Intelligent Information and Database Systems
17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I
Herausgegeben:Nguyen, Ngoc Thanh; Matsuo, Tokuro; Gaol, Ford Lumban; Manolopoulos, Yannis; Fujita, Hamido; Hong, Tzung-Pei; Wojtkiewicz, Krystian
Intelligent Information and Database Systems
17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I
Herausgegeben:Nguyen, Ngoc Thanh; Matsuo, Tokuro; Gaol, Ford Lumban; Manolopoulos, Yannis; Fujita, Hamido; Hong, Tzung-Pei; Wojtkiewicz, Krystian
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This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.
The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions.
The papers are organized in the following topical sections:
Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving…mehr
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This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.
The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions.
The papers are organized in the following topical sections:
Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms.
Part II: Games and Decision Theories; Image Processing and Computer Vision; Intelligent Techniques in Optimization; Machine Learning Techniques and Applications.
The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions.
The papers are organized in the following topical sections:
Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms.
Part II: Games and Decision Theories; Image Processing and Computer Vision; Intelligent Techniques in Optimization; Machine Learning Techniques and Applications.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 15683
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-6007-0
- Seitenzahl: 420
- Erscheinungstermin: 25. April 2025
- Englisch
- Abmessung: 235mm x 155mm x 23mm
- Gewicht: 634g
- ISBN-13: 9789819660070
- ISBN-10: 9819660076
- Artikelnr.: 73687762
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Lecture Notes in Computer Science 15683
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-6007-0
- Seitenzahl: 420
- Erscheinungstermin: 25. April 2025
- Englisch
- Abmessung: 235mm x 155mm x 23mm
- Gewicht: 634g
- ISBN-13: 9789819660070
- ISBN-10: 9819660076
- Artikelnr.: 73687762
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
.- Data Mining, Processing and Integration.
.- Physics-informed Discovery of State Variables in Second-Order and
Hamiltonian Systems.
.- A Hybrid Discovery Framework for USV Voyage Route Generation
Using AIS Data.
.- Proactive approach to personnel assignment in University Course
Timetabling Problem.
.- Improving Traffic Sign Detection Using Synthetic Data and Automatic
Labeling.
.- Unraveling Research Patterns in Quantum Computing Through Topic
Modeling and Network Analysis.
.- Mining Erasable Patterns Using the Bitmap Method in Quantitative
Component Databases.
.- Privacy Preserving Based on SHA Encryption and Cluster Analysis in
Federated Frequent Itemset Mining.
.- An Optimization Algorithm for Finding Extractive Summary from
Multiple Source Documents Based on Association and Clustering.
.- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and
Transformer Model Evaluation.
.- On Translating Association-Oriented Structures of Unified Process
Metamodel into OWL.
.- A Method for Evaluating Expressive Power and Semantic Capacity of
Metamodel in Conceptual Data Modeling.
.- Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven
Study.
.- Low Computational Aggregation Method for Time Series Forecasting.
.- Information graphs in process analysis.
.- Deep Learning Methods and Applications.
.- ESM-VAE: Bias Reduction in EEG Models via Synthetic Data
Generation with Variational Autoencoders.
.- Chromatic Aberration Detection Using Fully Convolutional Networks.
.- Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent
Deep Learning Models Predicting Off-target Activities for K562 and
Hek293 Cell Lines.
.- CerMixer: An Efficient Model for Cervical Cancer Classification Based
on Patching and Multi-Scale Depthwise Convolutional Fusion.
.- Generative Models Applications.
.- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in
Large Language Models.
.- Automatic Creation of Multilingual Knowledge Graph with Large
Language Models.
.- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems.
.- An empirical review of the effectiveness of different language processing
approaches in Software Code Vulnerability Detection.
.- Intelligent Information Systems and Problem-Solving Algorithms.
.- Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity
Domains.
.- Research on the Application of Large Language Models (LLM) for
Improving Recruitment Efficiency and Accuracy.
.- A Trading Strategy Portfolio Optimization Approach Based on Fuzzy
Mean-semivariance Model Using Memetic Algorithm.
.- Brain-Computer Interface Framework for Real-Time Application
Adaptation.
.- Jaccard Distance under Incompleteness.
.- Physics-informed Discovery of State Variables in Second-Order and
Hamiltonian Systems.
.- A Hybrid Discovery Framework for USV Voyage Route Generation
Using AIS Data.
.- Proactive approach to personnel assignment in University Course
Timetabling Problem.
.- Improving Traffic Sign Detection Using Synthetic Data and Automatic
Labeling.
.- Unraveling Research Patterns in Quantum Computing Through Topic
Modeling and Network Analysis.
.- Mining Erasable Patterns Using the Bitmap Method in Quantitative
Component Databases.
.- Privacy Preserving Based on SHA Encryption and Cluster Analysis in
Federated Frequent Itemset Mining.
.- An Optimization Algorithm for Finding Extractive Summary from
Multiple Source Documents Based on Association and Clustering.
.- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and
Transformer Model Evaluation.
.- On Translating Association-Oriented Structures of Unified Process
Metamodel into OWL.
.- A Method for Evaluating Expressive Power and Semantic Capacity of
Metamodel in Conceptual Data Modeling.
.- Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven
Study.
.- Low Computational Aggregation Method for Time Series Forecasting.
.- Information graphs in process analysis.
.- Deep Learning Methods and Applications.
.- ESM-VAE: Bias Reduction in EEG Models via Synthetic Data
Generation with Variational Autoencoders.
.- Chromatic Aberration Detection Using Fully Convolutional Networks.
.- Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent
Deep Learning Models Predicting Off-target Activities for K562 and
Hek293 Cell Lines.
