Knowledge Extraction from Vector Machine Support in the Context of Depression in Children and Adolescents. - Thiago H. N. de Lima; Renata C. Santana; Maycoln L. M. Teodoro; Cristiane Nobre (CIARP, 2019)

Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context. - Renata C. Santana; Bruno César dos Santos; Thiago H. N. de Lima; Maycoln L. M. Teodoro; Saulo Pinto; Luiz Zárate; Cristiane Nobre (ICMLA, 2019)

Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning. - Kelly Malaquias; Thiago H. N. de Lima; Renata C. Santana; Felipe Salgado; Maycoln L. M. Teodoro; Cristiane Nobre (SMC, 2019)

Predicting Depression in Children and Adolescents using the SHAP Approach. - Marcelo de Sousa Balbino; Renata Santana; Maycoln L. M. Teodoro; Mark A. J. Song; Luis E. Zárate; Cristiane Nobre (HEALTHINF, 2022)

A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies. - Ariane C. B. da Silva; Renata C. Santana; Thiago H. N. de Lima; Maycoln L. M. Teodoro; Mark A. J. Song; Luis E. Zárate; Cristiane Neri Nobre (HEALTHINF, 2022)

Assessment of the Relationship Between Attribute Coding and the Interpretability of Machine Learning Models: An Analysis in the Context of Children and Adolescents with Depression. - Ludmila B. S. Nascimento; Marcelo de Sousa Balbino; Maycoln L. M. Teodoro; Cristiane Neri Nobre (BIOSTEC (2), 2024)

Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents. - Ariane C. B. da Silva; Maycoln L. M. Teodoro; Cristiane Neri Nobre (BIOSTEC (2), 2024)