1. A New Time Series Framework for Forest Fire Risk Forecasting and Classification - Zamith B., Soriano, B., Narciso, M., Furtado, D., Cerri R. (2023). International Joint Conference on Neural Networks (IJCNN).
  2. Predictive Bi-Clustering Trees for Hierarchical Multi-label Classification - Zamith B., Nakano, K. F., Cerri R., Vens C. (2020). European Conference on Machine Learning (ECML-PKDD).
  3. Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements - Zamith B., Pereira, T. G., Nakano, K. F., Cerri R. (2018). Brazilian Conference on Intelligent Systems (BRACIS).
  4. A Genetic Algorithm for Transposable Elements Hierarchical Classification Rule Induction - Pereira, T. G., Zamith B., Cerri R. (2018). IEEE Congress on Evolutionary Computation (IEEE CEC).
  5. A New Machine Learning Dataset for Hierarchical Classification of Transposable Elements - Zamith B., Cerri R. (2016). National Meeting of Artificial and Computational Intelligence (ENIAC).
  6. Decisions Trees for Hierarchical Classification of Transposable Elements - Zamith B., Gomes Mantovani R., Schietgat L., