Cuevas-Tello, J.C.
Cited by
Cited by
Activity inference for ambient intelligence through handling artifacts in a healthcare environment
FE Martínez-Pérez, JÁ González-Fraga, JC Cuevas-Tello, MD Rodríguez
Sensors 12 (1), 1072-1099, 2012
How accurate are the time delay estimates in gravitational lensing?
JC Cuevas-Tello, P Tiňo, S Raychaudhury
Astronomy & Astrophysics 454 (3), 695-706, 2006
Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application
JC Cuevas-Tello, P Tiňo, S Raychaudhury, X Yao, M Harva
Pattern Recognition 43 (3), 1165-1179, 2010
A Methodology for Obtaining Universal Software Code Metrics
A Núñez-Varela, HG Perez-Gonzalez, JC Cuevas-Tello, ...
Procedia Technology 7, 336-343, 2013
A kernel-based approach to estimating phase shifts between irregularly sampled time series: an application to gravitational lenses
JC Cuevas-Tello, P Tiňo, S Raychaudhury
European Conference on Machine Learning, 614-621, 2006
Parallel approach for time series analysis with general regression neural networks
JC Cuevas-Tello, RA González-Grimaldo, O Rodríguez-González, ...
Journal of applied research and technology 10 (2), 162-179, 2012
Building a User Oriented Application for Generic Source Code Metrics Extraction from a Metrics Framework
FE Mart, J Cuevas-Tello
2016 4th International Conference in Software Engineering Research and …, 2016
Support vector machine algorithms in the search of KIR gene associations with disease
JCC Tello, D Hernández-Ramírez, CA García-Sepúlveda
Computers in biology and medicine 43 (12), 2053-2062, 2013
Analysis of Time Series with Artificial Neural Networks
RA González-Grimaldo, JC Cuevas-Tello
2008 Seventh Mexican International Conference on Artificial Intelligence …, 2008
Estimating time delays between irregularly sampled time series
JC Cuevas Tello
University of Birmingham, 2007
Kernel regression estimates of time delays between gravitationally lensed fluxes
SAL Otaibi, P Tiňo, JC Cuevas-Tello, I Mandel, S Raychaudhury
arXiv preprint arXiv:1508.03439, 2016
Sistema automático para la predicción de desastres meteorológicos en las ciudades
CAR Gámez, JCC Tello
Ide@s CONCYTEG 7 (86), 28, 2012
Multi-Objective Optimisation in Time Series: Time Delay Agreement
JC Cuevas-Tello, HG Perez-Gonzalez
Proceedings on the International Conference on Artificial Intelligence (ICAI), 1, 2011
A Tutorial on Deep Neural Networks for Intelligent Systems
JC Cuevas-Tello, M Valenzuela-Rendón, JA Nolazco-Flores
arXiv preprint arXiv:1603.07249, 2016
KIR genes and patterns given by the a priori algorithm: immunity for haematological malignancies
JG Rodríguez-Escobedo, CA García-Sepúlveda, JC Cuevas-Tello
Computational and Mathematical Methods in Medicine, 2015
“High performance computing on astrophyics with artificial intelligence algorithms
JC Cuevas-Tello
Proceedings of the Joint GISELA-CHAIN Conference 1 (1), 1-7, 2012
ModuleNet: A Convolutional Neural Network for Stereo Vision
OI Renteria-Vidales, JC Cuevas-Tello, A Reyes-Figueroa, M Rivera
Mexican Conference on Pattern Recognition, 219-228, 2020
Fruit Classification for Retail Stores Using Deep Learning
JL Rojas-Aranda, JI Nunez-Varela, JC Cuevas-Tello, G Rangel-Ramirez
Mexican Conference on Pattern Recognition, 3-13, 2020
Identification of HIV-1 Vif Protein Attributes Associated With CD4 T Cell Numbers and Viral Loads Using Artificial Intelligence Algorithms
JS Altamirano-Flores, SE Guerra-Palomares, PG Hernandez-Sanchez, ...
IEEE Access 8, 87214-87227, 2020
Computational Forecasting Methodology for Acute Respiratory Infectious Disease Dynamics
DA Gónzalez-Bandala, JC Cuevas-Tello, DE Noyola, A Comas-García, ...
International Journal of Environmental Research and Public Health 17 (12), 4540, 2020
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