Saulo Martiello Mastelini

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Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
Everton Jose SantanaVisiting Instructor, Stanford UniversityVerified email at stanford.edu
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Edesio AlcobaçaPhD candidate, Universidade de São PauloVerified email at usp.br
Ricardo CerriAssistant Professor, Department of Computer Science, Federal University of São CarlosVerified email at ufscar.br
Tiago BotariResearcherVerified email at asml.com
Gabriel Jonas AguiarPhD Candidate at Virginia Commonwealth UniversityVerified email at vcu.edu
Gabriel F. C. CamposComputer Science, State University of LondrinaVerified email at uel.br
Felipe Kenji NakanoPhD Student KU Leuven KULAKVerified email at kuleuven.be
Victor G. Turrisi da CostaApplied Scientist Intern @ Amazon Berlin | PhD Student @ University of TrentoVerified email at unitn.it
Elza Iouko IdaProfessora da Área de Ciência de Alimentos da Universidade Estadual de LondrinaVerified email at uel.br
Leonimer Flávio de MeloProfessor Dr. de Engenharia Elétrica, Universidade Estadual de LondrinaVerified email at uel.br
Alessandro UlriciAssociate Professor of Analytical Chemistry and Chemometrics, University of Modena and Reggio EmiliaVerified email at unimore.it
Fabio Luiz MelquiadesPhysics professor/researcher, UELVerified email at uel.br
ROSALBA CALVINIUniversità di Modena e Reggio EmiliaVerified email at unimore.it
Jessica Fernandes LopesPhD Student, State University of Londrina (UEL)Verified email at uel.br
José Luis Seixas JuniorPhD student, Eötvös Loránd UniversityVerified email at inf.elte.hu
Rodrigo Capobianco GuidoSão Paulo State University (UNESP)Verified email at ieee.org
Adriana Lourenço SoaresUniversidade Estadual de LondrinaVerified email at uel.br
Gabriel Marques TavaresPhD Candidate, Università degli Studi di MilanoVerified email at unimi.it

Saulo Martiello Mastelini

Ph.D., Universidade de São Paulo

Verified email at usp.br - Homepage

Multi-output prediction multi-target regression data streams


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River: machine learning for streaming data in python J Montiel, M Halford, SM Mastelini, G Bolmier, R Sourty, R Vaysse, ... The Journal of Machine Learning Research 22 (1), 4945-4952, 2021	92	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	74	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	71	2016
Explainable machine learning algorithms for predicting glass transition temperatures E Alcobaca, SM Mastelini, T Botari, BA Pimentel, DR Cassar, ... Acta Materialia 188, 92-100, 2020	56	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	52	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	37	2020
Deep regressor stacking for air ticket prices prediction E Santana, S Mastelini Anais do XIII simpósio brasileiro de sistemas de informação, 25-31, 2017	33	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	30	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	30	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	27	2019
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	26	2019
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	24	2020
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	19	2017
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	18	2018
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	17*	2019
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	16	2021
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	14	2017
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	13	2021
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	13	2020
Benchmarking multi-target regression methods SM Mastelini, EJ Santana, VGT da Costa, S Barbon 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 396-401, 2018	11	2018

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