Francisco Javier de Cos Juez

发表

A Machine Learning Based System for Analgesic Drug Delivery

José Luís Casteleiro-Roca, Esteban Jove, José Luís Calvo-Rolle, 2017, SOCO-CISIS-ICEUTE.

An Artificial Neural Network Model for the Prediction of Bruxism by Means of Occlusal Variables

Francisco Javier de Cos Juez, Angel Álvarez-Arenal, Héctor deLlanos-Lanchares, 2017, SOCO-CISIS-ICEUTE.

Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model

P. J. García Nieto, Francisco Javier de Cos Juez, J. Martínez Torres, 2010, Math. Comput. Model..

Determining vine leaf water stress by functional data analysis

Francisco Javier de Cos Juez, Javier Martínez, C. Ordóñez Galán, 2011, Int. J. Comput. Math..

Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries

José Luís Casteleiro-Roca, José Luís Calvo-Rolle, Juan Albino Méndez Pérez, 2017, Sensors.

Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance

José Antonio López-Vázquez, José Luís Casteleiro-Roca, José Luís Calvo-Rolle, 2020, Log. J. IGPL.

Solvency Assessment in an Unbalanced Sample

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier de Andrés, 2011, KMIS.

Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

P. J. García Nieto, Esperanza García Gonzalo, Francisco Javier de Cos Juez, 2015, Reliab. Eng. Syst. Saf..

Comparative Study of Neural Network Frameworks for the Next Generation of Adaptive Optics Systems

Francisco Javier de Cos Juez, Francisco Javier Díaz Pernas, Mario Martínez-Zarzuela, 2017, Sensors.

Study of posterolateral lumbar arthrodesis by means of a finite element model

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2009, Math. Comput. Model..

Radon Mitigation Approach in a Laboratory Measurement Room

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Patricia Rodríguez-Ribalta, 2017, Sensors.

Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Dolors Sala, 2018, HAIS.

Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model

P. J. García Nieto, Francisco Javier de Cos Juez, P. J. García Nieto, 2012, Int. J. Comput. Math..

An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia

José Luís Casteleiro-Roca, José Luís Calvo-Rolle, Juan Albino Méndez Pérez, 2016, SOCO-CISIS-ICEUTE.

Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier de Andrés, 2011, Expert Syst. Appl..

A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2016, Sensors.

A New Way to Improve Subject Selection in Engineering Degree Studies

José Antonio López-Vázquez, José Luís Casteleiro-Roca, José Luís Calvo-Rolle, 2015, CISIS-ICEUTE.

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

Francisco Javier de Cos Juez, Nieves Roqueñí Gutiérrez, David Calvo, 2018, Sensors.

Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2014, Appl. Math. Comput..

Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS)

Juan A. Méndez, Francisco Javier de Cos Juez, José Ramón Villar, 2019, Neural Computing and Applications.

An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Nieves Roqueñí Gutiérrez, 2012, Sensors.

Prediction of work-related accidents according to working conditions using support vector machines

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2011, Appl. Math. Comput..

A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines

Francisco Javier de Cos Juez, Javier Roca-Pardiñas, Fernando Sánchez Lasheras, 2019, J. Comput. Appl. Math..

Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation

José Luís Casteleiro-Roca, Esteban Jove, José Luís Calvo-Rolle, 2017, J. Sensors.

Erratum: Rogada, J.R.; et al. Comparative Modeling of a Parabolic Trough Collectors Solar Power Plant with MARS Models. Energies 2018, 11, 37

Francisco Javier de Cos Juez, J. A. Martinez, Lourdes A. Barcia, 2018, Energies.

Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines

P. J. García Nieto, Esperanza García Gonzalo, Francisco Javier de Cos Juez, 2020, HAIS.

A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines

P. J. García Nieto, Víctor M. González Suárez, Ricardo Mayo Bayón, 2015, Sensors.

Modelling the hypnotic patient response in general anaesthesia using intelligent models

José Luís Casteleiro-Roca, Esteban Jove, José Luís Calvo-Rolle, 2018, Log. J. IGPL.

A Parametric Model of the LARCODEMS Heavy Media Separator by Means of Multivariate Adaptive Regression Splines

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Mario Menéndez Álvarez, 2017, Materials.

Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2012, Appl. Math. Comput..

Evolutionary Algorithm for Pathways Detection in GWAS Studies

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Vicente Martín Sánchez, 2019, HAIS.

Atmospheric Tomography Using Convolutional Neural Networks

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Carlos González-Gutiérrez, 2020, IDEAL.

Battery State-of-Charge Estimator Using the MARS Technique

Francisco Javier de Cos Juez, Cecilio Blanco Viejo, Fernando Las-Heras, 2013 .

