Juan C. Cuevas-Tello

Publication Activity (10 Years)

Years Active: 2006-2020
Publications (10 Years): 3

Top Topics

Software Development Process

Medical Decision Support

Ambient Intelligence

Top Venues

Publications

Jose R. Martínez-García, Francisco Edgar Castillo-Barrera, Ramon R. Palacio, Gilberto Borrego, Juan C. Cuevas-Tello
Ontology for knowledge condensation to support expertise location in the code phase during software development process. IET Softw. 14 (3) (2020)
Jose Luis Rojas-Aranda, José Ignacio Nuñez-Varela, Juan C. Cuevas-Tello, Gabriela Rangel-Ramirez
Fruit Classification for Retail Stores Using Deep Learning. MCPR (2020)
Juan C. Cuevas-Tello, Manuel Valenzuela-Rendón, Juan Arturo Nolazco-Flores
A Tutorial on Deep Neural Networks for Intelligent Systems. CoRR (2016)
Francisco E. Martínez-Pérez, José Ángel González-Fraga, Juan C. Cuevas-Tello, Marcela D. Rodríguez
Activity Inference for Ambient Intelligence Through Handling Artifacts in a Healthcare Environment. Sensors 12 (1) (2012)
Juan C. 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) (2010)
Peter Tiño, Juan C. Cuevas-Tello, Somak Raychaudhury
Estimating Time Delay in Gravitationally Lensed Fluxes. Similarity-based learning on structures (2009)
Juan C. Cuevas-Tello, Peter Tiño, Somak Raychaudhury, Xin Yao, Markus Harva
Uncovering delayed patterns in noisy and irregularly sampled time series: an astronomy application CoRR (2009)
Juan C. Cuevas-Tello
Evolved Kernel Method for Time Series. MICAI (2007)
Juan C. 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)
Juan C. Cuevas-Tello, Peter Tiño, Somak Raychaudhury
How accurate are the time delay estimates in gravitational lensing? CoRR (2006)