Juan Carlos Cuevas-Tello

According to our database, Juan Carlos Cuevas-Tello authored at least 21 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Static Malware Analysis Using Low-Parameter Machine Learning Models.

Ryan Baker del Aguila, Carlos Daniel Contreras Pérez, Alejandra Guadalupe Silva Trujillo, Juan Carlos Cuevas-Tello, José I. Nuñez-Varela

Comput., March, 2024

2023

Knowledge Condensation Model to Support Expertise Location in Software Development.

Jose R. Martínez-García, Ramón René Palacio Cinco, Francisco Edgar Castillo-Barrera, Juan Carlos Cuevas-Tello, Gilberto Borrego

Computación y Sistemas (CyS), 2023

2022

Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for Real-Time Video Tracking.

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

Sensors, 2022

2021

Fault Diagnosis Based on Machine Learning for the High Frequency Link of a Grid-Tied Photovoltaic Converter for a Wide Range of Irradiance Conditions.

Yuniel León-Ruiz, Mario González-García, Ricardo Alvarez-Salas, Juan Carlos Cuevas-Tello, Victor M. Cárdenas

IEEE Access, 2021

2020

Ontology for knowledge condensation to support expertise location in the code phase during software development process.

Jose R. Martínez-García, Francisco Edgar Castillo-Barrera, Ramon R. Palacio, Gilberto Borrego, Juan Carlos Cuevas-Tello

IET Softw., 2020

Identification of HIV-1 Vif Protein Attributes Associated With CD4 T Cell Numbers and Viral Loads Using Artificial Intelligence Algorithms.

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

IEEE Access, 2020

Fruit Classification for Retail Stores Using Deep Learning.

Jose Luis Rojas-Aranda, José Ignacio Nuñez-Varela, Juan Carlos Cuevas-Tello, Gabriela Rangel-Ramirez

Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

ModuleNet: A Convolutional Neural Network for Stereo Vision.

Octavio I. Renteria-Vidales, Juan Carlos Cuevas-Tello, Alan Reyes-Figueroa, Mariano Rivera

Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

2018

Apuntes de Redes Neuronales Artificiales.

Juan Carlos Cuevas-Tello

CoRR, 2018

2016

A Tutorial on Deep Neural Networks for Intelligent Systems.

Juan Carlos Cuevas-Tello, Manuel Valenzuela-Rendón, Juan Arturo Nolazco-Flores

CoRR, 2016

2015

KIR Genes and Patterns Given by the A Priori Algorithm: Immunity for Haematological Malignancies.

J. Gilberto Rodríguez-Escobedo, Christian Alberto Garcia-Sepulveda, Juan Carlos Cuevas-Tello

Comput. Math. Methods Medicine, 2015

2013

Support vector machine algorithms in the search of KIR gene associations with disease.

Juan Carlos Cuevas-Tello, Daniel Hernández-Ramírez, Christian Alberto Garcia-Sepulveda

Comput. Biol. Medicine, 2013

2012

Activity Inference for Ambient Intelligence Through Handling Artifacts in a Healthcare Environment.

Francisco Eduardo Martínez Pérez, José Ángel González-Fraga, Juan Carlos Cuevas-Tello, Marcela D. Rodríguez

Sensors, 2012

2011

Software quality in terms of academic progress of developers.

Miriam Vázquez-Escalante, Jose Antonio Flores-Saucedo, Héctor G. Pérez-González, Juan Carlos Cuevas-Tello

Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

2010

Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.

Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury, Xin Yao, Markus Harva

Pattern Recognit., 2010

IT Services for Decision Support Systems on Public Health Problems by using Genomic Data.

Juan Carlos Cuevas-Tello, Christian Alberto Garcia-Sepulveda, Héctor G. Pérez-González, Manuel Mora

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009

Estimating Time Delay in Gravitationally Lensed Fluxes.

Peter Tiño, Juan Carlos Cuevas-Tello, Somak Raychaudhury

Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

2007

Estimating time delays between irregularly sampled time series.

Juan Carlos Cuevas-Tello

PhD thesis, 2007

Evolved Kernel Method for Time Series.

Juan Carlos Cuevas-Tello

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

2006

How accurate are the time delay estimates in gravitational lensing?

Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury

CoRR, 2006

A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses.

Juan Carlos Cuevas-Tello, Peter Tiño, Somak Raychaudhury

Proceedings of the Machine Learning: ECML 2006, 2006