Multi-label Stream Classification Software and Datasets

Access HERE source code and datasets from our contribution published (to appear) on the 36th ACM Symposium on Applied Computing (2021).
In this contribution, we propose an online unsupervised incremental method based on self-organizing maps for multi-label stream classification in scenarios with infinitely delayed labels.

Hierarchical Multi-Label Software and Datasets

Access HERE source code and datasets for the following HMC methods:
- Hierachical Multi-label Classification with a Genetic Algorithm (HMC-GA), as described by Cerri et. al., 2019
- Hierarchical Multi-label Classification with Neural Networks, as described by Cerri et. al., 2015 and Cerri et. al., 2016

Introduction to Neural Networks - ERAMIA 2020 Mini-Course (Portuguese)

Access the presentations and R notebooks related to the mini-course given at ERAMIA 2020. Access the material HERE!