10%

Behavioural and Social Computing 12th International Conference, BESC 2025, Hong Kong SAR, China, October 16–18, 2025, Proceedings, Part II

10% sparen

123,99 € UVP 139,09 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.05.2026

Abbildungen

XVI, 197 illus., 179 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Tianyong Hao + weitere

Verlag

Springer Singapore

Seitenzahl

512

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

791 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9571-40-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.05.2026

Abbildungen

XVI, 197 illus., 179 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

512

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

791 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9571-40-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: 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.