Publicaciones (153) Publicaciones de Enrique Onieva Caracuel Ver datos de investigación referenciados.

2025

  1. A Graph Data Model Creation Methodology for Accident Hotspot Prediction in Urban Areas

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2024

  1. A Flexible Vehicle Routing Reinforcement Learning Environment for the Reusability of Trained Agents

    ACM International Conference Proceeding Series

  2. A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem

    Expert Systems with Applications, Vol. 252

  3. A variable neighbourhood search for minimization of operation times through warehouse layout optimization

    Logic Journal of the IGPL, Vol. 32, Núm. 4, pp. 688-699

  4. Autoencoder-Enhanced Clustering: A Dimensionality Reduction Approach to Financial Time Series

    IEEE Access, Vol. 12, pp. 16999-17009

  5. Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation

    IEEE Access, Vol. 12, pp. 29503-29524

  6. Portfolio construction using explainable reinforcement learning

    Expert Systems, Vol. 41, Núm. 11

2023

  1. A Fuzzy Logic Ensemble Approach to Concept Drift Detection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. A two-phase metaheuristic approach for the parcel locker location problem: First select then merge

    2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023

  3. Fuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehicles

    2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC

  4. Fuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehicles

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

2022

  1. A hybrid optimizer based on backtracking search and differential evolution for continuous optimization

    Journal of Experimental and Theoretical Artificial Intelligence, Vol. 34, Núm. 3, pp. 355-385

  2. An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation

    Pattern Recognition, Vol. 124

  3. Selective ensemble of classifiers trained on selective samples

    Neurocomputing, Vol. 482, pp. 197-211

  4. Time Series Forecasting Using Artificial Neural Networks: A Model for the IBEX 35 Index

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021

  1. Deep Transfer Learning for Interpretable Chest X-Ray Diagnosis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Deep Transfer Learning for Interpretable Chest X-Ray Diagnosis

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

  3. Optimization of Warehouse Layout for the Minimization of Operation Times

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Optimization of Warehouse Layout for the Minimization of Operation Times

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

  5. The role of machine learning in centralized authorization process of nanomedicines in European Union

    Current Topics in Medicinal Chemistry, Vol. 21, Núm. 9, pp. 828-838