Full Body Gesture Recognition for Human-Machine Interaction in Intelligent Spaces. - David Casillas-Perez; Javier Macías Guarasa; Marta Marrón Romera; David Fuentes-Jiménez; Alvaro Fernandez-Rincon (IWBBIO, 2016)

Solutions of Quadratic First-Order ODEs applied to Computer Vision Problems. - David Casillas-Perez; Daniel Pizarro 001 (CoRR, 2017)

Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image. - David Fuentes-Jiménez; David Casillas-Pérez; Daniel Pizarro-Pérez; Toby Collins; Adrien Bartoli (CoRR, 2018)

Equiareal Shape-from-Template. - David Casillas-Perez; Daniel Pizarro 001; David Fuentes-Jiménez; Manuel Mazo 001; Adrien Bartoli (J. Math. Imaging Vis., 2019)

Weighted ABG: A General Framework for Optimal Combination of ABG Path-Loss Propagation Models. - David Casillas-Perez; Carlos Camacho-Gómez; Silvia Jiménez-Fernández; José Antonio Portilla-Figueras; Sancho Salcedo-Sanz (IEEE Access, 2020)

DPDnet: A robust people detector using deep learning with an overhead depth camera. - David Fuentes-Jiménez; Roberto Martín-López; Cristina Losada-Gutiérrez; David Casillas-Perez; Javier Macías Guarasa; Carlos Andrés Luna Vázquez; Daniel Pizarro 001 (Expert Syst. Appl., 2020)

Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain. - Sara Cornejo-Bueno; David Casillas-Pérez; Laura Cornejo-Bueno; Mihaela I. Chidean; Antonio J. Caamaño; Julia Sanz-Justo; Carlos Casanova-Mateo; Sancho Salcedo-Sanz (Symmetry, 2020)

ML algorithms for the assessment of prescribed physical exercises. - Sara García de Villa; Andrea Martínez Parra; Ana Jiménez Martín; Juan Jesús García Domínguez; David Casillas-Perez (MeMeA, 2021)

A Survey on Machine Learning Techniques for Routing Optimization in SDN. - Rashid Amin; Elisa Rojas; Aqsa Aqdus; Sadia Ramzan; David Casillas-Perez; José M. Arco (IEEE Access, 2021)

Texture-Generic Deep Shape-From-Template. - David Fuentes-Jiménez; Daniel Pizarro 001; David Casillas-Perez; Toby Collins; Adrien Bartoli (IEEE Access, 2021)

Towards dense people detection with deep learning and depth images. - David Fuentes-Jiménez; Cristina Losada-Gutiérrez; David Casillas-Perez; Javier Macías Guarasa; Daniel Pizarro 001; Roberto Martín-López; Carlos A. Luna (Eng. Appl. Artif. Intell., 2021)

The Isowarp: The Template-Based Visual Geometry of Isometric Surfaces. - David Casillas-Perez; Daniel Pizarro 001; David Fuentes-Jiménez; Manuel Mazo 001; Adrien Bartoli (Int. J. Comput. Vis., 2021)

Hydro-power production capacity prediction based on machine learning regression techniques. - C. Condemi; David Casillas-Perez; Loretta Mastroeni; Silvia Jiménez-Fernández; Sancho Salcedo-Sanz (Knowl. Based Syst., 2021)

Extended Weighted ABG: A Robust Non-Linear ABG-Based Approach for Optimal Combination of ABG Path-Loss Propagation Models. - David Casillas-Pérez; Daniel Merino-Pérez; Silvia Jiménez-Fernández; José Antonio Portilla-Figueras; Sancho Salcedo-Sanz (IEEE Access, 2022)

Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories. - Alejandro M. Hernández-Díaz; Jorge Pérez-Aracil; David Casillas-Perez; Emiliano Pereira; Sancho Salcedo-Sanz (Appl. Soft Comput., 2022)

Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives. - Javier Del Ser; David Casillas-Perez; Laura Cornejo-Bueno; Luis Prieto-Godino; Julia Sanz-Justo; Carlos Casanova-Mateo; Sancho Salcedo-Sanz (Appl. Soft Comput., 2022)

Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. - Sancho Salcedo-Sanz; Jorge Pérez-Aracil; Guido Ascenso; Javier Del Ser; David Casillas-Pérez; Christopher Kadow; Dusan Fister; David Barriopedro; Ricardo García-Herrera; Marcello Restelli; Matteo Giuliani; Andrea Castelletti (CoRR, 2022)

Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia. - Sujan Ghimire; Binayak Bhandari; David Casillas-Pérez; Ravinesh C. Deo; Sancho Salcedo-Sanz (Eng. Appl. Artif. Intell., 2022)

Simultaneous exercise recognition and evaluation in prescribed routines: Approach to virtual coaches. - Sara García de Villa; David Casillas-Pérez; Ana Jiménez Martín; Juan Jesús García Domínguez (Expert Syst. Appl., 2022)

Deep Shape-from-Template: Single-image quasi-isometric deformable registration and reconstruction. - David Fuentes-Jiménez; Daniel Pizarro 001; David Casillas-Pérez; Toby Collins; Adrien Bartoli (Image Vis. Comput., 2022)

3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information. - Adrian Sanchez-Caballero; Sergio de López Diz; David Fuentes-Jiménez; Cristina Losada-Gutiérrez; Marta Marrón Romera; David Casillas-Pérez; Mohammad Ibrahim Sarker (Multim. Tools Appl., 2022)

Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images. - Sagthitharan Karalasingham; Ravinesh C. Deo; David Casillas-Pérez; Nawin Raj; Sancho Salcedo-Sanz (IEEE Access, 2023)

A Flexible Architecture Using Temporal, Spatial and Semantic Correlation-Based Algorithms for Story Segmentation of Broadcast News. - Alberto Palomo-Alonso; David Casillas-Pérez; Silvia Jiménez-Fernández; José Antonio Portilla-Figueras; Sancho Salcedo-Sanz (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Inertial Sensors for Human Motion Analysis: A Comprehensive Review. - Sara García de Villa; David Casillas-Pérez; Ana Jiménez Martín; Juan Jesús García Domínguez (IEEE Trans. Instrum. Meas., 2023)

Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. - Sujan Ghimire; Thong Nguyen-Huy; Ramendra Prasad; Ravinesh C. Deo; David Casillas-Pérez; Sancho Salcedo-Sanz; Binayak Bhandari (Cogn. Comput., 2023)

Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction. - Salvin S. Prasad; Ravinesh C. Deo; Sancho Salcedo-Sanz; Nathan J. Downs; David Casillas-Pérez; Alfio V. Parisi (Comput. Methods Programs Biomed., 2023)

Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. - Lionel P. Joseph; Ravinesh C. Deo; David Casillas-Pérez; Ramendra Prasad; Nawin Raj; Sancho Salcedo-Sanz (IEEE Access, 2024)

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. - Sujan Ghimire; Ravinesh C. Deo; David Casillas-Pérez; Sancho Salcedo-Sanz; S. Ali Pourmousavi; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. - Sujan Ghimire; Ravinesh C. Deo; S. Ali Pourmousavi; David Casillas-Pérez; Sancho Salcedo-Sanz (Eng. Appl. Artif. Intell., 2024)

CoSeNet: A novel approach for optimal segmentation of correlation matrices. - Alberto Palomo-Alonso; David Casillas-Perez; Silvia Jiménez-Fernández; Antonio Portilla-Figueras; Sancho Salcedo-Sanz (Digit. Signal Process., 2024)

Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model. - Salvin S. Prasad; Ravinesh C. Deo; Nathan J. Downs; David Casillas-Pérez; Sancho Salcedo-Sanz; Alfio V. Parisi (Expert Syst. Appl., 2024)

A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system. - Luis M. Moreno-Saavedra; Silvia Jiménez-Fernández; José Antonio Portilla-Figueras; David Casillas-Pérez; Sancho Salcedo-Sanz (Comput. Oper. Res., 2024)

Collaboration and competition spatial complex networks in regional science. - Sancho Salcedo-Sanz; Sara Cornejo-Bueno; David Casillas-Perez; Carlos Camacho-Gómez; Lucas Cuadra; Mihaela I. Chidean; Antonio J. Caamaño (J. Ambient Intell. Humaniz. Comput., 2024)

Advanced Machine Learning Techniques for Explainable Detection of Knee Injuries in Runners. - David Fuentes-Jiménez; Sara García de Villa; David Casillas-Pérez; Pablo Floría 001; Francisco Manuel Melgarejo-Meseguer (MeMeA, 2025)