Members and collaborators

Type: Member

Osval Antonio Montesinos López

PhD. in Statistics and Biometry
oamontes1@ucol.mx

Holds a PhD in statistics and biometrics from the University of Nebraska, Lincoln Nebraska, USA. He has published 101 scientific articles in national and international journals. He belongs to Level I of the SNI. His areas of interest are statistics and machine learning applied to the biological sciences. He has taught courses on genomic prediction and statistical machine learning in Mexico, the United States of America, Brazil, Peru , France, Nigeria and India.

Publications

• A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library
  Montesinos-López, O. A., Montesinos-López, A., Cano-Paez, B., Hernández-Suárez, C. M., Santana-Mancilla, P. C., & Crossa, J. (2022). A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library. Genes, 13(8), 1494. https://doi.org/10.3390/genes13081494
  https://doi.org/10.3390/genes13081494
• A Review of Deep Learning Applications for the Next Generation of Cognitive Networks
  Buenrostro-Mariscal, R., Santana-Mancilla, P. C., Montesinos-López, O. A., Nieto Hipólito, J. I., & Anido-Rifón, L. E. (2022). A Review of Deep Learning Applications for the Next Generation of Cognitive Networks. Applied Sciences, 12(12), 6262. https://doi.org/10.3390/app12126262
  https://doi.org/10.3390/app12126262
• Desarrollo de un juego serio para adquirir competencias en intervención comunitaria para trabajo social
  Rodríguez-Ortiz M. A., Santana-Mancilla P. C., Gaytán-Lugo L. S., García-Ruiz M. A., Montesinos-López O. A. y Guzmán-Sandoval V. (2021) Desarrollo de un juego serio para adquirir competencias en intervención comunitaria para trabajo social. En Santana-Mancilla P. C., Guerrero-Ibañez J. A., Ramírez J. M. y Fajardo-Flores S. B. (Eds) Tecnologías de información: sus aplicaciones y contribuciones. Universidad de Colima
  https://ww.ucol.mx/publicacionesenlinea/?docto=502
• A review of deep learning applications for genomic selection
  Montesinos-López, O. A., Montesinos-López, A., Pérez-Rodríguez, P., Barrón-López, J. A., Martini, J. W. R., Fajardo-Flores, S. B., Gaytan-Lugo, L. S., Santana-Mancilla, P. C. & Crossa, J. (2021). A review of deep learning applications for genomic selection. BMC Genomics 22, 19. https://doi.org/10.1186/s12864-020-07319-x
  https://doi.org/10.1186/s12864-020-07319-x
• Benchmarking between item based collaborative filtering algorithm and genomic best linear unbiased prediction (GBLUP) model in terms of prediction accuracy for wheat and maize
  Montesinos-Lopez, O. A., Franco-Perez, E., Luna-Vázquez, F. J., Salinas-Ruiz, J., Sandoval Carrillo, S., Valenzo-Jiménez, M. A., Cuervas, J. & Santana-Mancilla, P. C. (2020). Benchmarking between item based collaborative filtering algorithm and genomic best linear unbiased prediction (GBLUP) model in terms of prediction accuracy for wheat and maize. Biotecnia, 22(2). https://doi.org/10.18633/biotecnia.v22i2.1255.
  https://doi.org/10.18633/biotecnia.v22i2.1255
• An IoT System for Remote Health Monitoring in Elderly Adults Through a Wearable Device and Mobile Application
  Durán-Vega, L. A., Santana-Mancilla, P. C., Buenrostro-Mariscal, R., Contreras-Castillo, J., Anido-Rifón, L. E., García-Ruiz, M. A., Montesinos-López, O. A. & Estrada-González, F. (2019). An IoT System for Remote Health Monitoring in Elderly Adults Through a Wearable Device and Mobile Application. Geriatrics, 4, 34. https://doi.org/10.3390/geriatrics4020034
  https://doi.org/10.3390/geriatrics4020034

Projects

• Analysis of respiratory patterns for health monitoring in older adults: Develop an IoMT system for remote monitoring of respiration in older adults to make predictions of possible health risk situations through machine learning techniques.