Saulo Martiello Mastelini

Orcid: 0000-0002-0092-3572

According to our database1, Saulo Martiello Mastelini authored at least 30 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SWINN: Efficient nearest neighbor search in sliding windows using graphs.
Inf. Fusion, January, 2024

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance.
CoRR, 2024

2023
Online Extra Trees Regressor.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

2022
Online Anomaly Explanation: A Case Study on Predictive Maintenance.
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.
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.
Pattern Recognit. Lett., 2021

River: machine learning for streaming data in Python.
J. Mach. Learn. Res., 2021

Two-dimensional mesh generator in generalized coordinates implemented in Python.
CoRR, 2021

MegazordNet: combining statistical and machine learning standpoints for time series forecasting.
CoRR, 2021

Fast and lightweight binary and multi-branch Hoeffding Tree Regressors.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra.
CoRR, 2020

DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking.
Appl. Soft Comput., 2020

On Ensemble Techniques for Data Stream Regression.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.
J. Signal Process. Syst., 2019

A meta-learning approach for selecting image segmentation algorithm.
Pattern Recognit. Lett., 2019

Stock Portfolio Prediction by Multi-Target Decision Support.
Braz. J. Inf. Syst., 2019

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.
EURASIP J. Image Video Process., 2019

Online Multi-target regression trees with stacked leaf models.
CoRR, 2019

Online Local Boosting: Improving Performance in Online Decision Trees.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Towards Meta-Learning for Multi-Target Regression Problems.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Computer vision system for characterization of pasta (noodle) composition.
J. Electronic Imaging, 2018

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Benchmarking Multi-target Regression Methods.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Making Data Stream Classification Tree-Based Ensembles Lighter.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
User Classification on Online Social Networks by Post Frequency.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Deep Regressor Stacking for Air Ticket Prices Prediction.
Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

Stacking Methods for Hierarchical Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Marbling Grading Framework Applied on Meat Boutique Environment.
Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016


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