Saulo Martiello Mastelini

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Regression Method

Adaptive Histogram Equalization

Top Venues

Publications

João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance. CoRR (2024)
Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
SWINN: Efficient nearest neighbor search in sliding windows using graphs. Inf. Fusion 101 (2024)
Saulo Martiello Mastelini, Felipe Kenji Nakano, Celine Vens, André Carlos Ponce de Leon Ferreira de Carvalho
Online Extra Trees Regressor. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama
Online Anomaly Explanation: A Case Study on Predictive Maintenance. PKDD/ECML Workshops (2) (2022)
Caio Libera, Leandro Miranda, Flávia Bernardini, Saulo Martiello Mastelini, José Viterbo
'Right to Be Forgotten': Analyzing the Impact of Forgetting Data Using K-NN Algorithm in Data Stream Learning. EGOV (2022)
Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho
Using dynamical quantization to perform split attempts in online tree regressors. Pattern Recognit. Lett. 145 (2021)
Angelo Garangau Menezes, Saulo Martiello Mastelini
MegazordNet: combining statistical and machine learning standpoints for time series forecasting. CoRR (2021)
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
River: machine learning for streaming data in Python. J. Mach. Learn. Res. 22 (2021)
Gustavo Taiji Naozuka, Saulo Martiello Mastelini, Eliandro Rodrigues Cirilo, Neyva Maria Lopes Romeiro, Paulo Laerte Natti
Two-dimensional mesh generator in generalized coordinates implemented in Python. CoRR (2021)
Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) (2021)
Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho
Using dynamical quantization to perform split attempts in online tree regressors. CoRR (2020)
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
River: machine learning for streaming data in Python. CoRR (2020)
Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon Jr.
DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking. Appl. Soft Comput. 91 (2020)
Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini, Fabio Luiz Melquiades, Sylvio Barbon Junior
Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra. CoRR (2020)
Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho
2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors. BRACIS (2) (2020)
Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
On Ensemble Techniques for Data Stream Regression. IJCNN (2020)
Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.
Towards meta-learning for multi-target regression problems. CoRR (2019)
Everton Jose Santana, João Augusto Provin Ribeiro da Silva, Saulo Martiello Mastelini, Sylvio Barbon Jr.
Stock Portfolio Prediction by Multi-Target Decision Support. Braz. J. Inf. Syst. 12 (1) (2019)
Saulo Martiello Mastelini, Sylvio Barbon Jr., André Carlos Ponce de Leon Ferreira de Carvalho
Online Multi-target regression trees with stacked leaf models. CoRR (2019)
Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.
Towards Meta-Learning for Multi-Target Regression Problems. BRACIS (2019)
Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach. J. Signal Process. Syst. 91 (2) (2019)
Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior
A meta-learning approach for selecting image segmentation algorithm. Pattern Recognit. Lett. 128 (2019)
Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Jr.
Online Local Boosting: improving performance in online decision trees. CoRR (2019)
Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flavio de Melo, Sylvio Barbon Junior
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization. EURASIP J. Image Video Process. 2019 (2019)
Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon
Online Local Boosting: Improving Performance in Online Decision Trees. BRACIS (2019)
Saulo Martiello Mastelini, Matheus Gustavo Alves Sasso, Gabriel Fillipe Centini Campos, Marcio Schmiele, Maria Teresa Pedrosa Silva Clerici, Douglas Fernandes Barbin, Sylvio Barbon
Computer vision system for characterization of pasta (noodle) composition. J. Electronic Imaging 27 (05) (2018)
Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon
Benchmarking Multi-target Regression Methods. BRACIS (2018)
Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon
Making Data Stream Classification Tree-Based Ensembles Lighter. BRACIS (2018)
João Augusto Provin Ribeiro da Silva, Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Junior
Stock Portfolio Prediction by Multi-Target Decision Support. SBSI (2018)
Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri
Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. IJCNN (2018)
Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri
Stacking Methods for Hierarchical Classification. ICMLA (2017)
Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon
DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. BRACIS (2017)
Gabriel M. Tavares, Saulo Martiello Mastelini, Sylvio Barbon Jr.
User Classification on Online Social Networks by Post Frequency. SBSI (2017)
Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Jr.
Deep Regressor Stacking for Air Ticket Prices Prediction. SBSI (2017)
Saulo Martiello Mastelini, Matheus C. Silva, Ana Paula A. C. Barbon, Sylvio Barbon Junior
Marbling Grading Framework Applied on Meat Boutique Environment. SBSI (2016)