José Augusto Baranauskas

According to our database, José Augusto Baranauskas authored at least 17 papers between 2000 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Decision Tree Induction Through Meta-learning.

Caique Augusto Ferreira, Adriano Henrique Cantão, José Augusto Baranauskas

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

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, José Augusto Baranauskas

Proceedings of the Advances in Databases and Information Systems, 2022

2021

Use of Fitness Sharing in the Local Rule-Based Explanations Method.

Daniel A. Santos, José Augusto Baranauskas, Renato Tinós

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020

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

2018

A tree-based algorithm for attribute selection.

José Augusto Baranauskas, Oscar Picchi Netto, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo

Appl. Intell., 2018

The Evolution of a Healthcare Software Framework: Reuse, Evaluation and Lessons Learned.

Alessandra A. Macedo, José Augusto Baranauskas, Renato Bulcão Neto

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2016

Windowing improvements towards more comprehensible models.

Pedro Santoro Perez, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo, José Augusto Baranauskas

Knowl. Based Syst., 2016

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

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

The number of classes as a source for instability of decision tree algorithms in high dimensional datasets.

José Augusto Baranauskas

Artif. Intell. Rev., 2015

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

How Many Trees in a Random Forest?

Thais Mayumi Oshiro, Pedro Santoro Perez, José Augusto Baranauskas

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Root Attribute Behavior within a Random Forest.

Thais Mayumi Oshiro, José Augusto Baranauskas

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2009

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

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2003

Combining symbolic classifiers from multiple inducers.

José Augusto Baranauskas, Maria Carolina Monard

Knowl. Based Syst., 2003

2001

Extração automática de conhecimento por múltiplos indutores.

José Augusto Baranauskas

PhD thesis, 2001

2000

An Environment for Rule Extraction and Evaluation from Databases.

José Augusto Baranauskas, Maria Carolina Monard

Proceedings of the International Joint Conference, 2000