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Journal Articles
- 2024
[j28]Lionel P. Joseph
, Ravinesh C. Deo, David Casillas-Pérez, Ramendra Prasad, Nawin Raj, Sancho Salcedo-Sanz:
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. IEEE Access 12: 58750-58777 (2024)- [j27]Luis M. Moreno-Saavedra, Silvia Jiménez-Fernández, José Antonio Portilla-Figueras, David Casillas-Pérez, Sancho Salcedo-Sanz:
A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system. Comput. Oper. Res. 163: 106516 (2024) - [j26]Alberto Palomo-Alonso, David Casillas-Perez, Silvia Jiménez-Fernández, Antonio Portilla-Figueras, Sancho Salcedo-Sanz:
CoSeNet: A novel approach for optimal segmentation of correlation matrices. Digit. Signal Process. 144: 104270 (2024) - [j25]Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, S. Ali Pourmousavi, U. Rajendra Acharya:
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Eng. Appl. Artif. Intell. 132: 107918 (2024) - [j24]Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, David Casillas-Pérez, Sancho Salcedo-Sanz:
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. Eng. Appl. Artif. Intell. 135: 108702 (2024) - [j23]Salvin S. Prasad, Ravinesh C. Deo, Nathan J. Downs, David Casillas-Pérez, Sancho Salcedo-Sanz, Alfio V. Parisi:
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model. Expert Syst. Appl. 236: 121273 (2024) - [j22]Sancho Salcedo-Sanz, Sara Cornejo-Bueno, David Casillas-Perez, Carlos Camacho-Gómez, Lucas Cuadra, Mihaela I. Chidean, Antonio J. Caamaño:
Collaboration and competition spatial complex networks in regional science. J. Ambient Intell. Humaniz. Comput. 15(3): 1995-2008 (2024) - 2023
- [j21]Sagthitharan Karalasingham, Ravinesh C. Deo, David Casillas-Pérez, Nawin Raj, Sancho Salcedo-Sanz:
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images. IEEE Access 11: 5558-5577 (2023) - [j20]Salvin S. Prasad, Ravinesh C. Deo, Sancho Salcedo-Sanz, Nathan J. Downs, David Casillas-Pérez, Alfio V. Parisi:
Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction. Comput. Methods Programs Biomed. 241: 107737 (2023) - [j19]Sujan Ghimire, Thong Nguyen-Huy, Ramendra Prasad, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, Binayak Bhandari:
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. Cogn. Comput. 15(2): 645-671 (2023) - [j18]Alberto Palomo-Alonso, David Casillas-Pérez, Silvia Jiménez-Fernández, José Antonio Portilla-Figueras, Sancho Salcedo-Sanz:
A Flexible Architecture Using Temporal, Spatial and Semantic Correlation-Based Algorithms for Story Segmentation of Broadcast News. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3055-3069 (2023) - [j17]Sara García de Villa, David Casillas-Pérez, Ana Jiménez Martín, Juan Jesús García Domínguez:
Inertial Sensors for Human Motion Analysis: A Comprehensive Review. IEEE Trans. Instrum. Meas. 72: 1-39 (2023) - 2022
- [j16]David Casillas-Pérez, Daniel Merino-Pérez, Silvia Jiménez-Fernández, José Antonio Portilla-Figueras, Sancho Salcedo-Sanz:
Extended Weighted ABG: A Robust Non-Linear ABG-Based Approach for Optimal Combination of ABG Path-Loss Propagation Models. IEEE Access 10: 75219-75233 (2022) - [j15]Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives. Appl. Soft Comput. 118: 108526 (2022) - [j14]Alejandro M. Hernández-Díaz, Jorge Pérez-Aracil, David Casillas-Perez, Emiliano Pereira, Sancho Salcedo-Sanz:
Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories. Appl. Soft Comput. 130: 109654 (2022) - [j13]Sujan Ghimire, Binayak Bhandari, David Casillas-Pérez, Ravinesh C. Deo, Sancho Salcedo-Sanz:
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia. Eng. Appl. Artif. Intell. 112: 104860 (2022) - [j12]Sara García de Villa, David Casillas-Pérez, Ana Jiménez Martín, Juan Jesús García Domínguez:
Simultaneous exercise recognition and evaluation in prescribed routines: Approach to virtual coaches. Expert Syst. Appl. 199: 116990 (2022) - [j11]David Fuentes-Jiménez, Daniel Pizarro, David Casillas-Pérez, Toby Collins, Adrien Bartoli:
Deep Shape-from-Template: Single-image quasi-isometric deformable registration and reconstruction. Image Vis. Comput. 127: 104531 (2022) - [j10]Adrian Sanchez-Caballero, Sergio de López Diz, David Fuentes-Jiménez, Cristina Losada-Gutiérrez, Marta Marrón Romera, David Casillas-Pérez, Mohammad Ibrahim Sarker:
3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information. Multim. Tools Appl. 81(17): 24119-24143 (2022) - 2021
