Intelligent Information and Database Systems 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part II

.- 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 embedding 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.