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Francisco Javier de Cos Juez
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2020 – today
- 2024
- [j46]Santiago Iglesias Álvarez
, Enrique Díez Alonso
Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks. Axioms 13(2): 83 (2024) - [j45]Susana del Carmen Fernández
Lunar Surface Resource Exploration: Tracing Lithium, 7 Li and Black Ice Using Spectral Libraries and Apollo Mission Samples. Remote. Sens. 16(7): 1306 (2024) - [j44]Julia María Fernández
Lunar Lithium-7 Sensing (δ7Li): Spectral Patterns and Artificial Intelligence Techniques. Sensors 24(12): 3931 (2024) - [i2]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 abs/2402.13673 (2024) - 2023
- [j43]Santiago Iglesias Álvarez
One-Dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets. Axioms 12(4): 348 (2023) - [c21]Álvaro Michelena
Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. DCAI (3) 2023: 1-10 - [c20]Santiago Iglesias Álvarez
Transiting Exoplanet Detection Through 1D Convolutional Neural Networks. DCAI (3) 2023: 51-60 - [c19]Saúl Pérez Fernández
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction. SOCO (2) 2023: 354-363 - [i1]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 abs/2312.07161 (2023) - 2021
- [j42]José Ramón Villar Flecha, Enrique A. de la Cal, Francisco Javier de Cos Juez, Héctor Quintián
Editorial: Special issue HAIS 2018. Log. J. IGPL 29(2): 121-123 (2021) - [j41]Esteban Jove
Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia. Log. J. IGPL 29(2): 193-206 (2021) - [j40]Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón
Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms. Neurocomputing 452: 386-394 (2021) - 2020
- [j39]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): 58-70 (2020) - [j38]Esteban Jove
Missing data imputation over academic records of electrical engineering students. Log. J. IGPL 28(4): 487-501 (2020) - [j37]Francisco Javier de Cos Juez, Michal Wozniak
Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS). Neural Comput. Appl. 32(5): 1217-1218 (2020) - [j36]Juan Enrique Sánchez Lasheras, Carmen González-Donquiles, Paulino José García Nieto, José Juan Jiménez Moleon, Dolores Salas-Trejo, Sergio Luis Suárez Gómez
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): 1231-1238 (2020) - [j35]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): 1259-1267 (2020) - [c18]Fernando Sánchez Lasheras
Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines. HAIS 2020: 73-85 - [c17]Francisco García Riesgo, Sergio Luis Suárez Gómez
Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations. HAIS 2020: 674-685 - [c16]Carlos González-Gutiérrez
Atmospheric Tomography Using Convolutional Neural Networks. IDEAL (2) 2020: 561-569
2010 – 2019
- 2019
- [j34]Esteban Jove
Modelling the hypnotic patient response in general anaesthesia using intelligent models. Log. J. IGPL 27(2): 189-201 (2019) - [j33]Carlos González-Gutiérrez
Rapid tomographic reconstruction through GPU-based adaptive optics. Log. J. IGPL 27(2): 214-226 (2019) - [j32]Celestino Ordóñez, Fernando Sánchez Lasheras
A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines. J. Comput. Appl. Math. 346: 184-191 (2019) - [j31]Francisco Javier de Cos Juez:
Special issue: artificial intelligence and machine learning applications in Health Sciences. J. Exp. Theor. Artif. Intell. 31(6): 801-802 (2019) - [j30]Carlos Cabo
Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications. Sensors 19(20): 4523 (2019) - [c15]Fidel Díez Díaz
Evolutionary Algorithm for Pathways Detection in GWAS Studies. HAIS 2019: 111-122 - [c14]Francisco García Riesgo, Sergio Luis Suárez Gómez
Convolutional CARMEN: Tomographic Reconstruction for Night Observation. HAIS 2019: 335-345 - 2018
- [j29]Carlos González-Gutiérrez
Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics. Complex. 2018: 5348265:1-5348265:9 (2018) - [j28]Daniel García Iglesias
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): 560 (2018) - [c13]Esteban Jove
Remifentanil Dose Prediction for Patients During General Anesthesia. HAIS 2018: 537-546 - [c12]Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón
Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms. HAIS 2018: 547-557 - [e1]Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José Antonio Sáez, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings. Lecture Notes in Computer Science 10870, Springer 2018, ISBN 978-3-319-92638-4 [contents] - 2017
- [j27]Sergio Luis Suárez Gómez
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): 103 (2017) - [j26]Celestino Ordóñez Galán
Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions. J. Comput. Appl. Math. 311: 704-717 (2017) - [j25]José Luís Casteleiro-Roca
Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. J. Sensors 2017: 9640546:1-9640546:10 (2017) - [j24]José Luís Casteleiro-Roca
Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries. Sensors 17(1): 179 (2017) - [j23]Patricia Rodríguez-Ribalta, Luis Alfonso Fernández-Serantes, Alberto Otero-Pazos
