Saulo Martiello Mastelini

According to our database, Saulo Martiello Mastelini authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SWINN: Efficient nearest neighbor search in sliding windows using graphs.

Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama

Inf. Fusion, January, 2024

2023

Online Extra Trees Regressor.

Saulo Martiello Mastelini, Felipe Kenji Nakano, Celine Vens, André Carlos Ponce de Leon Ferreira de Carvalho

IEEE Trans. Neural Networks Learn. Syst., October, 2023

2022

Online Anomaly Explanation: A Case Study on Predictive Maintenance.

Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

'Right to Be Forgotten': Analyzing the Impact of Forgetting Data Using K-NN Algorithm in Data Stream Learning.

Caio Libera, Leandro Miranda, Flávia Bernardini, Saulo Martiello Mastelini, José Viterbo

Proceedings of the Electronic Government - 21st IFIP WG 8.5 International Conference, 2022

2021

Using dynamical quantization to perform split attempts in online tree regressors.

Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho

Pattern Recognit. Lett., 2021

River: machine learning for streaming data in Python.

Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet

J. Mach. Learn. Res., 2021

Two-dimensional mesh generator in generalized coordinates implemented in Python.

Gustavo Taiji Naozuka, Saulo Martiello Mastelini, Eliandro Rodrigues Cirilo, Neyva Maria Lopes Romeiro, Paulo Laerte Natti

CoRR, 2021

MegazordNet: combining statistical and machine learning standpoints for time series forecasting.

Angelo Garangau Menezes, Saulo Martiello Mastelini

CoRR, 2021

Fast and lightweight binary and multi-branch Hoeffding Tree Regressors.

Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra.

Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini, Fabio Luiz Melquiades, Sylvio Barbon Junior

CoRR, 2020

DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking.

Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon Jr.

Appl. Soft Comput., 2020

On Ensemble Techniques for Data Stream Regression.

Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors.

Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.

Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior

J. Signal Process. Syst., 2019

A meta-learning approach for selecting image segmentation algorithm.

Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior

Pattern Recognit. Lett., 2019

Stock Portfolio Prediction by Multi-Target Decision Support.

Everton Jose Santana, João Augusto Provin Ribeiro da Silva, Saulo Martiello Mastelini, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2019

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.

Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flavio de Melo, Sylvio Barbon Junior

EURASIP J. Image Video Process., 2019

Online Multi-target regression trees with stacked leaf models.

Saulo Martiello Mastelini, Sylvio Barbon Jr., André Carlos Ponce de Leon Ferreira de Carvalho

CoRR, 2019

Online Local Boosting: Improving Performance in Online Decision Trees.

Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Towards Meta-Learning for Multi-Target Regression Problems.

Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Computer vision system for characterization of pasta (noodle) composition.

Saulo Martiello Mastelini, Matheus Gustavo Alves Sasso, Gabriel Fillipe Centini Campos, Marcio Schmiele, Maria Teresa Pedrosa Silva Clerici, Douglas Fernandes Barbin, Sylvio Barbon

J. Electronic Imaging, 2018

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks.

Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Benchmarking Multi-target Regression Methods.

Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Making Data Stream Classification Tree-Based Ensembles Lighter.

Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

User Classification on Online Social Networks by Post Frequency.

Gabriel M. Tavares, Saulo Martiello Mastelini, Sylvio Barbon Jr.

Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Deep Regressor Stacking for Air Ticket Prices Prediction.

Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Jr.

Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Stacking Methods for Hierarchical Classification.

Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack.

Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Marbling Grading Framework Applied on Meat Boutique Environment.

Saulo Martiello Mastelini, Matheus C. Silva, Ana Paula A. C. Barbon, Sylvio Barbon Junior

Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016