Publicaciones (136) Publicaciones de Enrique Onieva Caracuel

2024

  1. 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

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

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

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

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

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

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. Waste Collection Vehicle Routing Problem Using Filling Predictions

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

  6. Waste Collection Vehicle Routing Problem Using Filling Predictions

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

2020

  1. A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

    Transportation Research Part C: Emerging Technologies, Vol. 112, pp. 62-77

  2. Dynamic frame update policy for UHF RFID sensor tag collisions

    Sensors (Switzerland), Vol. 20, Núm. 9

  3. Genetic optimised serial hierarchical fuzzy classifier for breast cancer diagnosis

    International Journal of Bio-Inspired Computation, Vol. 15, Núm. 3, pp. 194-205

  4. Machine learning as a proposal for a better application of food nanotechnology regulation in the European Union

    Current Topics in Medicinal Chemistry, Vol. 20, Núm. 4, pp. 324-332

  5. PTML Model for Selection of Nanoparticles, Anticancer Drugs, and Vitamins in the Design of Drug-Vitamin Nanoparticle Release Systems for Cancer Cotherapy

    Molecular pharmaceutics, Vol. 17, Núm. 7, pp. 2612-2627