Full Description
The CCIS book constitutes selected papers of the 12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, which took place in Las Vegas, NV, USA, during December 3-5, 2025.
The 38 full papers and 4 poster papers included in this book were carefully reviewed and selected from a total of 389 submissions to the Research Track on Artificial Intelligence, CSCI-RTAI. They were organized in topical sections as follows: Learning Strategies - Transfer Learning and Reinforcement Learning; Artificial Intelligence - Applications of Graphs and Networks; Artificial Intelligence - Natural Language Processing & Large Language Models; Artificial Intelligence - Prediction and Forecasting Methods; Artificial Intelligence - Algorithms and Applications; and Poster Papers.
Contents
.- SECTION: Learning Strategies - Transfer Learning and Reinforcement Learning.
.- Integrating Explainability and Knowledge Graphs in Multi Agent Reinforcement Learning for Air Combat Simulation.
.- User-Guided Transfer Learning for Optimized Non-Intrusive Load Monitoring.
.- A machine learning approach for defect dimension estimation from eddy current testing.
.- Acquisition of Extensive Pareto-Optimal Policies via Event-Triggered Reinforcement Learning
.- Machine Learning Insights on SME Resilience: Evidence from Ibero-America and Ecuador.
.- MSD-PUGAN: An InSAR 2-D Phase Unwrapping Method Based on Multi-Scale Discriminator Learning.
.- Learning Dense Rewards from Self-Generated Trajectories for Autonomous Driving.
.- Proper Voicing in AI Music Generation.
.- SECTION: Artificial Intelligence - Applications of Graphs and Networks.
.- GC-MoE: Hierarchical Financial Market Forecasting with Graph-Context Mixture-of-Experts.
.- Beyond Graph Neural Networks: Tree-Based Performance Prediction for LLMs Across GPU Architectures.
.- ELROND: A Resistance Distance Based Approach to Ranking Results from Knowledge Graph Queries.
.- Multiclass Hate Speech Detection with RoBERTa-OTA: Integrating Transformer Attention and Graph Convolutional Networks.
.- GRAFT: Graph-of-Thoughts-Based Reasoning and Augmentation for Fine-Tuning Text-to-SQL.
.- Leakage Period Localization Method for Water Distribution Network based on Continuous-Time Dynamic Graph.
.- Generative AI Driven Hybrid Vision-Language and Property Graph Pipeline for Reliable Information Retrieval.
.- Weighted Graph Nodes Clustering via Gumbel SoftMax.
.- SECTION: Artificial Intelligence - Natural Language Processing & Large Language Models.
.- Sentence Simplification for Natural Language to Formal Logic Translation.
.- eBPF-Enhanced Observability and Performance Optimization for AI/ML and Large Language Model Workloads: Production-Validated Kernel-Level Monitoring, Resource Scheduling, and Security Enforcement.
.- Not Ready for Prime Time: Generating and Grading Test Questions for Adult Learners with Large Language Models.
.- Assessing the Effectiveness of Large Language Models and Social Media Data for Early Traffic-Incident Detection.
.- Early Detection of Weak Signals in News with KIM/KEM Maps and Transformer-based Language Models.
.- SECTION: Artificial Intelligence - Prediction and Forecasting Methods.
.- Distilled Tree Models for Cardiovascular Risk Prediction from Imbalanced Clinical Data.
.- FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction.
.- Climate Prediction in the Jocotitlan Valley Using Linear Regression Techniques.
.- Graph-Augmented Machine Learning for Socioeconomic Prediction Using Census Data.
.- GAC-LSTM: A Genetic Algorithm with Caching-Enhanced LSTM for PM2.5 Forecasting.
.- SECTION: Artificial Intelligence - Algorithms and Applications.
.- Improved Completion with combined S1500 and DrugMatrix using side information and attention.
.- Hybrid CNN-ViT with Multi-Scale Feature Fusion for Multi-Class Chest X-ray Diagnosis.
.- Explainable AI Methods Toward Increased Trustworthiness of ML in Industrial Control Systems: A Systematic Literature Review with Reference Design and Results.
.- Network of Quantum Neural Networks.
.- Soil Classification using a ResNet50-EfficientNet Hybrid Model with Efficient Channel Attention.
.- Cross-Lingual Benchmarking for Image Captioning: Assessing Translation in Low-Resource Settings.
.- Towards Tracing the quality of code generated by LLM Back to the Training Code.
.- Conceptualizing Trustworthiness of AI Systems.
.- Technical Review of the Challenges and Advances of Privacy-Preserving Deep Learning Techniques for Audio Data.
.- Cognitive Artificial Intelligence in Business Process Management: An Adaptive and Context-Aware Process Optimization Framework.
.- A Multi-Agent Self-Optimizing Framework for Real-Time LLM Model Selection and Routing.
.- Reducing Carbon Emissions in AI-Generated Videos by Harnessing Spatial Shifting Technique.
.- SECTION: Poster Papers.
.- Accurate 0 m Goal Achievement for CanSat Using Multi-Zone ToF Sensing and Object Detection.
.- Comparative Study of Evolutionary and Swarm Algorithms for Training Neural Network-based Acrobot Controllers.
.- Controller for Android Navigation with Discretized Inputs (CANDI).
.- Graph Neural Network Prediction of Frictional Force Networks in Wet Fine Grinding.
