Folgen
Saulo Martiello Mastelini
Saulo Martiello Mastelini
Ph.D., Universidade de São Paulo
Bestätigte E-Mail-Adresse bei alumni.usp.br - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2972021
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
1192019
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
932020
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
912016
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
832019
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
572020
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
482019
Online extra trees regressor
SM Mastelini, FK Nakano, C Vens, ACP de Leon Ferreira
IEEE Transactions on Neural Networks and Learning Systems 34 (10), 6755-6767, 2022
432022
Deep regressor stacking for air ticket prices prediction
E Santana, S Mastelini
Simpósio Brasileiro de Sistemas de Informação (SBSI), 25-31, 2017
422017
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
412017
Predicting and interpreting oxide glass properties by machine learning using large datasets
DR Cassar, SM Mastelini, T Botari, E Alcobaca, AC de Carvalho, ...
Ceramics international 47 (17), 23958-23972, 2021
402021
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
402018
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
342019
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
312020
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
262021
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, 2018
26*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
252020
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
252018
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
232017
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
222022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20