Saulo Martiello Mastelini
Saulo Martiello Mastelini
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Cited by
River: machine learning for streaming data in python
J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ...
Journal of Machine Learning Research 22 (110), 1-8, 2021
Machine learning hyperparameter selection for contrast limited adaptive histogram equalization
GFC Campos, SM Mastelini, GJ Aguiar, RG Mantovani, LF Melo, ...
EURASIP Journal on Image and Video Processing 2019, 1-18, 2019
Digital image analyses as an alternative tool for chicken quality assessment
DF Barbin, SM Mastelini, S Barbon Jr, GFC Campos, APAC Barbon, ...
Biosystems Engineering 144, 85-93, 2016
Explainable machine learning algorithms for predicting glass transition temperatures
E Alcobaça, SM Mastelini, T Botari, BA Pimentel, DR Cassar, ...
Acta materialia 188, 92-100, 2020
Computer vision system and near-infrared spectroscopy for identification and classification of chicken with wooden breast, and physicochemical and technological characterization
BC Geronimo, SM Mastelini, RH Carvalho, SB Júnior, DF Barbin, ...
Infrared Physics & Technology 96, 303-310, 2019
Multi-target prediction of wheat flour quality parameters with near infrared spectroscopy
SB Junior, SM Mastelini, APAC Barbon, DF Barbin, R Calvini, JF Lopes, ...
Information processing in agriculture 7 (2), 342-354, 2020
A meta-learning approach for selecting image segmentation algorithm
GJ Aguiar, RG Mantovani, SM Mastelini, AC de Carvalho, GFC Campos, ...
Pattern Recognition Letters 128, 480-487, 2019
Deep regressor stacking for air ticket prices prediction
E Santana, S Mastelini
Anais do XIII simpósio brasileiro de sistemas de informação, 25-31, 2017
Predicting poultry meat characteristics using an enhanced multi-target regression method
EJ Santana, BC Geronimo, SM Mastelini, RH Carvalho, DF Barbin, EI Ida, ...
Biosystems Engineering 171, 193-204, 2018
Development of a flexible computer vision system for marbling classification
APA da Costa Barbon, S Barbon Jr, GFC Campos, JL Seixas Jr, LM Peres, ...
Computers and Electronics in Agriculture 142, 536-544, 2017
Multi-output tree chaining: An interpretative modelling and lightweight multi-target approach
SM Mastelini, VGT da Costa, EJ Santana, FK Nakano, RC Guido, R Cerri, ...
Journal of Signal Processing Systems 91, 191-215, 2019
Predicting and interpreting oxide glass properties by machine learning using large datasets
DR Cassar, SM Mastelini, T Botari, E Alcobaça, AC de Carvalho, ...
Ceramics international 47 (17), 23958-23972, 2021
DSTARS: a multi-target deep structure for tracking asynchronous regressor stacking
SM Mastelini, EJ Santana, R Cerri, S Barbon Jr
Applied Soft Computing 91, 106215, 2020
White striping degree assessment using computer vision system and consumer acceptance test
T Kato, SM Mastelini, GFC Campos, APA da Costa Barbon, SH Prudencio, ...
Asian-Australasian journal of animal sciences 32 (7), 1015, 2019
Stacking methods for hierarchical classification
F kenji Nakano, SM Mastelini, S Barbon, R Cerri
2017 16th IEEE international conference on machine learning and applications …, 2017
Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra
EJ Santana, FR dos Santos, SM Mastelini, FL Melquiades, S Barbon Jr
Chemometrics and Intelligent Laboratory Systems 209, 104231, 2021
Improving hierarchical classification of transposable elements using deep neural networks
FK Nakano, SM Mastelini, S Barbon, R Cerri
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
On ensemble techniques for data stream regression
HM Gomes, J Montiel, SM Mastelini, B Pfahringer, A Bifet
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Machine learning unveils composition-property relationships in chalcogenide glasses
SM Mastelini, DR Cassar, E Alcobaça, T Botari, AC de Carvalho, ...
Acta Materialia 240, 118302, 2022
User classification on online social networks by post frequency
G Tavares, S Mastelini
Anais do XIII Simpósio Brasileiro de Sistemas de Informação, 464-471, 2017
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