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ORCIDJosé Augusto Baranauskas
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2020 – today
- 2022
[c8]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: 330-343- [c7]Caique Augusto Ferreira, Adriano Henrique Cantão, José Augusto Baranauskas:
Decision Tree Induction Through Meta-learning. AIAI (2) 2022: 101-111 - 2021
- [c6]Daniel A. Santos, José Augusto Baranauskas, Renato Tinós:
Use of Fitness Sharing in the Local Rule-Based Explanations Method. LA-CCI 2021: 1-6 - 2020
- [j8]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: 103456 (2020)
2010 – 2019
- 2018
- [j7]José Augusto Baranauskas, Oscar Picchi Netto, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo:
A tree-based algorithm for attribute selection. Appl. Intell. 48(4): 821-833 (2018) - [c5]Alessandra A. Macedo, José Augusto Baranauskas, Renato Bulcão Neto:
The Evolution of a Healthcare Software Framework: Reuse, Evaluation and Lessons Learned. FedCSIS 2018: 1043-1051 - 2016
- [j6]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: 159-170 (2016) - [j5]Pedro Santoro Perez, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo, José Augusto Baranauskas:
Windowing improvements towards more comprehensible models. Knowl. Based Syst. 92: 9-22 (2016) - 2015
- [j4]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): 301-310 (2015) - [j3]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: 85-95 (2015) - 2012
- [j2]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): 3861-3874 (2012) - [c4]Thais Mayumi Oshiro, José Augusto Baranauskas:
Root Attribute Behavior within a Random Forest. IDEAL 2012: 733-742 - [c3]Thais Mayumi Oshiro, Pedro Santoro Perez, José Augusto Baranauskas:
How Many Trees in a Random Forest? MLDM 2012: 154-168
2000 – 2009
- 2009
- [c2]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: 166-173 - 2003
- [j1]José Augusto Baranauskas, Maria Carolina Monard:
Combining symbolic classifiers from multiple inducers. Knowl. Based Syst. 16(3): 129-136 (2003) - 2001
- [b1]José Augusto Baranauskas:
Extração automática de conhecimento por múltiplos indutores. University of São Paulo, Brazil, 2001 - 2000
- [c1]José Augusto Baranauskas, Maria Carolina Monard:
An Environment for Rule Extraction and Evaluation from Databases. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 187-196
Coauthor Index
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