160 citations · 243 across the 8 of their papers we have counts for
4 papers · 1 filter
River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8
River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers, performan…
Using dynamical quantization to perform split attempts in online tree regressors
Saulo Martiello Mastelini, Andre Carlos Ponce de Leon Ferreira de Carvalho
A central aspect of online decision tree solutions is evaluating the incoming data and enabling model growth. For such, trees much deal with different kinds of input features and p…
Predicting and interpreting oxide glass properties by machine learning using large datasets
Daniel R. Cassar, Saulo Martiello Mastelini, Tiago Botari +3
With the advent of powerful computer simulation techniques, it is time to move from the widely used knowledge-guided empirical methods to approaches driven by data science, mainly…
Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra
Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini +2
Machine Learning (ML) algorithms have been used for assessing soil quality parameters along with non-destructive methodologies. Among spectroscopic analytical methodologies, energy…