José Augusto Baranauskas

ORCID

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 10

Top Venues

J. Biomed. Informatics

Artif. Intell. Rev.

ADBIS

Appl. Intell.

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Adriano Henrique Cantão, Alessandra Alaniz Macedo, Liang Zhao, José Augusto Baranauskas
Feature Ranking from Random Forest Through Complex Network's Centrality Measures - A Robust Ranking Method Without Using Out-of-Bag Examples. ADBIS (2022)
Caique Augusto Ferreira, Adriano Henrique Cantão, José Augusto Baranauskas
Decision Tree Induction Through Meta-learning. AIAI (2) (2022)
Daniel A. Santos, José Augusto Baranauskas, Renato Tinós
Use of Fitness Sharing in the Local Rule-Based Explanations Method. LA-CCI (2021)
Flávio Monteiro, Fernando Meloni, José Augusto Baranauskas, Alessandra Alaniz Macedo
Prediction of mortality in Intensive Care Units: a multivariate feature selection. J. Biomed. Informatics 107 (2020)
José Augusto Baranauskas, Oscar Picchi Netto, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo
A tree-based algorithm for attribute selection. Appl. Intell. 48 (4) (2018)
Alessandra A. Macedo, José Augusto Baranauskas, Renato Bulcão Neto
The Evolution of a Healthcare Software Framework: Reuse, Evaluation and Lessons Learned. FedCSIS (2018)
Alessandra Alaniz Macedo, Juliana Tarossi Pollettini, José Augusto Baranauskas, Julia Carmona Almeida Chaves
A Health Surveillance Software Framework to deliver information on preventive healthcare strategies. J. Biomed. Informatics 62 (2016)
Pedro Santoro Perez, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo, José Augusto Baranauskas
Windowing improvements towards more comprehensible models. Knowl. Based Syst. 92 (2016)
Erica Akemi Tanaka, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo, José Augusto Baranauskas
A multi-label approach using binary relevance and decision trees applied to functional genomics. J. Biomed. Informatics 54 (2015)
José Augusto Baranauskas
The number of classes as a source for instability of decision tree algorithms in high dimensional datasets. Artif. Intell. Rev. 43 (2) (2015)
Thais Mayumi Oshiro, José Augusto Baranauskas
Root Attribute Behavior within a Random Forest. IDEAL (2012)
Thais Mayumi Oshiro, Pedro Santoro Perez, José Augusto Baranauskas
How Many Trees in a Random Forest? MLDM (2012)
Juliana Tarossi Pollettini, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós, José Augusto Baranauskas, Alessandra A. Macedo
Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records. J. Medical Syst. 36 (6) (2012)
Juliana Tarossi Pollettini, Flávia P. Nicolas, Sylvia R. G. Panico, Julio C. Daneluzzi, Renato Tinós, José Augusto Baranauskas, Alessandra Alaniz Macedo
A Software Architecture-Based Framework Supporting Suggestion of Medical Surveillance Level from Classification of Electronic Patient Records. CSE (1) (2009)
José Augusto Baranauskas, Maria Carolina Monard
Combining symbolic classifiers from multiple inducers. Knowl. Based Syst. 16 (3) (2003)
José Augusto Baranauskas, Maria Carolina Monard
An Environment for Rule Extraction and Evaluation from Databases. IBERAMIA-SBIA 2000 Open Discussion Track (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

José Augusto Baranauskas