Journals indexed in the JCR

• E. García González, J. R. Villar, J. Sedano, and C. Chira, ‘Benchmarking analysis for biological-based metaheuristics’, Dyna, vol. 99, no. 1, pp. 296–302, 2024. doi:10.6036/11070
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• E. García González, J. R. Villar, Q. Tan, J. Sedano, and C. Chira, ‘An efficient multi-robot path planning solution using A* and coevolutionary algorithms’, Integrated Computer-Aided Engineering, vol. 30, no. 3, pp. 41–52, 2023. doi:10.3233/ICA-220695
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• M. Kiadi, E. García González, J. R. Villar, and Q. Tan, ‘A*-Based Co-Evolutionary Approach for Multi-Robot Path Planning with Collision Avoidance’, Cybernetics and Systems, pp. 1–16, 2022. doi:10.1080/01969722.2022.2030009
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• E. García González, M. Villar, M. Fáñez, J. R. Villar, E. de la Cal, and S.-B. Cho, ‘Towards effective detection of elderly falls with CNN-LSTM neural networks’, Neurocomputing, vol. 500, pp. 231–240, 2021. doi:10.1016/j.neucom.2021.06.102
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Conferences

• M. Dicu, E. García González, C. Chira, and J. R. Villar, ‘The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images’, in Hybrid Artificial Intelligent Systems: 19th International Conference (HAIS 2024), 2024
• E. García González, J. R. Villar, and J. Sedano, ‘A comparison procedure for the evaluation of metaheuristics’, in Hybrid Artificial Intelligent Systems: 19th International Conference (HAIS 2024), 2024
• E. García González, J. R. Villar, M. González, and J. Sedano, ‘Multi-Robot Path Planning problem applied to real world enviroment’, in International Workshop on Soft Computing Models in Industrial and Environmental Applications (SOCO 2024), 2024
• E. García González, J. R. Villar, C. Chira, and J. Sedano, ‘Multi-objective optimization for Multi-Robot Path Planning on warehouse environments’, in International Workshop on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023, pp. 494–504. doi:10.1007/978-3-031-42536-3_27
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• E. García González, J. R. Villar, C. Chira, and J. Sedano, ‘A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks’, in Hybrid Artificial Intelligent Systems: 17th International Conference (HAIS 2022), 2022, pp. 494–504. doi:10.1007/978-3-031-15471-3_42
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• E. García González, J. R. Villar, and E. de la Cal, ‘Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles’, in International Workshop on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), 2021, pp. 91–100. doi:10.1007/978-3-030-87869-6_9
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• E. de la Cal, E. García González, and J. R. Villar, ‘Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks’, in Hybrid Artificial Intelligent Systems: 16th International Conference (HAIS 2021), 2021, pp. 256–264. doi:10.1007/978-3-030-86271-8_22
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• E. García González, J. R. Villar, and E. de la Cal, ‘Time series data augmentation and dropout roles in deep learning applied to fall detection’, in 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), 2021, pp. 563–570. doi:10.1007/978-3-030-57802-2_54
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