David Casillas-Perez
Orcid: 0000-0002-5721-1242
According to our database1,
David Casillas-Perez
authored at least 29 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system.
Comput. Oper. Res., March, 2024
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model.
Expert Syst. Appl., February, 2024
Digit. Signal Process., January, 2024
2023
Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.
Comput. Methods Programs Biomed., November, 2023
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction.
Cogn. Comput., March, 2023
IEEE Trans. Instrum. Meas., 2023
A Flexible Architecture Using Temporal, Spatial and Semantic Correlation-Based Algorithms for Story Segmentation of Broadcast News.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images.
IEEE Access, 2023
2022
3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information.
Multim. Tools Appl., 2022
Deep Shape-from-Template: Single-image quasi-isometric deformable registration and reconstruction.
Image Vis. Comput., 2022
Simultaneous exercise recognition and evaluation in prescribed routines: Approach to virtual coaches.
Expert Syst. Appl., 2022
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia.
Eng. Appl. Artif. Intell., 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review.
CoRR, 2022
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives.
Appl. Soft Comput., 2022
Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories.
Appl. Soft Comput., 2022
Extended Weighted ABG: A Robust Non-Linear ABG-Based Approach for Optimal Combination of ABG Path-Loss Propagation Models.
IEEE Access, 2022
2021
Hydro-power production capacity prediction based on machine learning regression techniques.
Knowl. Based Syst., 2021
Int. J. Comput. Vis., 2021
Eng. Appl. Artif. Intell., 2021
IEEE Access, 2021
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
2020
Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain.
Symmetry, 2020
Expert Syst. Appl., 2020
Weighted ABG: A General Framework for Optimal Combination of ABG Path-Loss Propagation Models.
IEEE Access, 2020
2019
2018
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image.
CoRR, 2018
2017
CoRR, 2017
2016
Proceedings of the Bioinformatics and Biomedical Engineering, 2016