Code

Here is a list of libraries developed by me and my research team.

DESlib

A Python library for dynamic classifier and ensemble selection. The library is now part of scikit-learn-contrib:

https://github.com/scikit-learn-contrib/DESlib

Synthetic Datasets

A python code for the generation of synthetic datasets for pattern recognition.

https://github.com/Menelau/synthetic_datasets

Hate Speech using MCS

Code for the paper: “Selecting and combining complementary feature representations and classifiers for hate speech detection” by Rafael M. O. Cruz, Woshington V. de Souza and George D. C. Cavalcanti.

https://github.com/Menelau/Hate-Speech-MCS

Dynamic model recommender

Code from the experiments reported in the paper M. A. Souza, R. Sabourin, G. D. C. Cavalcantiy and R. M. O. Cruz, “Multi-label learning for dynamic model type recommendation”, published in the proceedings of International Joint Conference on Neural Networks, 2020.

https://github.com/marianaasouza/dynamic-model-recommender