- [j9]David Fuentes-Jiménez, Daniel Pizarro, David Casillas-Perez, Toby Collins, Adrien Bartoli:
Texture-Generic Deep Shape-From-Template. IEEE Access 9: 75211-75230 (2021) - [j8]Rashid Amin, Elisa Rojas, Aqsa Aqdus, Sadia Ramzan, David Casillas-Perez, José M. Arco:
A Survey on Machine Learning Techniques for Routing Optimization in SDN. IEEE Access 9: 104582-104611 (2021) - [j7]David Fuentes-Jiménez, Cristina Losada-Gutiérrez, David Casillas-Perez, Javier Macías Guarasa, Daniel Pizarro, Roberto Martín-López, Carlos A. Luna:
Towards dense people detection with deep learning and depth images. Eng. Appl. Artif. Intell. 106: 104484 (2021) - [j6]David Casillas-Perez, Daniel Pizarro, David Fuentes-Jiménez, Manuel Mazo, Adrien Bartoli:
The Isowarp: The Template-Based Visual Geometry of Isometric Surfaces. Int. J. Comput. Vis. 129(7): 2194-2222 (2021) - [j5]C. Condemi, David Casillas-Perez, Loretta Mastroeni, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
Hydro-power production capacity prediction based on machine learning regression techniques. Knowl. Based Syst. 222: 107012 (2021) - 2020
- [j4]David Casillas-Perez, Carlos Camacho-Gómez, Silvia Jiménez-Fernández, José Antonio Portilla-Figueras, Sancho Salcedo-Sanz:
Weighted ABG: A General Framework for Optimal Combination of ABG Path-Loss Propagation Models. IEEE Access 8: 101758-101769 (2020) - [j3]David Fuentes-Jiménez, Roberto Martín-López, Cristina Losada-Gutiérrez, David Casillas-Perez, Javier Macías Guarasa, Carlos Andrés Luna Vázquez, Daniel Pizarro:
DPDnet: A robust people detector using deep learning with an overhead depth camera. Expert Syst. Appl. 146: 113168 (2020) - [j2]Sara Cornejo-Bueno, David Casillas-Pérez, Laura Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain. Symmetry 12(6): 1045 (2020) - 2019
- [j1]David Casillas-Perez, Daniel Pizarro, David Fuentes-Jiménez, Manuel Mazo, Adrien Bartoli:
Equiareal Shape-from-Template. J. Math. Imaging Vis. 61(5): 607-626 (2019)
Conference and Workshop Papers
- 2021
- [c2]Sara García de Villa, Andrea Martínez Parra, Ana Jiménez Martín, Juan Jesús García Domínguez, David Casillas-Perez:
ML algorithms for the assessment of prescribed physical exercises. MeMeA 2021: 1-6 - 2016
- [c1]David Casillas-Perez, Javier Macías Guarasa, Marta Marrón Romera, David Fuentes-Jiménez, Alvaro Fernandez-Rincon:
Full Body Gesture Recognition for Human-Machine Interaction in Intelligent Spaces. IWBBIO 2016: 664-676
Informal and Other Publications
- 2024
- [i9]Sara García de Villa, David Casillas-Pérez, Ana Jiménez Martín, Juan Jesús García Domínguez:
Simultaneous exercise recognition and evaluation in prescribed routines: Approach to virtual coaches. CoRR abs/2401.12857 (2024) - [i8]Sara García de Villa, David Casillas-Pérez, Ana Jiménez Martín, Juan Jesús García Domínguez:
Inertial Sensors for Human Motion Analysis: A Comprehensive Review. CoRR abs/2401.12919 (2024) - 2022
- [i7]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:
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. CoRR abs/2207.07580 (2022) - 2021
- [i6]Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives. CoRR abs/2103.14624 (2021) - 2020
- [i5]David Fuentes-Jiménez, Roberto Martín-López, Cristina Losada-Gutiérrez, David Casillas-Perez, Javier Macías Guarasa, Daniel Pizarro, Carlos A. Luna:
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera. CoRR abs/2006.01053 (2020) - [i4]Adrian Sanchez-Caballero, Sergio de López Diz, David Fuentes-Jiménez, Cristina Losada-Gutiérrez, Marta Marrón Romera, David Casillas-Perez, Mohammad Ibrahim Sarker:
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information. CoRR abs/2006.07743 (2020) - [i3]David Fuentes-Jiménez, Cristina Losada-Gutiérrez, David Casillas-Perez, Javier Macías Guarasa, Roberto Martín-López, Daniel Pizarro, Carlos A. Luna:
Towards Dense People Detection with Deep Learning and Depth images. CoRR abs/2007.07171 (2020) - 2018
- [i2]David Fuentes-Jiménez, David Casillas-Pérez, Daniel Pizarro-Pérez, Toby Collins, Adrien Bartoli:
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image. CoRR abs/1811.07791 (2018) - 2017
- [i1]David Casillas-Perez, Daniel Pizarro:
Solutions of Quadratic First-Order ODEs applied to Computer Vision Problems. CoRR abs/1710.04265 (2017)
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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