S
Saulo Martiello Mastelini
Researcher at University of São Paulo
Publications - 43
Citations - 577
Saulo Martiello Mastelini is an academic researcher from University of São Paulo. The author has contributed to research in topics: Random forest & Support vector machine. The author has an hindex of 11, co-authored 40 publications receiving 307 citations. Previous affiliations of Saulo Martiello Mastelini include Universidade Estadual de Londrina.
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River: machine learning for streaming data in Python.
Jacob Montiel,Max Halford,Saulo Martiello Mastelini,Geoffrey Bolmier,Raphael Sourty,Robin Vaysse,Adil Zouitine,Heitor Murilo Gomes,Jesse Read,Talel Abdessalem,Albert Bifet +10 more
TL;DR: River is a machine learning library for dynamic data streams and continual learning that is the result from the merger of the two most popular packages for stream learning in Python: Creme and scikit-multiflow.
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Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization
Gabriel Fillipe Centini Campos,Saulo Martiello Mastelini,Gabriel Jonas Aguiar,Rafael Gomes Mantovani,Rafael Gomes Mantovani,Leonimer Flávio de Melo,Sylvio Barbon +6 more
TL;DR: A learning-based hyperparameter selection method for the CLAHE technique, which overcomes both experimented baselines by enhancing image contrast while keeping its natural aspect and shows the efficiency of the proposed approach in predicting CLAHE hyperparameters.
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Explainable Machine Learning Algorithms For Predicting Glass Transition Temperatures
Edesio Alcobaça,Saulo Martiello Mastelini,Tiago Botari,Bruno Almeida Pimentel,Daniel R. Cassar,André C. P. L. F. de Carvalho,Edgar Dutra Zanotto +6 more
TL;DR: This paper investigates how different ML algorithms can be used to predict the Tg of glasses based on their chemical composition and shows that the best ML algorithm for predicting Tg is the Random Forest (RF).
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Digital image analyses as an alternative tool for chicken quality assessment
Douglas Fernandes Barbin,Douglas Fernandes Barbin,Saulo Martiello Mastelini,Sylvio Barbon,Gabriel Fillipe Centini Campos,Ana Paula A. C. Barbon,Massami Shimokomaki +6 more
TL;DR: In this paper, computer vision was tested as a potential tool to predict color measurements compared to CIELab attributes of chicken breast (pectoralis major) obtained by analytical reference measurements.
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Computer vision system and near-infrared spectroscopy for identification and classification of chicken with wooden breast, and physicochemical and technological characterization
Bruna Caroline Geronimo,Saulo Martiello Mastelini,Rafael H. Carvalho,Sylvio Barbon Junior,Douglas Fernandes Barbin,Massami Shimokomaki,Elza Iouko Ida +6 more
TL;DR: In this article, the authors used a Computer Vision System (CVS) and spectral information from the Near Infrared (NIR) region by linear and nonlinear algorithms to identify and classify chicken with wooden breast anomaly.