| Fruit classification for retail stores using deep learning JL Rojas-Aranda, JI Nunez-Varela, JC Cuevas-Tello, G Rangel-Ramirez Pattern Recognition: 12th Mexican Conference, MCPR 2020, Morelia, Mexico …, 2020 | 75 | 2020 |
| 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 | 49 | 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 | 32 | 2006 |
| Ontology for knowledge condensation to support expertise location in the code phase during software development process JR Martínez-García, FE Castillo-Barrera, RR Palacio, G Borrego, ... IET Software 14 (3), 234-241, 2020 | 28 | 2020 |
| 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 | 25 | 2010 |
| A Methodology for Obtaining Universal Software Code Metrics A Núñez-Varela, HG Perez-Gonzalez, JC Cuevas-Tello, ... Procedia Technology 7, 336-343, 2013 | 11 | 2013 |
| 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 | 11 | 2013 |
| 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 | 10 | 2016 |
| 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 | 10 | 2012 |
| Analysis of Time Series with Artificial Neural Networks RA González-Grimaldo, JC Cuevas-Tello 2008 Seventh Mexican International Conference on Artificial Intelligence …, 2008 | 9 | 2008 |
| 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 | 9 | 2006 |
| Estimating time delays between irregularly sampled time series JC Cuevas Tello University of Birmingham, 2007 | 8 | 2007 |
| Fault Diagnosis Based on Machine Learning for the High Frequency Link of a Grid-Tied Photovoltaic Converter for a Wide Range of Irradiance Conditions Y León-Ruiz, M González-García, R Alvarez-Salas, J Cuevas-Tello, ... IEEE Access 9, 151209-151220, 2021 | 7 | 2021 |
| 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 | 7 | 2020 |
| Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for Real-Time Video Tracking C Soubervielle-Montalvo, OE Perez-Cham, C Puente, ... Sensors 22 (3), 1280, 2022 | 6 | 2022 |
| Risk Assessment Methodology for Trajectory Planning in Keyhole Neurosurgery using Genetic Algorithms I Villanueva‐Naquid, C Soubervielle‐Montalvo, RM Aguilar‐Ponce, ... The International Journal of Medical Robotics and Computer Assisted Surgery, 2019 | 6 | 2019 |
| 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 | 5 | 2020 |
| A Tutorial on Deep Neural Networks for Intelligent Systems JC Cuevas-Tello, M Valenzuela-Rendón, JA Nolazco-Flores arXiv preprint arXiv:1603.07249, 2016 | 5 | 2016 |
| 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 | 5 | 2016 |
| ModuleNet: a convolutional neural network for stereo vision OI Renteria-Vidales, JC Cuevas-Tello, A Reyes-Figueroa, M Rivera Pattern Recognition: 12th Mexican Conference, MCPR 2020, Morelia, Mexico …, 2020 | 4 | 2020 |
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at cs.bham.ac.uk
