Francisco Javier de Cos Juez

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 47

Top Topics

Multivariate Adaptive Regression Splines

Missing Data Imputation

Machine Learning

Top Venues

SOCO-CISIS-ICEUTE

Publications

Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Saúl Pérez Fernández, Francisco Javier de Cos Juez
Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks. CoRR (2024)
Julia María Fernández, Susana del Carmen Fernández, Enrique Diez, Noemi Pinilla-Alonso, Saúl Pérez, Santiago Iglesias, Alejandro Buendía, Javier Rodríguez, Francisco Javier de Cos Juez
Lunar Lithium-7 Sensing (δ7Li): Spectral Patterns and Artificial Intelligence Techniques. Sensors 24 (12) (2024)
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Saúl Pérez Fernández, Francisco Javier de Cos Juez
Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks. Axioms 13 (2) (2024)
Susana del Carmen Fernández, Fernando Alberquilla, Julia María Fernández, Enrique Díez Alonso, Javier Rodríguez Rodríguez, Rubén Muñiz, Javier F. Calleja, Francisco Javier de Cos Juez, Jesus Martinez-Frias
Lunar Surface Resource Exploration: Tracing Lithium, 7 Li and Black Ice Using Spectral Libraries and Apollo Mission Samples. Remote. Sens. 16 (7) (2024)
Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Francisco Javier de Cos Juez, Héctor Alaiz-Moretón, Dragan Simic, Oscar Fontenla-Romero, José Luís Calvo-Rolle
Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. DCAI (3) (2023)
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
One-Dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets. Axioms 12 (4) (2023)
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Saúl Pérez Fernández, Ronny Steveen Anangonó Tutasig, Carlos González-Gutiérrez, Alejandro Buendía Roca, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Transiting Exoplanet Detection Through 1D Convolutional Neural Networks. DCAI (3) (2023)
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets. CoRR (2023)
Saúl Pérez Fernández, Alejandro Buendía Roca, Carlos González-Gutiérrez, Javier Rodríguez Rodríguez, Santiago Iglesias Álvarez, Ronny Anangonó Tutasig, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction. SOCO (2) (2023)
Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón, Gemma Castaño-Vinyals, Camilo Palazuelos, Dolores Salas, Vicente Martín Sánchez, Francisco Javier de Cos Juez
Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms. Neurocomputing 452 (2021)
Esteban Jove, Jose M. Gonzalez-Cava, José Luís Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez Pérez, Rafael Vega Vega, Francisco Zayas-Gato, Francisco Javier de Cos Juez, Ana León, María Martín, José Antonio Reboso, Michal Wozniak, José Luís Calvo-Rolle
Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia. Log. J. IGPL 29 (2) (2021)
José Ramón Villar Flecha, Enrique A. de la Cal, Francisco Javier de Cos Juez, Héctor Quintián, Emilio Corchado
Editorial: Special issue HAIS 2018. Log. J. IGPL 29 (2) (2021)
Francisco Javier de Cos Juez, Michal Wozniak, Juan Albino Méndez, José Ramón Villar Flecha
Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS). Neural Comput. Appl. 32 (5) (2020)
Carlos González-Gutiérrez, O. Beltramo-Martin, J. Osborn, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Atmospheric Tomography Using Convolutional Neural Networks. IDEAL (2) (2020)
Francisco García Riesgo, Sergio Luis Suárez Gómez, Jesús Daniel Santos Rodríguez, Carlos González-Gutiérrez, Enrique Díez Alonso, Francisco Javier Iglesias-Rodríguez, Pedro Riesgo Fernández, Laura Bonavera, Susana del Carmen Fernández Menéndez, Francisco Javier de Cos Juez
Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations. HAIS (2020)
Concepción Crespo-Turrado, José Luís Casteleiro-Roca, Fernando Sánchez Lasheras, José Antonio López-Vázquez, Francisco Javier de Cos Juez, Francisco Javier Perez Castelo, José Luís Calvo-Rolle, Emilio Corchado
Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance. Log. J. IGPL 28 (1) (2020)
