.- Computer Vision and Robotics .
.- Graph-Based Semantic Segmentation of Agricultural Images Using CNN Features, Vegetation Spectral Indices, and Wavelet Texture Descriptors.
.- Deep Learning-Based Brain Lesion Segmentation Across MRI Registration Templates.
.- Neuromechanical Control of Robotic Limbs using Conformable Fractional Dynamics and Spiking Neural Networks.
.- Deep sMRI features for ordinal classification of Alzheimer’s Disease staging.
.- Foundational Models / LLMs .
.- A Guided Multi-Agent Tutor for Progressive Help in Programming Practice.
.- Is the Extra Compute Worth It? Evaluating Rule Based and Language Model Approaches to Title Generation.
.- Explainable Foundation Models for Epileptic Seizure Detection in Large-Scale Imbalanced EEG Data.
.- Evaluating Cross-Model Consistency of LLM-Generated Sustainability Data for Points of Interest.
.- Benchmarking Chronos-2 as a Foundation Model for Traffic Forecasting.
.- Machine Learning .
.- Harnessing the synergy between the cumulative link model and the SLACE loss in ordinal classification.
.- Statistical Predictors of Optimal Minimum Segment Length for Automated Time-Series Data Volume Reduction.
.- Benchmarking Deep Learning Architectures for Unit Commitment in an Isolated Thermal Power System.
.- Evaluating Artificial Neural Networks with Realistic Memristive Variability.
.- A Study on Self-Supervised Learning Objectives for Intrusion Detection.
.- SpikeLoRA-X: Explainable, Responsible, and Energy-Efficient Spiking Neural Networks for Multi-Horizon Renewable-Energy Forecasting at the Edge.
.- A k-NN-Based Benchmark for Lag Selection in Time Series Forecasting.
.- Lookahead and Dynamic Beam Search Variants of FOCI for Conditional-Dependence Feature Selection.
.- Component analysis of CNN-based architectures for reverse game of life problem.
.- Optimization, Search and Planning .
.- Uncertainty Estimation for Deep Reconstruction in Actuatic Disaster Scenarios with Autonomous Vehicles.
.- Calibrated Uncertainty for Informative Path Planning in Aquatic Environmental Monitoring.
.- A Metaheuristic Approach to Combat Encounter Generation in Dungeons & Dragons.
.- Optimization of Production Line Scheduling: An OGA case study.
.- Reliable Backtesting for Continuous Industrial Optimization via Sequential Simulation:A Gas-Fired Ceramic Kiln Case Study.
.- ADR-EDA: A Reliability-Aware Controller for Dynamic Multiobjective Estimation of Distribution Algorithms.
.- Applying neural combinatorial optimization for the generalized regenerator location problem.
.- A multi-start constructive procedure for test case generation in model transformation testing.
.- Cellular Automata, (μ + λ) Evolutionary Strategies and Morphogenesis: A CBR Approach.
.- The Minimum Vertex Sum Sitting Arrangement on the cycle: Problem Definition and Empirical Analysis.
.- A Hybrid MILP-Multistart Metaheuristic for the Cask Loading Optimization Problem with Minimax Thermal Load: The Case of Asc´o Nuclear Power Plant (2028).
.- Generating Linear Ordering Problem Instances by Controlling Structural Inconsistencies.
.- Real-World Applications.
.- Rule-Based Explainability for Quantum Machine Learning in Thyroid Cancer Prediction.
.- Real-world NLOS validation of novel low-power BLE devices for Indoor Localization.
.- Uncertainty-Aware Neural Runoff Forecasting for Robust Low-Flow Decisions.
.- Real World Implementation of Deep Reinforcement Learning Policies for Environmental Missions with Autonomous Surface Vehicles.
.- On the characterization of glucose data through HAR: An integrated IoMT architecture.
.- Recommender Systems .
.- Improving Music Collaboration Recommendations Using TikTok Social Connections.
.- First, do no harm: Breaking suicidogenic echo chambers in media recommendation.
.- Post-Hoc Dirichlet Fine-Tuning of Variational Autoencoders for Collaborative Filtering: Accuracy Gains and Popularity Costs
