Computational Intelligence

This three-volume set CCIS 2827-2829 constitutes the refereed proceedings of the 17th International Joint Conference on Computational Intelligence, IJCCI 2025, held in Marbella, Spain, during October 22-24, 2025.

The 36 full papers and 83 short papers included in these volumes were carefully reviewed and selected from 146 submissions. They are organized into the following topical sections:

Part I: International Conference on Agentic and Generative Techniques in Intelligent Computational Systems; International Conference on Fuzzy Computation Theory and Applications.
Part II: International Conference on Evolutionary Computation Theory and Applications.
Part III: International Conference on Explainable AI for Neural and Symbolic Methods; International Conference on Neural Computation Theory and Applications.

. - International Conference on Explainable AI for Neural and Symbolic Methods.
. - AutoCausalAIME: A CMA-ES-Driven Framework for Parametric
Penalty Tuning in Causal Inverse Explanations.
. - Leveraging Large Language Models for Generating and Evaluating Natural Language Explanations in XAI: A Comparative Study.
. - Uncertainty in Deep Model Performance for Radiology: A Case Study of Classifying Maxillary Sinus Appearance.
. - Explain to Gain: Optimising Performance Through Explainable Reinforcement Learning Parameter Investigation.
. - Quantifying Prototype Stability in ProtoPNet Without Manual Part Annotations.
. - Interpretable Railway Object Classification Using Part-Prototype Networks.
. - Efficient Construction of Interpretable Oblique Decision Trees.
. - Extracting Deterministic Finite Automata from RNNs via Hyperplane Partitioning and Learning.
. - Profiling German Text Simplification with Model-Fingerprints.
. - Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks.
. - Extensibility, Model Interpretability and Explainability, and Automation in ML. NET: A Comprehensive Analysis.
. - SemantriX: An Explainable Hybrid Model for Aligning Vector Similarity and Semantic Relevance.
. - Explainable Knowledge Access: Recursive and Rerank-Based RAG for Interpretable QA.
. - How Prompting Shapes Decisions: Analyzing LLM Behavior in XAI-Augmented Decision Support Systems.
. - Mechanistic Interpretability for Transformer-based Time Series Classification.
. - XAI-Driven Solutions to Enhance Safety for Limited-Mobility Road Users.
. - User Fairness in Recommender Systems using Beyond-Accuracy Basket Quality Metrics.
. - Analyzing Accuracy and Consistency of GPT 4o Mini in Trivial Pursuit, and the Implications for its Use in Professional Contexts.
. - Interpretable Explainable AI: Comparing Bayesian Structural Equation Modelling with Other Algorithms.
. - Unsupervised Hierarchical Growing Neural Architecture for Sensorimotor Map Learning.
. - Rule Extraction from Fake News Classifiers.
. - Contrasting Human and Emergent Concepts in Image Classifiers.
. - An Explainable Multi-Domain Document Summarization Framework using Domain-Aware Fine-Tuned Large Language Models.
. - SPAX: A Shapley-Based Point Attribution eXplanation for Interpreting 3D Point Cloud Classification.
. - A Privacy-Preserving and Explainable Approach for Anomaly Detection in Substation Networks.
. - Exposing Shortcuts in Image Classification by Aggregating Counterfactuals.
. - On Explainable Disease Progression Forecasting with Transformer Models.
. - International Conference on Neural Computation Theory and Applications.
. - Determining Optimal Pixel Resolution for Object Detection in Satellite Imagery: A Class-Specific Approach.
. - Re-Ranked Transformer: New Strategy Based on Misspellings and Typos Pattern Analysis for Keystroke Biometrics Improvement.
. - Towards Generalizing Deep Reinforcement Learning Algorithms for Real World Applications.
. - Degradation-Aware Energy Management in Residential Microgrids: A Reinforcement Learning Framework.
. - Innovative Techniques for Efficient Hyperdimensional Computing on Hardware: Enhance Accuracy and On-Fly Hypervector Generation.
. - A Universal Urban Electricity-Demand Simulator for Developing and Evaluating Load-Scheduling and Forecasting Systems.
. - Drowsiness Detection with Time-Series Classification Using HRV Features.
. - A Structured Survey of Anomaly Types and Classification-Based Detection Models in IoT.
. - Assessing Driving Style from Telematics Data with a Two-Stage Clustering Approach.
. - Fine-Tuning Prototypes for Cross-Domain Few-Shot Image Classification Using Contrastive Objective.
. - OS-QLR: One-Shot Quantized Latent Refinement for Fast and Efficient Image Generation.
. - Dataset-Independent Approach for Generating Synthetic Data in Optical Defect Detection.
. - Combining Large-Scale and Domain-Specific Datasets for Hate Speech Severity Modeling: A Regression-Based Approach.
. - MLP Model for Prediction of Pellet Combustion: How to Deal with Small Datasets.
. - Multi-Subspace SVD Generators for Continual Learning.
. - From High-Frequency Sensors to Noon Reports: Using Transfer Learning for Shaft Power Prediction in Maritime.
. - Towards Robust Urban Parking Violation Prediction Using Graph Kolmogorov Arnold Networks and Liquid Neural Networks.
. - Data Augmentation for Neuroaesthetics Analysis.