Angel Álvarez-Arenal, Héctor deLlanos-Lanchares, Elena Martín Fernández, Mario Mauvezin-Quevedo, María Luisa Sánchez Rodríguez, Francisco Javier de Cos Juez
An artificial neural network model for the prediction of bruxism by means of occlusal variables. Neural Comput. Appl. 32 (5) (2020)
Juan Enrique Sánchez Lasheras, Carmen González-Donquiles, Paulino José García Nieto, José Juan Jiménez Moleon, Dolores Salas-Trejo, Sergio Luis Suárez Gómez, Antonio J. Molina de la Torre, Joaquín González-Nuevo, Laura Bonavera, Jorge Carballido-Landeira, Francisco Javier de Cos Juez
A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks. Neural Comput. Appl. 32 (5) (2020)
Fernando Sánchez Lasheras, Paulino José García Nieto, Esperanza García Gonzalo, Francisco Argüeso Gómez, Francisco Javier Iglesias-Rodríguez, Ana Suárez Sánchez, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Joaquín González-Nuevo, Laura Bonavera, Luigi Toffolatti, Susana del Carmen Fernández Menéndez, Francisco Javier de Cos Juez
Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines. HAIS (2020)
Esteban Jove, Patricia Blanco-Rodríguez, José Luís Casteleiro-Roca, Héctor Quintián, Francisco Javier Moreno Arboleda, José Antonio López-Vázquez, Benigno Antonio Rodríguez-Gómez, María del Carmen Meizoso-López, Andrés José Piñón Pazos, Francisco Javier de Cos Juez, Sung-Bae Cho, José Luís Calvo-Rolle
Missing data imputation over academic records of electrical engineering students. Log. J. IGPL 28 (4) (2020)
Celestino Ordóñez, Fernando Sánchez Lasheras, Javier Roca-Pardiñas, Francisco Javier de Cos Juez
A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines. J. Comput. Appl. Math. 346 (2019)
Francisco Javier de Cos Juez
Special issue: artificial intelligence and machine learning applications in Health Sciences. J. Exp. Theor. Artif. Intell. 31 (6) (2019)
Carlos González-Gutiérrez, María Luisa Sánchez Rodríguez, Ramón Ángel Fernández Díaz, José Luís Calvo-Rolle, Nieves Roqueñí Gutiérrez, Francisco Javier de Cos Juez
Rapid tomographic reconstruction through GPU-based adaptive optics. Log. J. IGPL 27 (2) (2019)
Carlos Cabo, Celestino Ordóñez, Fernando Sánchez Lasheras, Javier Roca-Pardiñas, Francisco Javier de Cos Juez
Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications. Sensors 19 (20) (2019)
Francisco García Riesgo, Sergio Luis Suárez Gómez, Fernando Sánchez Lasheras, Carlos González-Gutiérrez, Carmen Peñalver San Cristóbal, Francisco Javier de Cos Juez
Convolutional CARMEN: Tomographic Reconstruction for Night Observation. HAIS (2019)
Esteban Jove, Jose M. Gonzalez-Cava, José Luís Casteleiro-Roca, Juan Albino Méndez Pérez, José Antonio Reboso-Morales, Francisco Javier Perez Castelo, Francisco Javier de Cos Juez, José Luís Calvo-Rolle
Modelling the hypnotic patient response in general anaesthesia using intelligent models. Log. J. IGPL 27 (2) (2019)
Fidel Díez Díaz, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Vicente Martín Sánchez
Evolutionary Algorithm for Pathways Detection in GWAS Studies. HAIS (2019)
Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón, Gemma Castaño Vynals, Beatriz Pérez-Gómez, Camilo Palazuelos, Dolors Sala, Francisco Javier de Cos Juez
Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms. HAIS (2018)
Daniel García Iglesias, Nieves Roqueñí Gutiérrez, Francisco Javier de Cos Juez, David Calvo
Analysis of the High-Frequency Content in Human QRS Complexes by the Continuous Wavelet Transform: An Automatized Analysis for the Prediction of Sudden Cardiac Death. Sensors 18 (2) (2018)
Esteban Jove, Jose M. Gonzalez-Cava, José Luís Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez Pérez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Ana León, María Martín, José Antonio Reboso
Remifentanil Dose Prediction for Patients During General Anesthesia. HAIS (2018)
Carlos González-Gutiérrez, María Luisa Sánchez Rodríguez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics. Complex. 2018 (2018)
Patricia Rodríguez-Ribalta, Luis Alfonso Fernández-Serantes, Alberto Otero-Pazos, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Radon Mitigation Approach in a Laboratory Measurement Room. Sensors 17 (5) (2017)
