國立高雄大學圖資館 |

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and soft computingedited by Letian Huang.
Reminder of title:	9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.
remainder title:	ICMLSC 2025
other author:	Huang, Letian.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvii, 365 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	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 /
LDR:04749nmm a2200349 a 4500 001 677467
003 DE-He213
005 20250524130243.0
006 m d
007 cr nn 008maaau
008 251021s2025 si s 0 eng d
020 $a 9789819664009$q(electronic bk.)
020 $a 9789819663996$q(paper)
024 7 $a 10.1007/978-981-96-6400-9 $2 doi
035 $a 978-981-96-6400-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQM $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .I61 2025
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Machine learning and soft computing $h [electronic resource] : $b 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers. $n Part I / $c edited by Letian Huang.
246 3 $a ICMLSC 2025
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvii, 365 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2487
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Soft computing $v Congresses. $3 387156
650 1 4 $a Machine Learning. $3 833608
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Logic in AI. $3 836108
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 913134
700 1 $a Huang, Letian. $3 991005
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-981-96-6400-9
950 $a Computer Science (SpringerNature-11645)