Radon Mitigation Approach in a Laboratory Measurement Room. Sensors 17(5): 1090 (2017) - [j22]Carlos González-Gutiérrez
Comparative Study of Neural Network Frameworks for the Next Generation of Adaptive Optics Systems. Sensors 17(6): 1263 (2017) - [c11]Esteban Jove
Attempts Prediction by Missing Data Imputation in Engineering Degree. SOCO-CISIS-ICEUTE 2017: 167-176 - [c10]Angel Álvarez-Arenal, Héctor deLlanos-Lanchares, Elena Martín Fernández, Carlos González-Gutiérrez
An Artificial Neural Network Model for the Prediction of Bruxism by Means of Occlusal Variables. SOCO-CISIS-ICEUTE 2017: 371-380 - [c9]Juan Enrique Sánchez Lasheras, Adonina Tardón
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: 391-399 - [c8]Jose M. Gonzalez-Cava
A Machine Learning Based System for Analgesic Drug Delivery. SOCO-CISIS-ICEUTE 2017: 461-470 - [c7]Esteban Jove
An Intelligent Model to Predict ANI in Patients Undergoing General Anesthesia. SOCO-CISIS-ICEUTE 2017: 492-501 - 2016
- [j21]Concepción Crespo-Turrado, Fernando Sánchez Lasheras
A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers. Sensors 16(9): 1467 (2016) - [c6]Concepción Crespo-Turrado, José Luís Casteleiro-Roca
Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree. HAIS 2016: 126-135 - [c5]Sergio Luis Suárez Gómez
Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks. ISDA 2016: 1051-1060 - [c4]Carlos González-Gutiérrez
Using GPUs to Speed up a Tomographic Reconstructor Based on Machine Learning. SOCO-CISIS-ICEUTE 2016: 279-289 - [c3]José Luís Casteleiro-Roca
An Intelligent Model for Bispectral Index (BIS) in Patients Undergoing General Anesthesia. SOCO-CISIS-ICEUTE 2016: 290-300 - 2015
- [j20]P. J. García Nieto, Esperanza García Gonzalo
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: 219-231 (2015) - [j19]Fernando Sánchez Lasheras
A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines. Sensors 15(3): 7062-7083 (2015) - [j18]Concepción Crespo-Turrado, Fernando Sánchez Lasheras
A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers. Sensors 15(12): 31069-31082 (2015) - [c2]José Antonio López-Vázquez
A New Way to Improve Subject Selection in Engineering Degree Studies. CISIS-ICEUTE 2015: 533-545 - 2014
- [j17]Fernando Sánchez Lasheras, P. J. García Nieto, Francisco Javier de Cos Juez
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: 164-170 (2014) - [j16]Concepción Crespo-Turrado, María del Carmen Meizoso-López, Fernando Sánchez Lasheras
Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions. Sensors 14(11): 20382-20399 (2014) - 2012
- [j15]P. J. García Nieto, J. Martínez Torres, Francisco Javier de Cos Juez
Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus. Appl. Math. Comput. 219(2): 755-763 (2012) - [j14]Fernando Sánchez Lasheras, Javier de Andrés
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy. Expert Syst. Appl. 39(8): 7512-7523 (2012) - [j13]C. Ordóñez Galán
Comparison of GPS observations made in a forestry setting using functional data analysis. Int. J. Comput. Math. 89(3): 402-408 (2012) - [j12]Francisco Javier de Cos Juez
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): 1901-1913 (2012) - [j11]Francisco Javier de Cos Juez
An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment. Sensors 12(7): 8895-8911 (2012) - 2011
- [j10]Ana Suárez Sánchez
Prediction of work-related accidents according to working conditions using support vector machines. Appl. Math. Comput. 218(7): 3539-3552 (2011) - [j9]Javier de Andrés
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS). Expert Syst. Appl. 38(3): 1866-1875 (2011) - [j8]C. Ordóñez Galán
Determining vine leaf water stress by functional data analysis. Int. J. Comput. Math. 88(9): 1941-1948 (2011) - [j7]Francisco Javier de Cos Juez
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): 1665-1670 (2011) - [c1]Javier de Andrés, Pedro Lorca, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez:
Solvency Assessment in an Unbalanced Sample. KMIS 2011: 283-286 - 2010
- [j6]Leticia Álvarez Menéndez, Francisco Javier de Cos Juez
Artificial neural networks applied to cancer detection in a breast screening programme. Math. Comput. Model. 52(7-8): 983-991 (2010) - [j5]Francisco Javier de Cos Juez
Analysis of lead times of metallic components in the aerospace industry through a supported vector machine model. Math. Comput. Model. 52(7-8): 1177-1184 (2010)
2000 – 2009
- 2009
- [j4]Francisco Javier de Cos Juez
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): 1878-1887 (2009) - [j3]C. Ordóñez Galán
Machine learning techniques applied to the determination of osteoporosis incidence in post-menopausal women. Math. Comput. Model. 50(5-6): 673-679 (2009) - [j2]Francisco Javier de Cos Juez
Study of posterolateral lumbar arthrodesis by means of a finite element model. Math. Comput. Model. 50(5-6): 680-694 (2009) - 2008
- [j1]Francisco Javier de Cos Juez
Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM. Appl. Math. Comput. 206(2): 952-967 (2008)
Coauthor Index
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