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.
.- Games and Decision Theories. .- Deterministic and Nondeterministic Decision Trees for Recognition of All Realizable Decision Rules. .- Billiards-based Generation of Multi-task, Dense Subitizing Detection Diagrams. .- GAMER-Pong: Game Adjustment by Monitoring Emotional Response. .- Image Processing and Computer Vision. .- Machine Learning Algorithms for Hand sEMG-recorded Movements. .- Boosting Face Super-Resolution and Identification with Knowledge Distillation and Frequency Domain Loss. Improving Efficiency Image Captioning by using Attention Mechanism combined with Knowledge Graph. .- An approach of fuzzy-enhanced multi-viewed image em-bedding fusion for spinal disease detection. .- Boosting Lightweight Multi-Branch Network by Integrating Segment, Skeleton, and Attribute Information. .- Continuous Recognition of Mouth Patterns in Japanese Sign Language for Visual Communication. .- Towards an UAV Visual Navigation System Based on Map Processing and Spatial Matching Techniques: a Literature Review. .- Image enhancement with Boosted Schr¨odinger Bridge. .- Intelligent Techniques in Optimization. .- Kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset. .- Estimation of Distribution Algorithms with Overlapped Populations. .- Energy-Efficient Edge Query Processing for Smart City using Query Prediction. .- Influence Maximization with Fairness Cost on Groups in Online Social Networks. .- TMMP: Efficient Continual Learning via Mixture of LoRA Experts and Top Maximum Magnitude Parameter Fusion. .- ADMEdge: Accelerating Edge Computing through Co-Design for Enhanced Data Mobility. .- Machine Learning Techniques and Applications. .- The recursive scheme of clustering. .- TOPSIS-inspired Socio-cognitive Mutation Operator for Metaheuristics. .- Feature-Based Drift Detection in Non-Stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis. .- A Feature Transformation Technique for Improving Ensemble Learning Systems. .- Explainable Artificial Intelligence to Improve Interpretability in Predictive Mutation Testing. .- An Analysis of Class Imbalance Challenges in Predictive Mutation Testing. .- Efficient Vietnamese Name Detection using Highly Discriminative N-Grams. .- Evaluation of the effectiveness of ranking methods in detecting feature drift in artificial and real data. .- Using Artificial Neural Networks for Automated Lithologic Mapping and Mineral Exploration in Mayantoc, Tarlac, and San Juan, Batangas. .- Enhancing Accuracy and Stability in XAI for Context-specific Applications. .- Integration of Dynamic Window Sizing with Neural Network Architectures for Real-Time Cryptocurrency Predictions. .- Domain-oriented GCN method for Sentiment Analysis.
