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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
.- 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.
