| Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach GO Belizario, RGB Junior, R Salvini, B Lafer, R da Silva Dias Journal of affective disorders 245, 279-282, 2019 | 24 | 2019 |
| Exploring machine learning to predict depressive relapses of bipolar disorder patients L de Siqueira Rotenberg, RG Borges-Junior, B Lafer, R Salvini, ... Journal of Affective Disorders 295, 681-687, 2021 | 22 | 2021 |
| Forecasting depressive relapse in Bipolar Disorder from clinical data R Borges-Júnior, R Salvini, AA Nierenberg, GS Sachs, B Lafer, RS Dias 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 8 | 2018 |
| Aprendizado de máquina para análise de recaída para depressão em pacientes com transtorno bipolar RG Borges Júnior | 1 | 2018 |
| Applying machine learning to predict depression relapse of bipolar disorder patients R Dias, RG BORGES-JUNIOR, R Salvini, CG CAMILO-JUNIOR, B Lafer, ... Bipolar Disorders, 2018 | | 2018 |
| Predominant polarity determination from a machine learning approach G Belizario, R Borges Junior, R Salvini, B Lafer, R Dias Bipolar Disorders, 2018 | | 2018 |
| SEDOR-Sistema Especialista para Diagnóstico Odontológico baseado em Radiografias R Borges, G Saddi, R Salvini, F Yamamoto | | |
