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Machine learning and soft computing9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and soft computingedited by Letian Huang.
其他題名:	9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.
其他題名:	ICMLSC 2025
其他作者:	Huang, Letian.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xvii, 365 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-981-96-6400-9
ISBN:	9789819664009$q(electronic bk.)

Machine learning and soft computing9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.Part I /
Machine learning and soft computing9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.Part I /[electronic resource] :ICMLSC 2025edited by Letian Huang. - Singapore :Springer Nature Singapore :2025. - xvii, 365 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,24871865-0937 ;. - Communications in computer and information science ;229..

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.

This two part-volume CCIS constitutes the refereed proceedings of 9th International Conference, ICMLSC 2025, in Tokyo, Japan in January 24-26, 2025. The 39 full papers and 13 short papers included in this book were carefully reviewed and selected from 121 submissions. They follow the topical sections as below: Part I : Multimodal Data Analysis and Model Optimization; Basic Theories of Machine Learning and Emerging Application Technologies; and Intelligent Recommendation System Design and Privacy Security. Part II : Deep Learning Models and High-performance Computing; Data-driven Complex System Modeling and Intelligent Optimization Algorithms; and Image Analysis and Processing Methods based on AI.

ISBN: 9789819664009$q(electronic bk.)

Standard No.: 10.1007/978-981-96-6400-9doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and soft computing9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.Part I /
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