Cristiane Nobre

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 12

Top Topics

Attention Deficit Hyperactivity Disorder

Machine Learning Models

Galois Lattices

Top Venues

Publications

Luiz Zárate, Marcos W. Rodrigues, Sérgio Mariano Dias, Cristiane Nobre, Mark A. J. Song
SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining. Libr. Hi Tech 41 (6) (2023)
Deivid Santos, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais. ICEIS (1) (2022)
Paulo Lana, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Formal Concept Analysis Applied to a Longitudinal Study of COVID-19. ICEIS (1) (2022)
Marcelo Balbino, Renata Santana, Maycoln Teodoro, Mark A. J. Song, Luis Enrique Zárate, Cristiane Nobre
Predicting Depression in Children and Adolescents using the SHAP Approach. HEALTHINF (2022)
Caroline Jandre, Marcelo Balbino, Débora de Miranda, Luis Enrique Zárate, Cristiane Nobre
Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. BIOSTEC (Selected Papers) (2021)
Marcelo Balbino, Caroline Jandre, Débora de Miranda, Cristiane Nobre
Predictions of Academic Performance of Children and Adolescents with ADHD Using the SHAP Approach. MedInfo (2021)
Lorenzo Marzano, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Applying Formal Concept Analysis for the Recognition of Infant Mortality Patterns. MedInfo (2021)
Caroline Jandre, Bruno C. Santos, Marcelo Balbino, Débora de Miranda, Luis Enrique Zárate, Cristiane Nobre
Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach. HEALTHINF (2021)
Julio C. V. Neves, Kaio H. A. Ananias, Cristiane Nobre, Luis Enrique Zárate, Mark A. J. Song
Applying binary decision diagram to extract concepts from triadic formal context. SAC (2020)
Renata Santana, Bruno C. Santos, Thiago Lima, Maycoln Teodoro, Saulo Pinto, Luiz Zárate, Cristiane Nobre
Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context. ICMLA (2019)
Kelly Malaquias, Thiago Lima, Renata Santana, Felipe Salgado, Maycoln Teodoro, Cristiane Nobre
Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning. SMC (2019)
Thiago Lima, Renata Santana, Maycoln Teodoro, Cristiane Nobre
Knowledge Extraction from Vector Machine Support in the Context of Depression in Children and Adolescents. CIARP (2019)
Cristiane Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir
Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. 9 (3) (1999)