An Environment for Rule Extraction and Evaluation from Databases. - José Augusto Baranauskas; Maria Carolina Monard (IBERAMIA-SBIA 2000 Open Discussion Track, 2000)

Extração automática de conhecimento por múltiplos indutores. - José Augusto Baranauskas (2001)

Combining symbolic classifiers from multiple inducers. - José Augusto Baranauskas; Maria Carolina Monard (Knowl. Based Syst., 2003)

A Software Architecture-Based Framework Supporting Suggestion of Medical Surveillance Level from Classification of Electronic Patient Records. - Juliana Tarossi Pollettini; Flávia P. Nicolas; Sylvia R. G. Panico; Julio C. Daneluzzi; Renato Tinós; José Augusto Baranauskas; Alessandra Alaniz Macedo (CSE (1), 2009)

Root Attribute Behavior within a Random Forest. - Thais Mayumi Oshiro; José Augusto Baranauskas (IDEAL, 2012)

How Many Trees in a Random Forest? - Thais Mayumi Oshiro; Pedro Santoro Perez; José Augusto Baranauskas (MLDM, 2012)

Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records. - Juliana Tarossi Pollettini; Sylvia R. G. Panico; Julio C. Daneluzzi; Renato Tinós; José Augusto Baranauskas; Alessandra A. Macedo (J. Medical Syst., 2012)

The number of classes as a source for instability of decision tree algorithms in high dimensional datasets. - José Augusto Baranauskas (Artif. Intell. Rev., 2015)

A multi-label approach using binary relevance and decision trees applied to functional genomics. - Erica Akemi Tanaka; Sérgio Ricardo Nozawa; Alessandra Alaniz Macedo; José Augusto Baranauskas (J. Biomed. Informatics, 2015)

A Health Surveillance Software Framework to deliver information on preventive healthcare strategies. - Alessandra Alaniz Macedo; Juliana Tarossi Pollettini; José Augusto Baranauskas; Julia Carmona Almeida Chaves (J. Biomed. Informatics, 2016)

Windowing improvements towards more comprehensible models. - Pedro Santoro Perez; Sérgio Ricardo Nozawa; Alessandra Alaniz Macedo; José Augusto Baranauskas (Knowl. Based Syst., 2016)

The Evolution of a Healthcare Software Framework: Reuse, Evaluation and Lessons Learned. - Alessandra A. Macedo; José Augusto Baranauskas; Renato Bulcão Neto (FedCSIS, 2018)

A tree-based algorithm for attribute selection. - José Augusto Baranauskas; Oscar Picchi Netto; Sérgio Ricardo Nozawa; Alessandra Alaniz Macedo (Appl. Intell., 2018)

Prediction of mortality in Intensive Care Units: a multivariate feature selection. - Flávio Monteiro; Fernando Meloni; José Augusto Baranauskas; Alessandra Alaniz Macedo (J. Biomed. Informatics, 2020)

Use of Fitness Sharing in the Local Rule-Based Explanations Method. - Daniel A. Santos; José Augusto Baranauskas; Renato Tinós (LA-CCI, 2021)

Feature Ranking from Random Forest Through Complex Network's Centrality Measures - A Robust Ranking Method Without Using Out-of-Bag Examples. - Adriano Henrique Cantão; Alessandra Alaniz Macedo; Liang Zhao 001; José Augusto Baranauskas (ADBIS, 2022)

Decision Tree Induction Through Meta-learning. - Caique Augusto Ferreira; Adriano Henrique Cantão; José Augusto Baranauskas (AIAI (2), 2022)

Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs. - José Andery Carneiro; Breno Guerra Zancan; Camila Tirapelli; Camila Porto Capel; Eliana Dantas Costa; Hugo Gaêta-Araujo; José Augusto Baranauskas; Alessandra Alaniz Macedo (CBMS, 2025)