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ORCIDSaulo Martiello Mastelini
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2020 – today
- 2024
[j11]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: 101979 (2024)- [j10]João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso:
From fault detection to anomaly explanation: A case study on predictive maintenance. J. Web Semant. 81: 100821 (2024) - [i9]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 abs/2404.14455 (2024) - 2023
- [j9]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): 6755-6767 (2023) - 2022
- [c16]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: 530-542 - [c15]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: 383-399 - 2021
- [j8]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: 110:1-110:8 (2021) - [j7]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: 37-42 (2021) - [c14]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: 380-388 - [i8]Angelo Garangau Menezes, Saulo Martiello Mastelini:
MegazordNet: combining statistical and machine learning standpoints for time series forecasting. CoRR abs/2107.01017 (2021) - [i7]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 abs/2110.12875 (2021) - 2020
- [j6]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: 106215 (2020) - [c13]Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors. BRACIS (2) 2020: 337-351 - [c12]Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet:
On Ensemble Techniques for Data Stream Regression. IJCNN 2020: 1-8 - [i6]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 abs/2002.04312 (2020) - [i5]Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
Using dynamical quantization to perform split attempts in online tree regressors. CoRR abs/2012.00083 (2020) - [i4]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 abs/2012.04740 (2020)
2010 – 2019
- 2019
- [j5]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: 59 (2019) - [j4]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): 5-27 (2019) - [j3]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: 480-487 (2019) - [j2]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): 191-215 (2019) - [c11]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: 132-137 - [c10]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: 377-382 - [i3]Saulo Martiello Mastelini, Sylvio Barbon Jr., André Carlos Ponce de Leon Ferreira de Carvalho:
Online Multi-target regression trees with stacked leaf models. CoRR abs/1903.12483 (2019) - [i2]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 abs/1907.07207 (2019) - [i1]Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.:
Towards meta-learning for multi-target regression problems. CoRR abs/1907.11277 (2019) - 2018
- [j1]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): 053021 (2018) - [c9]Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon:
Benchmarking Multi-target Regression Methods. BRACIS 2018: 396-401 - [c8]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: 480-485 - [c7]Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri:
Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. IJCNN 2018: 1-8 - [c6]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: 34:1-34:8 - 2017
- [c5]Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon:
DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. BRACIS 2017: 19-24 - [c4]Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri:
Stacking Methods for Hierarchical Classification. ICMLA 2017: 289-296 - [c3]Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Jr.:
Deep Regressor Stacking for Air Ticket Prices Prediction. SBSI 2017: 25-31 - [c2]Gabriel M. Tavares, Saulo Martiello Mastelini, Sylvio Barbon Jr.:
User Classification on Online Social Networks by Post Frequency. SBSI 2017: 464-471 - 2016
- [c1]Saulo Martiello Mastelini, Matheus C. Silva, Ana Paula A. C. Barbon, Sylvio Barbon Junior:
Marbling Grading Framework Applied on Meat Boutique Environment. SBSI 2016: 542-549
Coauthor Index
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last updated on 2024-12-03 21:21 CET by the dblp team
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