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Saulo Martiello Mastelini

Observed names: Mastelini, SM, Mastelini, Saulo, Mastelini, Saulo Martiello, Saulo M. Mastelini, Saulo Martielo Mastelini, Saulo Mastelini
ORCID: 0000-0002-0092-3572
Observed ORCID: 0000-0002-0092-3572
OpenAlex ID: A5069307015
River: Machine learning for streaming data in python
2020 · Montiel, J, Halford, M, et al. · arXiv (Cornell University) · 228
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Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization
2019 · Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, et al. · EURASIP Journal on Image and Video Processing · 127
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Explainable Machine Learning Algorithms For Predicting Glass Transition Temperatures
2020 · Edesio Alcobaça, Saulo Martiello Mastelini, et al. · Acta Materialia · 115
Online Extra Trees Regressor
2022 · Saulo Martiello Mastelini, Felipe Kenji Nakano, et al. · IEEE Transactions on Neural Networks and Learning Systems · 107
Computer vision system and near-infrared spectroscopy for identification and classification of chicken with wooden breast, and physicochemical and technological characterization
2018 · Bruna Caroline Geronimo, Saulo Martiello Mastelini, et al. · Infrared Physics & Technology · 98
Predicting and interpreting oxide glass properties by machine learning using large datasets
2021 · Daniel R. Cassar, Saulo Martiello Mastelini, et al. · Ceramics International · 79
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Digital image analyses as an alternative tool for chicken quality assessment
2016 · Douglas F. Barbin, Saulo M. Mastelini, et al. · Biosystems Engineering · 74
Multi-target prediction of wheat flour quality parameters with near infrared spectroscopy
2019 · Sylvio Barbon Junior, Saulo Martielo Mastelini, et al. · Information Processing in Agriculture · 56
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Machine learning unveils composition-property relationships in chalcogenide glasses
2022 · Saulo Martiello Mastelini, Daniel R. Cassar, et al. · Acta Materialia · 51
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A meta-learning approach for selecting image segmentation algorithm
2019 · Gabriel Jonas Aguiar, Rafael Gomes Mantovani, et al. · Pattern Recognition Letters · 48
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Development of a flexible Computer Vision System for marbling classification
2017 · Ana Paula Ayub da Costa Barbon, Sylvio Barbon, et al. · Computers and Electronics in Agriculture · 42
Predicting poultry meat characteristics using an enhanced multi-target regression method
2018 · Everton J. Santana, Bruna C. Geronimo, et al. · Biosystems Engineering · 39
On Ensemble Techniques for Data Stream Regression
2020 · Heitor Murilo Gomes, Jacob Montiel, et al. · International Joint Conference on Neural Networks (IJCNN) · 38
Deep Regressor Stacking for Air Ticket Prices Prediction
2017 · Everton Santana, Saulo Mastelini, et al. · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · 38
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Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach
2018 · Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, et al. · Journal of Signal Processing Systems · 35
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Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra
2021 · Everton Jose Santana, Felipe Rodrigues dos Santos, et al. · Chemometrics and Intelligent Laboratory Systems · 33
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Stacking Methods for Hierarchical Classification
2017 · Felipe kenji Nakano, Saulo Martiello Mastelini, et al. · International Conference on Machine Learning and Applications · 27
From fault detection to anomaly explanation: A case study on predictive maintenance
2024 · João Gama, Rita P. Ribeiro, et al. · Journal of Web Semantics · 26
White striping degree assessment using computer vision system and consumer acceptance test
2018 · Talita Kato, Saulo Martiello Mastelini, et al. · Asian-Australasian Journal of Animal Sciences · 22
Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks
2018 · Felipe Kenji Nakano, Saulo Martiello Mastelini, et al. · International Joint Conference on Neural Networks (IJCNN) · 22
DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking
2020 · Saulo Martiello Mastelini, Everton Jose Santana, et al. · Applied Soft Computing · 18
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DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack
2017 · Saulo Martiello Mastelini, Everton Jose Santana, et al. · Brazilian Conference on Intelligent Systems · 14
Computer vision system for characterization of pasta (noodle) composition
2018 · Saulo Martiello Mastelini, Matheus Gustavo Alves Sasso, et al. · Journal of Electronic Imaging · 12
Towards Meta-Learning for Multi-Target Regression Problems
2019 · Gabriel J. Aguiar, Everton J. Santana, et al. · Brazilian Conference on Intelligent Systems · 10
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Benchmarking Multi-target Regression Methods
2018 · Saulo Martiello Mastelini, Everton Jose Santana, et al. · Brazilian Conference on Intelligent Systems · 10
Works count: 54
Citation count: 1,462
H-index: 20
I10-index: 25
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