Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. - Caroline Jandre; Marcelo de Sousa Balbino; Débora de Miranda; Luis E. Zárate; Cristiane Nobre (BIOSTEC (Selected Papers), 2021)

Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach. - Caroline Jandre; Bruno César dos Santos; Marcelo de Sousa Balbino; Débora de Miranda; Luis E. Zárate; Cristiane Nobre (HEALTHINF, 2021)

Predictions of Academic Performance of Children and Adolescents with ADHD Using the SHAP Approach. - Marcelo de Sousa Balbino; Caroline Jandre; Débora de Miranda; Cristiane Nobre (MedInfo, 2021)

Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. - Henrique R. Hott; Caroline Jandre; Pedro H. S. Xavier; Amal Miloud-Aouidate; Débora M. Miranda; Mark A. J. Song; Luis E. Zárate; Cristiane Neri Nobre (HEALTHINF, 2022)

Persuasive Technology for Managing the Routine of Families with Children and Adolescents with ADHD: A User-Centered Approach. - Caroline R. S. Jandre; Fernando C. S. Dal' Maria; Gabriel A. C. Nardy; Felipe T. G. Guimarães; Débora de Miranda; Cristiane Neri Nobre (IHC, 2024)

Personas and socially aware design in the characterization of children and adolescents with attention-deficit/hyperactivity disorder: a technological and social approach. - Caroline R. S. Jandre; Aliene A. Villaça; Marcelo de Sousa Balbino; Débora de Miranda; Cristiane Neri Nobre (Univers. Access Inf. Soc., 2025)