José Luís Casteleiro-Roca, José Luís Calvo-Rolle, Juan Albino Méndez Pérez, Nieves Roqueñí Gutiérrez, Francisco Javier de Cos Juez
Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries. Sensors 17 (1) (2017)
Jose M. Gonzalez-Cava, Rafael Arnay, Juan Albino Méndez Pérez, Ana León, María Martín, Esteban Jove, José Luís Calvo-Rolle, José Luís Casteleiro-Roca, Francisco Javier de Cos Juez
A Machine Learning Based System for Analgesic Drug Delivery. SOCO-CISIS-ICEUTE (2017)
Juan Enrique Sánchez Lasheras, Adonina Tardón, Guillermo González Tardón, Sergio Luis Suárez Gómez, Vicente Martín Sánchez, Carmen González-Donquiles, Francisco Javier de Cos Juez
A Methodology for the Detection of Relevant Single Nucleotide Polymorphism in Prostate Cancer by Means of Multivariate Adaptive Regression Splines and Backpropagation Artificial Neural Networks. SOCO-CISIS-ICEUTE (2017)
Esteban Jove, Patricia Blanco-Rodríguez, José Luís Casteleiro-Roca, Javier Moreno-Arboleda, José Antonio López-Vázquez, Francisco Javier de Cos Juez, José Luís Calvo-Rolle
Attempts Prediction by Missing Data Imputation in Engineering Degree. SOCO-CISIS-ICEUTE (2017)
Carlos González-Gutiérrez, Jesús Daniel Santos Rodríguez, Mario Martínez-Zarzuela, Alastair G. Basden, James Osborn, Francisco Javier Díaz Pernas, Francisco Javier de Cos Juez
Comparative Study of Neural Network Frameworks for the Next Generation of Adaptive Optics Systems. Sensors 17 (6) (2017)
José Luís Casteleiro-Roca, Esteban Jove, Fernando Sánchez Lasheras, Juan A. Méndez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. J. Sensors 2017 (2017)
Esteban Jove, Jose M. Gonzalez-Cava, José Luís Casteleiro-Roca, Juan Albino Méndez Pérez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
An Intelligent Model to Predict ANI in Patients Undergoing General Anesthesia. SOCO-CISIS-ICEUTE (2017)
Celestino Ordóñez Galán, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Antonio Bernardo Sánchez
Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions. J. Comput. Appl. Math. 311 (2017)
Angel Álvarez-Arenal, Héctor deLlanos-Lanchares, Elena Martín Fernández, Carlos González-Gutiérrez, Mario Mauvezin-Quevedo, Francisco Javier de Cos Juez
An Artificial Neural Network Model for the Prediction of Bruxism by Means of Occlusal Variables. SOCO-CISIS-ICEUTE (2017)
Sergio Luis Suárez Gómez, Jesús Daniel Santos Rodríguez, Francisco Javier Iglesias-Rodríguez, Francisco Javier de Cos Juez
Analysis of the Temporal Structure Evolution of Physical Systems with the Self-Organising Tree Algorithm (SOTA): Application for Validating Neural Network Systems on Adaptive Optics Data before On-Sky Implementation. Entropy 19 (3) (2017)
Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks. ISDA (2016)
José Luís Casteleiro-Roca, Juan Albino Méndez Pérez, José Antonio Reboso-Morales, Francisco Javier de Cos Juez, Francisco Javier Perez Castelo, José Luís Calvo-Rolle
An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia. SOCO-CISIS-ICEUTE (2016)
Carlos González-Gutiérrez, Jesús Daniel Santos Rodríguez, Ramón Ángel Fernández Díaz, José Luís Calvo-Rolle, Nieves Roqueñí Gutiérrez, Francisco Javier de Cos Juez
Using GPUs to Speed up a Tomographic Reconstructor Based on Machine Learning. SOCO-CISIS-ICEUTE (2016)
Concepción Crespo-Turrado, José Luís Casteleiro-Roca, Fernando Sánchez Lasheras, José Antonio López-Vázquez, Francisco Javier de Cos Juez, José Luís Calvo-Rolle, Emilio Corchado
Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree. HAIS (2016)
Concepción Crespo-Turrado, Fernando Sánchez Lasheras, José Luís Calvo-Rolle, Andrés José Piñón Pazos, Manuel G. Melero, Francisco Javier de Cos Juez
A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers. Sensors 16 (9) (2016)
Concepción Crespo-Turrado, Fernando Sánchez Lasheras, José Luís Calvo-Rolle, Andrés José Piñón Pazos, Francisco Javier de Cos Juez
A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers. Sensors 15 (12) (2015)
