| 2014 | IDEAL | LBP and Machine Learning for Diabetic Retinopathy Detection. | Jorge de la Calleja, Lourdes Tecuapetla, Ma. Auxilio Medina, Everardo Brcenas, Argelia B. Urbina Njera |
| 2012 | ISDA | Image-based classification of diabetic retinopathy using machine learning. | Pilar Perez Conde, Jorge de la Calleja, Antonio Bentez, Ma. Auxilio Medina |
| 2010 | CIARP | The Imbalanced Problem in Morphological Galaxy Classification. | Jorge de la Calleja, Gladis Huerta, Olac Fuentes, Antonio Bentez, Eduardo Lpez Domnguez, Ma. Auxilio Medina |
| 2009 | IC3K | A Learning Method for Imbalanced Data Sets. | Jorge de la Calleja, Olac Fuentes, Jess Gonzlez, Rita M. Aceves-Prez |
| 2008 | FlAIRS | Selecting Minority Examples from Misclassified Data for Over-Sampling. | Jorge de la Calleja, Olac Fuentes, Jess Gonzlez |
| 2007 | FlAIRS | A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets. | Jorge de la Calleja, Olac Fuentes |
| 2006 | FlAIRS | Automated Classification of Astronomical Objects in Multispectral Wide-Field Images. | Jorge de la Calleja, Olac Fuentes |
| 2004 | KES | Automated Classification of Galaxy Images. | Jorge de la Calleja, Olac Fuentes |