Hybrid Artificial Intelligent Systems
Description
This book constitutes the proceedings of the 20th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2025, held in Salamanca, Spain, during October 16-17, 2025.
The 53 full papers included in this book were carefully reviewed and selected from 120 submissions. They focus on the following topical sections:
Part I: Agricultural and Environmental Monitoring; Biomedical Applications; Cybersecurity and Network Protection; Data Mining and Decision Support Systems.
Part II: Deep Learning and Representation Learning; HAIS Energy Applications; Evolutionary Computation and Optimization; Reinforcement Learning and AI Planning; Smart Mobility and Transportation Optimization; Time Series and Forecasting Methods.
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Content
.- Agricultural and Environmental Monitoring.
.- Comparative Analysis of Cattle Behavior Across Intensive Dairy Farms through Dimensional Reduction Techniques.
.- Environmental Sound Recognition for Human-Robot Interaction in Social Robots.
.- A new Transformer-based hybrid model to forecast olive fruit fly using multimodal data.
.- Infrared Driver Monitoring Systems - A Review, New Opportunities and Trends.
.- Ambient Intelligence Integration in Vocational Education: Evaluating Smart Learning Environments for Digital Skills Development.
.- Zero-shot and Few-shot Learning with Vision-Language Models for post-disaster Structural Damage Assessment.
.- Biomedical Applications.
.- Analyzing the Impact of Data Augmentation on Tumor Detection and Classification in Mammograms.
.- An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and Classification.
.- Interpretable ML for Stress Detection from Vital Signs Using SHAP.
.- Learning from Normal Brain Activity for Automatic Detection of Photoparoxysmal Responses as Electroencephalographic Anomalies.
.- Subsymbolic and Symbolic Pipeline for an Explainable EEG Authentication System.
.- Cybersecurity and Network Protection.
.- Analyzing DoS Attacks on CoAP Networks Using Low-Dimensional Latent Representations.
.- An Approach to Anomaly Detection with Dynamic Threshold Definition for Real-World Environments.
.- Loss Functions for Time Series Forecasting in Network Security Situation Awareness.
.- A Hybrid Feature Selection Approach Using Filter-Wrapped Evaluation (FWE) for Attack Detection in SDN.
.- RAG embeddings storage optimization through quantization and dimensionality reduction.
.- Exploratory Visualization of IoT Attacks on the NF-CSE-CIC-IDS2018 dataset.
.- Data Mining and Decision Support Systems.
.- A Microservice System Architecture for Receiving ETL System.
.- A Novel General Hybrid System for Data Feature Selection.
.- Profiling Public Instagram Accounts with a Multimodal Vector for Hate Exposure Analysis.
.- Symbolic Regressor: a interpretability tool for Non-Intrusive Load Monitoring.
.- IoT Device Fingerprinting: Optimized with Data Diversity and Feature Selection for Computational Efficiency.
.- Improvement of Multi-Label Self-Adjusting Memory kNN Classifier for Sparse and Class-Imbalanced Data Streams.
.- HYBPARSIMONY-IDT: Hybrid Parsimonious Search for Interpretable Decision Trees.
.- Analysis of Kernel Thinning for Scalable Support Vector Machines.
