75 citations · 245 across the 19 of their papers we have counts for
20 papers
Model interpretation using improved local regression with variable importance
Gilson Y. Shimizu, Rafael Izbicki, Andre C. P. L. F. de Carvalho
A fundamental question on the use of ML models concerns the explanation of their predictions for increasing transparency in decision-making. Although several interpretability metho…
Using dynamical quantization to perform split attempts in online tree regressors
Saulo Martiello Mastelini, Andre Carlos Ponce de Leon Ferreira de Carvalho
A central aspect of online decision tree solutions is evaluating the incoming data and enabling model growth. For such, trees much deal with different kinds of input features and p…
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
Márcio P. Basgalupp, Rodrigo C. Barros, Alex G. C. de Sá +4
This paper presents an experimental comparison among four Automated Machine Learning (AutoML) methods for recommending the best classification algorithm for a given input dataset.…
MeLIME: Meaningful Local Explanation for Machine Learning Models
Tiago Botari, Frederik Hvilshøj, Rafael Izbicki +1
Most state-of-the-art machine learning algorithms induce black-box models, preventing their application in many sensitive domains. Hence, many methodologies for explaining machine…
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
Bruno Brandoli, Gabriel Spadon, Travis Esau +4
Pesticide application has been heavily used in the cultivation of major crops, contributing to the increase of crop production over the past decades. However, their appropriate use…
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters
Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça +3
Machine Learning (ML) algorithms have been increasingly applied to problems from several different areas. Despite their growing popularity, their predictive performance is usually…