Fernando Sánchez Lasheras, Paulino José García Nieto, Francisco Javier de Cos Juez, Ricardo Mayo Bayón, Víctor Manuel González Suárez
A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines. Sensors 15 (3) (2015)
José Antonio López-Vázquez, José Antonio Orosa, José Luís Calvo-Rolle, Francisco Javier de Cos Juez, José Luís Casteleiro-Roca, Angel Martín Costa
A New Way to Improve Subject Selection in Engineering Degree Studies. CISIS-ICEUTE (2015)
P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability. Reliab. Eng. Syst. Saf. 138 (2015)
Fernando Sánchez Lasheras, P. J. García Nieto, Francisco Javier de Cos Juez, J. A. Vilán Vilán
Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process. Appl. Math. Comput. 227 (2014)
Concepción Crespo-Turrado, María del Carmen Meizoso-López, Fernando Sánchez Lasheras, Benigno Antonio Rodríguez-Gómez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions. Sensors 14 (11) (2014)
C. Ordóñez Galán, Javier Martínez, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
Comparison of GPS observations made in a forestry setting using functional data analysis. Int. J. Comput. Math. 89 (3) (2012)
Fernando Sánchez Lasheras, Javier de Andrés, Pedro Lorca, Francisco Javier de Cos Juez
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy. Expert Syst. Appl. 39 (8) (2012)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Ana Suárez Sánchez, P. Riesgo Fernández, P. J. García Nieto
Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model. Int. J. Comput. Math. 89 (13-14) (2012)
P. J. García Nieto, J. Martínez Torres, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus. Appl. Math. Comput. 219 (2) (2012)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Nieves Roqueñí Gutiérrez, James Osborn
An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment. Sensors 12 (7) (2012)
Francisco Javier de Cos Juez, Miguel Ángel Suárez Suárez, Fernando Sánchez Lasheras, A. Murcia-Mazón
Application of neural networks to the study of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women. Math. Comput. Model. 54 (7-8) (2011)
Javier de Andrés, Pedro Lorca, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Solvency Assessment in an Unbalanced Sample. KMIS (2011)
Javier de Andrés, Pedro Lorca, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS). Expert Syst. Appl. 38 (3) (2011)
Ana Suárez Sánchez, P. Riesgo Fernández, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, P. J. García Nieto
Prediction of work-related accidents according to working conditions using support vector machines. Appl. Math. Comput. 218 (7) (2011)
C. Ordóñez Galán, Javier Martínez, Francisco Javier de Cos Juez, F. Sánchez
Determining vine leaf water stress by functional data analysis. Int. J. Comput. Math. 88 (9) (2011)
L. Álvarez Menéndez, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, J. A. Álvarez Riesgo
Artificial neural networks applied to cancer detection in a breast screening programme. Math. Comput. Model. 52 (7-8) (2010)
Francisco Javier de Cos Juez, P. J. García Nieto, J. Martínez Torres, Javier Taboada Castro
Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model. Math. Comput. Model. 52 (7-8) (2010)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, C. Ordóñez Galán, P. J. García Nieto
Study of posterolateral lumbar arthrodesis by means of a finite element model. Math. Comput. Model. 50 (5-6) (2009)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, P. J. García Nieto, Miguel Ángel Suárez Suárez
A new data mining methodology applied to the modelling of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women. Int. J. Comput. Math. 86 (10&11) (2009)
C. Ordóñez Galán, J. M. Matías Fernández, Francisco Javier de Cos Juez, P. J. García Nieto
Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women. Math. Comput. Model. 50 (5-6) (2009)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, P. J. García Nieto, Angel Álvarez-Arenal
Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM. Appl. Math. Comput. 206 (2) (2008)