Journals indexed in the JCR

• 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. 1, pp. 41–52, 2023. doi:10.3233/ICA-220695

• 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

Conferences

• 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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