
Hybrid Artificial Intelligent Systems
Description
This book constitutes the proceedings of the 21st International Conference on Hybrid Artificial Intelligence Systems, HAIS 2026, held in Marbella, Spain, during June 18-19, 2026.
The 38 full papers included in this book were carefully reviewed and selected from 89 submissions. They are organized into the the following topical sections: Health & Biomedical AI; Applied AI: Food, Water & Resources; Vision, Robotics & Inspection; LLMs, RAG & Agents; Hybrid Optimization & Planning; Hybrid Industrial & Energy AI; and Interpretable & Robust ML.
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Content
.- Health & Biomedical AI.
.- A Systematic Analysis of Data Augmentation and Training Parameters for Lightweight CNN-Based Mammographic Lesion Classification.
.- Phase-phase coupling characterization and classification using KAN-based autoencoder.
.- Feature Selection for Cognitive Decline Detection Using Machine Learning.
.- Early Detection of Neurotoxicity in Neuronal Cultures via Unsupervised Anomaly Detection on MEA Spike Waveforms.
.- A Byzantine-Resilient Agentic Framework for Robust Multimodal Subtyping of Non-Hodgkin Lymphoma.
.- Subject-Level Classification of Primary Progressive Aphasia from Manually Derived Linguistic Features: Effects of Task Granularity and Variant Sensitivity.
.- Applied AI: Food, Water & Resources.
.- Autonomous Soil Nutrient Mapping System: Integrating NIR Spectroscopy with a SCARA-Manipulator on a Summit-XL Rover.
.- Robust Plant Disease Diagnosis Using Multi-Agent Systems.
.- Gaussian Mixture Models for Identifying Ultra-Processed Foods.
.- Variability of Water Consumption Patterns: Assessing User Membership Stability via PCA and K-Means.
.- Enhancing the Discriminative Quality of Dairy Cattle Monitoring Data through Feature Engineering.
.- Hybrid Integration of CNN, Spectral, Structural, and Attention Mechanisms for Vegetation-Soil Segmentation in Agricultural Images.
.- Vision, Robotics & Inspection.
.- Convolutional Autoencoders Based Unsupervised Detection for Overshoot Cutting Defects on Shipbuilding Base Plates.
.- Evaluating Off-the-Shelf Semantic Segmentation for Quadruped Navigation via Pseudo-Ground Truth.
.- Occlusion-Aware Bird's-Eye-View Semantic Segmentation for Surround-View Fisheye Cameras.
.- Human-Related Acoustic Event Classification under Real Background Interference: The Role of Controlled Acoustic Dataset Generation.
.- On the Automatic Visual Inspection for Defects Detection in Injection Molding Processes.
.- LLMs, RAG & Agents.
.- Large Language Model-based Automatic Knowledge Graph Enrichment.
.- Memory Mining for LLM Agents: Dynamic Topic-Aware Retrieval of User Fact Records.
.- Hybrid Tri-Layer Framework for Robust AI-Generated Text Detection in Spanish.
.- SmartBrew Advisor: A Hybrid Conversational Recommender System for Brewing Product Guidance.
.- Hybrid Optimization & Planning.
.- An Efficient Rainbow based Memetic Algorithm to the Linear Fixed Cost Transportation Problem.
.- A Hybrid Nearest Neighbor Approach with Crossover Operators for Traveling Salesman Problem.
.- NSGA-II Multi-Objective Optimization of Plastic Injection Molding Parameters Supported by Surrogate Models.
.- Hybrid residential photovoltaic power plant scheduling method based on demand and generation forecasting.
.- Anticipatory Dispatch and Repositioning for On-Demand Food Delivery.
.- Network Architecture Search: a comparison study.
.- Imitation learning via deep Q-learning for multi-robot path planning.
.- Hybrid Industrial & Energy AI.
.- Hybrid Preprocessing and Machine Learning for Wind Power Prediction in Small-Scale Wind Systems.
.- Automatic Classification of Battery Operating Regimes Using Hidden Markov Models and Voltage Data.
.- A hybrid model for predicting petroleum coke quality based on feedstock composition and process parameters.
.- An Explainable Hybrid Framework for Process Fault Diagnosis.
.- Interpretable & Robust ML.
.- Searching for Interpretable Multilayer Perceptrons Using a Structural-Behavioural Interpretability Metric.
.- Incremental Explanatory Variable Enrichment for Interpretable Clustering Models.
.- A Variational Quantum Classifier Applied to Romanian Financial Data: Insights into Energy-Pharmaceutical Sector Relations.
.- Cascaded Bias Mitigation with Multi-objective Bayesian Optimization for Credit Scoring.
.- Feature Imaging via Mutual Information for CNN-Based IoT Intrusion Detection on NF-UNSW-NB15-v3.
.- Active Learning and Self-Labeling in Low-Budget Annotation.