.- CerMixer: An Efficient Model for Cervical Cancer Classification Based
on Patching and Multi-Scale Depthwise Convolutional Fusion.
.- Generative Models Applications.
.- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in
Large Language Models.
.- Automatic Creation of Multilingual Knowledge Graph with Large
Language Models.
.- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems.
.- An empirical review of the effectiveness of different language processing
approaches in Software Code Vulnerability Detection.
.- Intelligent Information Systems and Problem-Solving Algorithms.
.- Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity
Domains.
.- Research on the Application of Large Language Models (LLM) for
Improving Recruitment Efficiency and Accuracy.
.- A Trading Strategy Portfolio Optimization Approach Based on Fuzzy
Mean-semivariance Model Using Memetic Algorithm.
.- Brain-Computer Interface Framework for Real-Time Application
Adaptation.
.- Jaccard Distance under Incompleteness.
.- Data Mining, Processing and Integration.
.- Physics-informed Discovery of State Variables in Second-Order and
Hamiltonian Systems.
.- A Hybrid Discovery Framework for USV Voyage Route Generation
Using AIS Data.
.- Proactive approach to personnel assignment in University Course
Timetabling Problem.
.- Improving Traffic Sign Detection Using Synthetic Data and Automatic
Labeling.
.- Unraveling Research Patterns in Quantum Computing Through Topic
Modeling and Network Analysis.
.- Mining Erasable Patterns Using the Bitmap Method in Quantitative
Component Databases.
.- Privacy Preserving Based on SHA Encryption and Cluster Analysis in
Federated Frequent Itemset Mining.
.- An Optimization Algorithm for Finding Extractive Summary from
Multiple Source Documents Based on Association and Clustering.
.- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and
Transformer Model Evaluation.
.- On Translating Association-Oriented Structures of Unified Process
Metamodel into OWL.
.- A Method for Evaluating Expressive Power and Semantic Capacity of
Metamodel in Conceptual Data Modeling.
.- Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven
Study.
.- Low Computational Aggregation Method for Time Series Forecasting.
.- Information graphs in process analysis.
.- Deep Learning Methods and Applications.
.- ESM-VAE: Bias Reduction in EEG Models via Synthetic Data
Generation with Variational Autoencoders.
.- Chromatic Aberration Detection Using Fully Convolutional Networks.
.- Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent
Deep Learning Models Predicting Off-target Activities for K562 and
Hek293 Cell Lines.
.- CerMixer: An Efficient Model for Cervical Cancer Classification Based
on Patching and Multi-Scale Depthwise Convolutional Fusion.
.- Generative Models Applications.
.- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in
Large Language Models.
.- Automatic Creation of Multilingual Knowledge Graph with Large
Language Models.
.- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems.
.- An empirical review of the effectiveness of different language processing
approaches in Software Code Vulnerability Detection.
.- Intelligent Information Systems and Problem-Solving Algorithms.
.- Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity
Domains.
.- Research on the Application of Large Language Models (LLM) for
Improving Recruitment Efficiency and Accuracy.
.- A Trading Strategy Portfolio Optimization Approach Based on Fuzzy
Mean-semivariance Model Using Memetic Algorithm.
.- Brain-Computer Interface Framework for Real-Time Application
Adaptation.
.- Jaccard Distance under Incompleteness.
.- Physics-informed Discovery of State Variables in Second-Order and
Hamiltonian Systems.
.- A Hybrid Discovery Framework for USV Voyage Route Generation
Using AIS Data.
.- Proactive approach to personnel assignment in University Course
Timetabling Problem.
.- Improving Traffic Sign Detection Using Synthetic Data and Automatic
Labeling.
.- Unraveling Research Patterns in Quantum Computing Through Topic
Modeling and Network Analysis.
.- Mining Erasable Patterns Using the Bitmap Method in Quantitative
Component Databases.
.- Privacy Preserving Based on SHA Encryption and Cluster Analysis in
Federated Frequent Itemset Mining.
.- An Optimization Algorithm for Finding Extractive Summary from
Multiple Source Documents Based on Association and Clustering.
.- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and
Transformer Model Evaluation.
.- On Translating Association-Oriented Structures of Unified Process
Metamodel into OWL.
.- A Method for Evaluating Expressive Power and Semantic Capacity of
Metamodel in Conceptual Data Modeling.
.- Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven
Study.
.- Low Computational Aggregation Method for Time Series Forecasting.
.- Information graphs in process analysis.
.- Deep Learning Methods and Applications.
.- ESM-VAE: Bias Reduction in EEG Models via Synthetic Data
Generation with Variational Autoencoders.
.- Chromatic Aberration Detection Using Fully Convolutional Networks.
.- Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent
Deep Learning Models Predicting Off-target Activities for K562 and
Hek293 Cell Lines.
.- CerMixer: An Efficient Model for Cervical Cancer Classification Based
on Patching and Multi-Scale Depthwise Convolutional Fusion.
.- Generative Models Applications.
.- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in
Large Language Models.
.- Automatic Creation of Multilingual Knowledge Graph with Large
Language Models.
.- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems.
.- An empirical review of the effectiveness of different language processing
approaches in Software Code Vulnerability Detection.
.- Intelligent Information Systems and Problem-Solving Algorithms.
.- Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity
Domains.
.- Research on the Application of Large Language Models (LLM) for
Improving Recruitment Efficiency and Accuracy.
.- A Trading Strategy Portfolio Optimization Approach Based on Fuzzy
Mean-semivariance Model Using Memetic Algorithm.
.- Brain-Computer Interface Framework for Real-Time Application
Adaptation.
.- Jaccard Distance under Incompleteness.