Machine Learning and Soft Computing: 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24–26, 2025, Revised Selected Papers, Part I

Author:   Letian Huang
Publisher:   Springer Nature Switzerland AG
Volume:   2487
ISBN:  

9789819663996


Pages:   365
Publication Date:   24 May 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning and Soft Computing: 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24–26, 2025, Revised Selected Papers, Part I


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Author:   Letian Huang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Volume:   2487
ISBN:  

9789819663996


ISBN 10:   9819663997
Pages:   365
Publication Date:   24 May 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- Multimodal Data Analysis and Model Optimization. .- Utilizing Demographic Data and Insurance Claims History to Develop Machine Learning for Assessing Cardiovascular Disease Risk. .- Comprehensive Framework for Artificial Intelligence and Big Data Integration in Higher Education. .- Data Envelopment Analysis on Response Surface Method for Efficient Parameterization of Evolutionary Algorithms in Industrial Applications. .- Feature Niching based Differential Evolution for Feature Selection on High-Dimensional Data. .- Evaluating the Performance of Open-Source LLMs in Local RAG Systems: A Practical Study on Low-Carbon Data Applications. .- Data Selection for Close-Domain Data in Medical Continual Pretraining: A Case Study on Data Selection via Importance Resampling (DSIR). .- Improving Domain-Specific Data Question Answering with Deep and Cross-Lingual Transfer Learning. .- Leveraging Co-occurrence Graphs and NLP for Enhanced Job-Skill Matching. .- Risk Estimation with Active Labeling. .- Basic Theories of Machine Learning and Emerging Application Technologies. .- Using Machine Learning Techniques to Discriminate Good and Poor Sleepers in Virtual Reality Environment. .- San Jose Urban Forest - An Open-Source Tree Canopy Surveying and Assessment Tool. .- Towards A Machine Learning-Based Approach To Predicting Stock Price Volatility and Its Associated Risk in Egypt. .- Lift And Shift Of Model Code Using Machine Learning Microservices With Generative AI Mapping Layer In Enterprise SaaS Applications. .- Machine Learning-Driven Extended Creativity for Reshaping Traditional Artistic Pieces. .- Towards AI/ML-powered Hybrid Project Management Strategy for the Healthcare Sector. .- Enhancing Textual Deception Detection: A Fused Handcrafted Feature Approach with Machine Learning Models. .- Machine Learning Models for Validating the Self-Declaration Conformity Assessment: Risk Evaluation. .- Enterprise Credit Rating Framework Based on RCGNN. .- Intelligent Recommendation System Design and Privacy Security. .- Emotionally Unbiased Reinforcement Learning for Equilibrium-Seeking in Conflict-Driven Multi-Agent Systems. .- Diversified Conversational Recommendation System. .- Rule Extraction with Reject Option. .- Poisoning Attacks Against Security-Aware Federated Recommendation System. .- Applying Artificial Intelligence in Taiwan’s fin-tech: Exploring Usage Intention of Robo-advisor Service. .- Detecting Social Bots Using Neural Networks with Social, Word Embedding, and Temporal Features. .- Exploring Information Presentation and Sentiment Experience in Generative AI-Controlled Interfaces: A Case Study on Electric Bicycle Interaction. .- Advanced Generative AI: A Multi-Modal Approach through conversational Chatbot and Intelligent Question Answering for Enhanced customer experience and assistance in Air Travel Domain.

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