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ORCIDJuan Carlos Cuevas-Tello
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2020 – today
- 2024
[j10]Ryan Baker del Aguila, Carlos Daniel Contreras Pérez, Alejandra Guadalupe Silva Trujillo
, Juan Carlos Cuevas-Tello, José I. Nuñez-Varela:
Static Malware Analysis Using Low-Parameter Machine Learning Models. Comput. 13(3): 59 (2024)- 2023
- [j9]Jose R. Martínez-García, Ramón René Palacio Cinco, Francisco Edgar Castillo-Barrera, Juan Carlos Cuevas-Tello, Gilberto Borrego:
Knowledge Condensation Model to Support Expertise Location in Software Development. Computación y Sistemas (CyS) 27(1) (2023) - 2022
- [j8]Carlos Soubervielle-Montalvo, Oscar Ernesto Perez-Cham, Cesar Puente, Emilio J. González-Galván, Gustavo Olague, Carlos Arturo Aguirre-Salado, Juan Carlos Cuevas-Tello, Luis Javier Ontañón García:
Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for Real-Time Video Tracking. Sensors 22(3): 1280 (2022) - 2021
- [j7]Yuniel León-Ruiz, Mario González-García, Ricardo Alvarez-Salas, Juan Carlos Cuevas-Tello, Victor M. Cárdenas:
Fault Diagnosis Based on Machine Learning for the High Frequency Link of a Grid-Tied Photovoltaic Converter for a Wide Range of Irradiance Conditions. IEEE Access 9: 151209-151220 (2021) - 2020
- [j6]Jose S. Altamirano-Flores, Sandra E. Guerra-Palomares, Pedro G. Hernandez-Sanchez, Jose L. Ramirez-Garcialuna, J. Rafael Argüello-Astorga, Daniel E. Noyola, Juan Carlos Cuevas-Tello, Christian Alberto Garcia-Sepulveda:
Identification of HIV-1 Vif Protein Attributes Associated With CD4 T Cell Numbers and Viral Loads Using Artificial Intelligence Algorithms. IEEE Access 8: 87214-87227 (2020) - [j5]Jose R. Martínez-García, Francisco Edgar Castillo-Barrera, Ramon R. Palacio, Gilberto Borrego, Juan Carlos Cuevas-Tello:
Ontology for knowledge condensation to support expertise location in the code phase during software development process. IET Softw. 14(3): 234-241 (2020) - [c6]Jose Luis Rojas-Aranda, José Ignacio Nuñez-Varela, Juan Carlos Cuevas-Tello, Gabriela Rangel-Ramirez:
Fruit Classification for Retail Stores Using Deep Learning. MCPR 2020: 3-13 - [c5]Octavio I. Renteria-Vidales, Juan Carlos Cuevas-Tello, Alan Reyes-Figueroa, Mariano Rivera:
ModuleNet: A Convolutional Neural Network for Stereo Vision. MCPR 2020: 219-228
2010 – 2019
- 2018
- [i5]Juan Carlos Cuevas-Tello:
Apuntes de Redes Neuronales Artificiales. CoRR abs/1806.05298 (2018) - 2016
- [i4]Juan Carlos Cuevas-Tello, Manuel Valenzuela-Rendón, Juan Arturo Nolazco-Flores:
A Tutorial on Deep Neural Networks for Intelligent Systems. CoRR abs/1603.07249 (2016) - 2015
- [j4]J. Gilberto Rodríguez-Escobedo, Christian Alberto Garcia-Sepulveda, Juan Carlos Cuevas-Tello:
KIR Genes and Patterns Given by the A Priori Algorithm: Immunity for Haematological Malignancies. Comput. Math. Methods Medicine 2015: 141363:1-141363:11 (2015) - 2013
- [j3]Juan Carlos Cuevas-Tello, Daniel Hernández-Ramírez, Christian Alberto Garcia-Sepulveda:
Support vector machine algorithms in the search of KIR gene associations with disease. Comput. Biol. Medicine 43(12): 2053-2062 (2013) - 2012
- [j2]Francisco Eduardo Martínez Pérez, José Ángel González-Fraga, Juan Carlos Cuevas-Tello, Marcela D. Rodríguez:
Activity Inference for Ambient Intelligence Through Handling Artifacts in a Healthcare Environment. Sensors 12(1): 1072-1099 (2012) - 2011
- [c4]Miriam Vázquez-Escalante, Jose Antonio Flores-Saucedo, Héctor G. Pérez-González, Juan Carlos Cuevas-Tello:
Software quality in terms of academic progress of developers. SEKE 2011: 04-05 - 2010
- [j1]Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury, Xin Yao, Markus Harva:
Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application. Pattern Recognit. 43(3): 1165-1179 (2010) - [c3]Juan Carlos Cuevas-Tello, Christian Alberto Garcia-Sepulveda, Héctor G. Pérez-González, Manuel Mora:
IT Services for Decision Support Systems on Public Health Problems by using Genomic Data. BIOCOMP 2010: 801-806
2000 – 2009
- 2009
- [i3]Peter Tiño, Juan Carlos Cuevas-Tello, Somak Raychaudhury:
Estimating Time Delay in Gravitationally Lensed Fluxes. Similarity-based learning on structures 2009 - [i2]Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury, Xin Yao, Markus Harva:
Uncovering delayed patterns in noisy and irregularly sampled time series: an astronomy application. CoRR abs/0908.3706 (2009) - 2007
- [b1]Juan Carlos Cuevas-Tello:
Estimating time delays between irregularly sampled time series. University of Birmingham, UK, 2007 - [c2]Juan Carlos Cuevas-Tello:
Evolved Kernel Method for Time Series. MICAI 2007: 559-569 - 2006
- [c1]Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury:
A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses. ECML 2006: 614-621 - [i1]Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury:
How accurate are the time delay estimates in gravitational lensing? CoRR abs/astro-ph/0605042 (2006)
Coauthor Index
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