Marbling Grading Framework Applied on Meat Boutique Environment. - Saulo Martiello Mastelini; Matheus Camilo da Silva; Ana Paula A. C. Barbon; Sylvio Barbon Junior (SBSI, 2016)

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. - Saulo Martiello Mastelini; Everton Jose Santana; Ricardo Cerri; Sylvio Barbon (BRACIS, 2017)

Stacking Methods for Hierarchical Classification. - Felipe Kenji Nakano; Saulo Martiello Mastelini; Sylvio Barbon; Ricardo Cerri (ICMLA, 2017)

Deep Regressor Stacking for Air Ticket Prices Prediction. - Everton Jose Santana; Saulo Martiello Mastelini; Sylvio Barbon Jr. (SBSI, 2017)

User Classification on Online Social Networks by Post Frequency. - Gabriel M. Tavares; Saulo Martiello Mastelini; Sylvio Barbon Jr. (SBSI, 2017)

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 (BRACIS, 2018)

Benchmarking Multi-target Regression Methods. - Saulo Martiello Mastelini; Everton Jose Santana; Victor Guilherme Turrisi da Costa; Sylvio Barbon (BRACIS, 2018)

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. - Felipe Kenji Nakano; Saulo Martiello Mastelini; Sylvio Barbon; Ricardo Cerri (IJCNN, 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)

Towards Meta-Learning for Multi-Target Regression Problems. - Gabriel Jonas Aguiar; Everton José Santana; Saulo Martiello Mastelini; Rafael Gomes Mantovani; Sylvio Barbon Jr. (BRACIS, 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 (BRACIS, 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)

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)

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)

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)

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)

2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors. - Saulo Martiello Mastelini; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS (2), 2020)

On Ensemble Techniques for Data Stream Regression. - Heitor Murilo Gomes; Jacob Montiel; Saulo Martiello Mastelini; Bernhard Pfahringer; Albert Bifet (IJCNN, 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)

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)

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 (ICDM (Workshops), 2021)

MegazordNet: combining statistical and machine learning standpoints for time series forecasting. - Angelo Garangau Menezes; Saulo Martiello Mastelini (CoRR, 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)

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)

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)

'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 (EGOV, 2022)

Online Anomaly Explanation: A Case Study on Predictive Maintenance. - Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Ehsan Aminian; Bruno Veloso; João Gama 001 (PKDD/ECML Workshops (2), 2022)

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., 2023)

Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution. - Sérgio B. Júnior; Saulo Martiello Mastelini; Marcos B. S. Paula; Moisés R. Santos; Ewerton Guarnier; Donato da Silva-Filho; Maria E. C. M. Santos; Thaina R. Fernandes; Victor C. V. Rosa (ICMLA, 2024)

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance. - João Gama 001; Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Bruno Veloso (CoRR, 2024)

From fault detection to anomaly explanation: A case study on predictive maintenance. - João Gama 001; Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Bruno Veloso (J. Web Semant., 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 001 (Inf. Fusion, 2024)

Efficient online tree, rule-based and distance-based algorithms. - Saulo Martiello Mastelini; André Carlos Ponce de Leon Ferreira de Carvalho (J. Braz. Comput. Soc., 2025)

DeepRiver: A Deep Learning Library for Data Streams. - Cedric Kulbach; Lucas Cazzonelli; Hoang-Anh Ngo; Max Halford; Saulo Martiello Mastelini (J. Open Source Softw., 2025)

Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts. - Gianlucca L. Zuin; Saulo Martiello Mastelini; Túlio C. Loures; Adriano Veloso (CoRR, 2025)