Comparative Modeling of a Parabolic Trough Collectors Solar Power Plant with MARS Models

Francisco Javier de Cos Juez, Lourdes A. Barcia, Jose Ramón Rogada, 2017 .

Using artificial neural networks (ANN) for open-loop tomography

Francisco Javier de Cos Juez, Dani Guzman, Timothy Butterley, 2011 .

A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy

Francisco Javier de Cos Juez, Javier de Andrés, Pedro Lorca, 2011 .

Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2008, Appl. Math. Comput..

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

Francisco Javier de Cos Juez, Vicente Martín Sánchez, Juan Enrique Sánchez Lasheras, 2020, SOCO-CISIS-ICEUTE.

An Intelligent Model to Predict ANI in Patients Undergoing General Anesthesia

José Luís Casteleiro-Roca, Esteban Jove, José Luís Calvo-Rolle, 2017, SOCO-CISIS-ICEUTE.

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

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, M. A. Suárez Suárez, 2011, Math. Comput. Model..

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

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2009, Int. J. Comput. Math..

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2014, Sensors.

Attempts Prediction by Missing Data Imputation in Engineering Degree

José Antonio López-Vázquez, José Luís Casteleiro-Roca, Esteban Jove, 2017, SOCO-CISIS-ICEUTE.

Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women

P. J. García Nieto, Francisco Javier de Cos Juez, J. M. Matías Fernández, 2009, Math. Comput. Model..

Artificial neural networks applied to cancer detection in a breast screening programme

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, L. Álvarez Menéndez, 2010, Math. Comput. Model..

Remifentanil Dose Prediction for Patients During General Anesthesia

Héctor Quintián-Pardo, José Luís Casteleiro-Roca, Esteban Jove, 2018, HAIS.

Special issue: artificial intelligence and machine learning applications in Health Sciences

Francisco Javier de Cos Juez, 2019, J. Exp. Theor. Artif. Intell..

New adaptive optics Tomographic Pupil Image reconstructor based on convolutional neural networks

A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks

Francisco Javier de Cos Juez, P. J. García Nieto, Juan Enrique Sánchez Lasheras, 2018, Neural Computing and Applications.

A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier de Andrés, 2012, Expert Syst. Appl..

Experience with Artificial Neural Networks applied in Multi-object Adaptive Optics

Francisco Javier de Cos Juez, Tim Morris, James Osborn, 2019 .

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

Francisco Javier de Cos Juez, Francisco Javier Iglesias-Rodríguez, Jesús Daniel Santos Rodríguez, 2017, Entropy.

Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications

Francisco Javier de Cos Juez, Javier Roca-Pardiñas, Carlos Cabo, 2019, Sensors.

Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, C. Ordóñez Galán, 2017, J. Comput. Appl. Math..

Convolutional CARMEN: Tomographic Reconstruction for Night Observation

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Carlos González-Gutiérrez, 2019, HAIS.

A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2015, Sensors.

Comparison of GPS observations made in a forestry setting using functional data analysis

Francisco Javier de Cos Juez, Javier Martínez, Fernando Sánchez Lasheras, 2012, Int. J. Comput. Math..

Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree

José Antonio López-Vázquez, José Luís Casteleiro-Roca, José Luís Calvo-Rolle, 2016, HAIS.

Missing data imputation over academic records of electrical engineering students

José Antonio López-Vázquez, Héctor Quintián-Pardo, José Luís Casteleiro-Roca, 2019, Log. J. IGPL.

Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Carlos González-Gutiérrez, 2018, Complex..

Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Carlos González-Gutiérrez, 2016, ISDA.

Rapid tomographic reconstruction through GPU-based adaptive optics

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Carlos González-Gutiérrez, 2019, Log. J. IGPL.

Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations

Francisco Javier de Cos Juez, Carlos González-Gutiérrez, Francisco Javier Iglesias-Rodríguez, 2020, HAIS.

Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia

Héctor Quintián-Pardo, José Luís Casteleiro-Roca, Esteban Jove, 2020, Log. J. IGPL.

Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms

Francisco Javier de Cos Juez, Juan Enrique Sánchez Lasheras, Camilo Palazuelos, 2020, Neurocomputing.

Using GPUs to Speed up a Tomographic Reconstructor Based on Machine Learning

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Carlos González-Gutiérrez, 2016, SOCO-CISIS-ICEUTE.

Editorial: Special issue HAIS 2018

Héctor Quintián-Pardo, Emilio Corchado, Francisco Javier de Cos Juez, 2021, Log. J. IGPL.

Deformable mirror model for open-loop adaptive optics using multivariate adaptive regression splines.

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Richard Myers, 2010, Optics express.