José Augusto Baranauskas

发表

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

Alessandra Alaniz Macedo, Renato Bulcão Neto, José Augusto Baranauskas, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

A multi-label approach using binary relevance and decision trees applied to functional genomics

Alessandra Alaniz Macedo, José Augusto Baranauskas, Erica Akemi Tanaka, 2015, J. Biomed. Informatics.

A Computational Environment for Extracting Rules from Databases

Gustavo E. A. P. A. Batista, Maria Carolina Monard, José Augusto Baranauskas, 2000 .

Prediction of mortality in Intensive Care Units: a multivariate feature selection

Alessandra Alaniz Macedo, José Augusto Baranauskas, Flávio Monteiro, 2020, J. Biomed. Informatics.

A Software Architecture-Based Framework Supporting Suggestion of Medical Surveillance Level from Classification of Electronic Patient Records

Renato Tinós, Alessandra Alaniz Macedo, Juliana Tarossi Pollettini, 2009, 2009 International Conference on Computational Science and Engineering.

How Many Trees in a Random Forest?

José Augusto Baranauskas, Thais Mayumi Oshiro, Pedro Santoro Perez, 2012, MLDM.

Windowing improvements towards more comprehensible models

Alessandra Alaniz Macedo, José Augusto Baranauskas, Sérgio Ricardo Nozawa, 2016, Knowl. Based Syst..

SigrafW: An easy‐to‐use program for fitting enzyme kinetic data

José Augusto Baranauskas, Francisco Assis Leone, Rosa Prazeres Melo Furriel, 2005, Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology.

An Environment for Rule Extraction and Evaluation from Databases

M. C. Monard, Maria Carolina Monard, José Augusto Baranauskas, 2000, IBERAMIA-SBIA 2000 Open Discussion Track.

Extração automática de conhecimento por múltiplos indutores

José Augusto Baranauskas, 2001 .

Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records

Renato Tinós, Alessandra Alaniz Macedo, Juliana Tarossi Pollettini, 2012, Journal of Medical Systems.

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

José Augusto Baranauskas, 2012, Artificial Intelligence Review.

Root Attribute Behavior within a Random Forest

José Augusto Baranauskas, Thais Mayumi Oshiro, J. A. Baranauskas, 2012, IDEAL.

Combining symbolic classifiers from multiple inducers

Maria Carolina Monard, José Augusto Baranauskas, 2003, Knowl. Based Syst..