| Exploring survival models associated with MCI to AD conversion: a machine learning approach J Orozco-Sanchez, V Trevino, E Martinez-Ledesma, J Farber, ... BioRxiv, 836510, 2019 | 8 | 2019 |
| Ensemble of SVM, random-forest and the BSWiMS method to predict and describe structural associations with fluid intelligence scores from T1-weighed MRI J Tamez-Pena, J Orozco, P Sosa, A Valdes, F Nezhadmoghadam Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | 7 | 2019 |
| Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics A Silva-Gálvez, J Orozco-Sanchez, E Lara-Cárdenas, JC Ortiz-Bayliss, ... 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 822-828, 2020 | 3 | 2020 |
| Prediction of MCI to AD risk of conversion survival models: qMRI vs CSF measures and cognitive assessments J Orozco-Sanchez, J Tamez-Peña Medical Imaging 2020: Computer-Aided Diagnosis 11314, 620-639, 2020 | 1 | 2020 |
| Machine learning and cox based benchmarking tool: exploration of survival models associated with chronic degenerative diseases JA Orozco Sánchez Instituto Tecnológico y de Estudios Superiores de Monterrey, 0 | | |
