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Publication search results
found 94 matches
- 2024
- Daniel González-Cortés
, Enrique Onieva
, Iker Pastor-López
, Laura Trinchera
, Jian Wu
:
Autoencoder-Enhanced Clustering: A Dimensionality Reduction Approach to Financial Time Series. IEEE Access 12: 16999-17009 (2024) - 2023
- Carlos del Campo, Borja Sanz, Jon Díaz, Enrique Onieva:
A Fuzzy Logic Ensemble Approach to Concept Drift Detection. HAIS 2023: 84-96 - Álvaro Gómez-Barroso, Eneko Otaola, Enrique Onieva, Beñat Arteta, Joshué Pérez, Pablo Prieto:
Fuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehicles. ITSC 2023: 3686-3691 - Erick Rodríguez-Esparza, Emmanouil Kampitakis, Antonio D. Masegosa, Enrique Onieva, Eleni I. Vlahogianni:
A two-phase metaheuristic approach for the parcel locker location problem: First select then merge. MT-ITS 2023: 1-6 - 2022
- Amgad M. Mohammed, Enrique Onieva, Michal Wozniak
:
Selective ensemble of classifiers trained on selective samples. Neurocomputing 482: 197-211 (2022) - Yigit Çagatay Kuyu
, Enrique Onieva, Pedro López-García
:
A hybrid optimizer based on backtracking search and differential evolution for continuous optimization. J. Exp. Theor. Artif. Intell. 34(3): 355-385 (2022) - Amgad M. Mohammed, Enrique Onieva, Michal Wozniak
, Gonzalo Martínez-Muñoz
:
An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation. Pattern Recognit. 124: 108493 (2022) - Daniel González-Cortés
, Enrique Onieva
, Iker Pastor
, Jian Wu
:
Time Series Forecasting Using Artificial Neural Networks - A Model for the IBEX 35 Index. HAIS 2022: 249-260 - Erick Rodríguez-Esparza, Antonio D. Masegosa, Diego Oliva, Enrique Onieva:
A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem. CoRR abs/2206.03185 (2022) - 2021
- Jon Díaz, Haizea Rodriguez, Jenny Fajardo Calderín, Ignacio Angulo, Enrique Onieva:
Optimization of Warehouse Layout for the Minimization of Operation Times. HAIS 2021: 649-658 - Carlos Lago, Iñigo Lopez-Gazpio, Enrique Onieva:
Deep Transfer Learning for Interpretable Chest X-Ray Diagnosis. HAIS 2021: 524-537 - Haizea Rodriguez, Jon Díaz, Jenny Fajardo Calderín, Asier Perallos, Enrique Onieva:
Waste Collection Vehicle Routing Problem Using Filling Predictions. HAIS 2021: 637-648 - 2020
- Amgad M. Mohammed, Enrique Onieva
, Michal Wozniak
:
Training set selection and swarm intelligence for enhanced integration in multiple classifier systems. Appl. Soft Comput. 95: 106568 (2020) - Xiao Zhang, Enrique Onieva, Asier Perallos, Eneko Osaba:
Genetic optimised serial hierarchical fuzzy classifier for breast cancer diagnosis. Int. J. Bio Inspired Comput. 15(3): 194-205 (2020) - Laura Arjona, Hugo Landaluce
, Asier Perallos, Enrique Onieva
:
Dynamic Frame Update Policy for UHF RFID Sensor Tag Collisions. Sensors 20(9): 2696 (2020) - 2019
- Mikel Canizo
, Angel Conde
, Santiago Charramendieta
, Raúl Miñón, Raul Gomez Cid-Fuentes, Enrique Onieva:
Implementation of a Large-Scale Platform for Cyber-Physical System Real-Time Monitoring. IEEE Access 7: 52455-52466 (2019) - Pedro López-García
, Antonio D. Masegosa, Eneko Osaba
, Enrique Onieva, Asier Perallos:
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics. Appl. Intell. 49(8): 2807-2822 (2019) - Pablo García Bringas
, Igor Santos, Enrique Onieva, Eneko Osaba
, Héctor Quintián
, Emilio Corchado:
Special issue HAIS 2015: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 326-327: 69-70 (2019) - Mikel Canizo
, Isaac Triguero
, Angel Conde
, Enrique Onieva
:
Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing 363: 246-260 (2019) - Amgad M. Mohammed, Enrique Onieva, Michal Wozniak
:
Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning. CORES 2019: 86-97 - 2018
- Laura Arjona
, Hugo Landaluce, Asier Perallos, Enrique Onieva:
Timing-Aware RFID Anti-Collision Protocol to Increase the Tag Identification Rate. IEEE Access 6: 33529-33541 (2018) - Eneko Osaba
, Roberto Carballedo
, Fernando Díaz, Enrique Onieva
, Antonio D. Masegosa
, Asier Perallos:
Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems. Neurocomputing 271: 2-8 (2018) - Pedro López-García
, Antonio D. Masegosa
, Enrique Onieva, Eneko Osaba
:
Ensemble and Fuzzy Techniques Applied to Imbalanced Traffic Congestion Datasets: A Comparative Study. BIOMA 2018: 185-196 - 2017
- Pablo García Bringas
, Igor Santos-Grueiro, Enrique Onieva, Eneko Osaba
, Héctor Quintián
, Emilio Corchado:
Editorial: Special Issue HAIS15-IGPL. Log. J. IGPL 25(6): 859-861 (2017) - Asier Moreno
, Eneko Osaba
, Enrique Onieva
, Asier Perallos, Giovanni Iovino, Pablo Fernández:
Correction: Moreno, A., et al. Design of a Cooperative ITS Architecture Based on Distributed RSUs. Sensors 17(6): 1301 (2017) - Eneko Osaba
, Xin-She Yang, Fernando Díaz, Enrique Onieva, Antonio D. Masegosa
, Asier Perallos:
A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Comput. 21(18): 5295-5308 (2017) - Laura Arjona
, Hugo Landaluce
, Asier Perallos, Enrique Onieva:
Scalable RFID Tag Estimator With Enhanced Accuracy and Low Estimation Time. IEEE Signal Process. Lett. 24(7): 982-986 (2017) - Enrique Onieva, Eneko Osaba
, Ignacio Angulo
, Asier Moreno
, Alfonso Bahillo
, Asier Perallos:
Improvement of Drug Delivery Routes Through the Adoption of Multi-Operator Evolutionary Algorithms and Intelligent Vans Capable of Reporting Real-Time Incidents. IEEE Trans Autom. Sci. Eng. 14(2): 1009-1019 (2017) - Antonio D. Masegosa
, Enrique Onieva, Pedro López-García
, Eneko Osaba
:
Applications of Soft Computing in Intelligent Transportation Systems. Soft Computing Based Optimization and Decision Models 2017: 63-81 - Mikel Canizo
, Enrique Onieva, Angel Conde, Santiago Charramendieta
, Salvador Trujillo:
Real-time predictive maintenance for wind turbines using Big Data frameworks. ICPHM 2017: 70-77
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