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Full Description
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.
Contents
.- 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.
