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Enol García González
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2020 – today
- 2024
- [c7]Enol García González, José R. Villar, Javier Sedano:
A Comparison Procedure for the Evaluation of Metaheuristics. HAIS (1) 2024: 153-164 - [c6]Madalina Dicu, Enol García González, Camelia Chira, José R. Villar:
The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images. HAIS (1) 2024: 251-262 - 2023
- [j3]Morteza Kiadi, Enol García González, José R. Villar, Qing Tan:
A*-Based Co-Evolutionary Approach for Multi-Robot Path Planning with Collision Avoidance. Cybern. Syst. 54(3): 339-354 (2023) - [j2]Enol García González, José R. Villar, Qing Tan, Javier Sedano, Camelia Chira:
An efficient multi-robot path planning solution using A* and coevolutionary algorithms. Integr. Comput. Aided Eng. 30(1): 41-52 (2023) - [c5]Enol García González, José R. Villar, Camelia Chira, Enrique A. de la Cal, Luciano Sánchez, Javier Sedano:
Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments. SOCO (2) 2023: 279-289 - 2022
- [j1]Enol García González, Mario Villar, Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Sung-Bae Cho:
Towards effective detection of elderly falls with CNN-LSTM neural networks. Neurocomputing 500: 231-240 (2022) - [c4]Enol García González, José R. Villar, Camelia Chira, Javier Sedano:
A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks. HAIS 2022: 494-504 - 2021
- [c3]Enrique A. de la Cal, Enol García González, José Ramón Villar:
Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks. HAIS 2021: 256-264 - [c2]Enol García González, José Ramón Villar, Enrique A. de la Cal:
Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles. SOCO 2021: 91-100 - 2020
- [c1]Enol García González, José Ramón Villar, Enrique A. de la Cal:
Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection. SOCO 2020: 563-570
Coauthor Index
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