
Recent Challenges in Intelligent Information and Database Systems
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This three-volume set CCIS 2493-2495 constitutes the refereed proceedings of the 17th Asian Conference on Recent Challenges in Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.
The 80 papers included in these proceedings were carefully reviewed and selected from 301 submissions. The papers are organized in the following topical sections:
Volume I:
Data Analysis and Signal Processing; Development and Application of Large Language Models; Speech and Natural Language Processing.
Volume II:
Artificial Intelligence in Multimedia Technologies; Image and Video Processing.
Volume III:
Machine Learning and Artificial Intelligence Applications; Intelligent Information Systems and Advanced Problem-Solving Algorithms.
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Content
.- Machine Learning and Artificial Intelligence Applications.
.- Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning.
.- Earthquake Response Analysis with AI.
.- Streaming Counterfactual Subset Selection with Bias Awareness.
.- An Advanced Neural Network Architecture Combining CNN, Bi-LSTM and CamemBERT for Sentiment Analysis in French.
.- On Comparing LLM-Generated Causal Networks with a Rule-Based Approach.
.- Unveiling Parkinson's Disease Severity Using EEG-Driven Deep CNN Model.
.- Counteracting temporal attacks in Video Copy Detection.
.- Cross-Domain Transfer Learning for Semantic Segmentation of Seismic Facies.
.- Maximization of Communication Network Throughput using Dynamic Traffic Allocation Scheme.
.- Hierarchical Attention For Violence Detection.
.- Real-Time Facial Attribute Classifier using Streamlined Feature Re-calibration Module.
.- Real-Time Online Training Framework with Lesson-Based Curriculum for Minecraft Battle Bots.
.- A new application of reinforcement learning algorithm.
.- Ubervvald: Advanced Object Detection Library for Optimizing Complex Convolutional Neural Networks (CNNs) .
.- Optimizing Recovery Debt Collection Process by using Machine Learning and Operation Research .
.- Statistical Machine Learning Techniques for Wave Spectre Estimation in Coastal Seas.
.- Advancing Manufacturing Intelligence: Decisional DNA-based Methodology for Semi-Automatic Manufacturing Environment.
.- Comparative Analysis of Convolutional Neural Network Architectures for Emotion Recognition in Facial Images.
.- Speaker Change Detection with Pre-tranied Large Audio Model.
.- Multimodal Machine Learning Analysis of fNIRS Signals using LSTM and KNN Models for .- Cognitive States and Brain Activation Patterns Prediction.
.- Intelligent Information Systems and Advanced Problem-Solving Algorithms.
.- INVEST quality criteria in Agile Software Development - Do they come by nature or is it nurture?.
.- Limiting Energy Costs with the Two-step Heating Control of Natural Gas Boilers.
.- A novel parameter-free clustering algorithm for linear sum assignment problems.
.- Exploration in Case-Based Reasoning for Improved Problem-Solving.
.- Hybrid Quantum-Classical Algorithms for Explainable and Scalable Predictive Models in Binary Disease Classification.
.- Advanced Optimization Techniques for a Delivery Scheduling Problem by Using Genetic and Evolutionary Algorithms.
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