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

Ein neues Kapitel für Ihre Bücher

Ein neues Kapitel für Ihre Bücher

Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten dafür eine Thalia Geschenkkarte.

Jetzt verkaufen
Jetzt verkaufen

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.