Hybrid Artificial Intelligent Systems

.- Deep Learning and Representation Learning.

.- Knowledge Distillation of Class Activation Maps from Two Teachers for Continual Learning.

.- RAPID: Robust Adaptive Probabilistic Inference with DINO Features.

.- MapFM: Foundation Model-Driven HD Mapping with Multi-Task Contextual Learning.

.- Revisiting Automatic Essay Assessment: A Relative Approach.

.- Evaluating the Usefulness of Large Language Models for Human Activity Recognition Data Augmentation via Few-shot Samples.

.- Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs).

.- Hybrid Vision System for Minor Pre-Assembly Identification in a Robotic Welding Cell.

.- An energy efficient model based on the feature pseudo-embedding.

.- HAIS Energy Applications.

.- Forecasting Thermal Demand in Citizen Energy Communities Using Machine Learning: Application to the Urberoa Case Study.

.- A Hybrid Modelling Approach for Forecasting the Acquired Electrical Power from Photovoltaic Panels.

.- KARMA: KAN meets ARIMA.

.- IIoT-Driven Time Series Imputation for Sustainable Metalworking Fluid Monitoring.

.- Evolutionary Computation and Optimization.

.- An Adaptive Memetic Algorithm for Solving the Multiple Knapsack Assignment Problem.

.- Advanced Decomposition-based Bioinspired Algorithms for Multiobjective Phylogenetics.

.- An Ant Colony Optimization Approach for Safest Path Pair Computation under Correlated Failures.

.- DRL-Driven Batch-Oriented SDN Migration with Weighted Traffic Matrix Clustering for Dynamic Networks.

.- Reinforcement Learning and AI Planning.

.- Emotional Value-aware Agents: a Viewpoint paper.

.- Neuro-Symbolic Reasoning with Multiple Large Language Models Combined by First-Order Logic.

.- SimplyQRL: A Modular Benchmarking Library for Hybrid Quantum Reinforcement Learning.

.- Enhancing World Models with Specialized Prediction Networks for Reinforcement Learning.

.- Smart Mobility and Transportation Optimization.

.- Clustering-Based Route Optimization for Mixed Ride-Sharing under Time Constraints.

.- Origin-Destination Frequency Tensors and Their Application in Machine Learning Modelling.

.- Fast-TRACLUS: An Optimized Trajectory Clustering Algorithm for Large-Scale Datasets.

.- Action Space Size Effects in Reinforcement Learning for the Vehicle Routing Problem.

.- Time Series and Forecasting Methods.

.- Perplexity, Uncertainty, and the Limits of Active Learning.

.- Channel selection and creation algorithms for Electroencephalography classification with HIVE-COTE.

.- Multivariate Regime Identification and Prediction in Financial Markets via Gaussian Mixture and Gradient Boosting Methods.

.- On-Edge Task Planning with Large Language Models for Service Robotics.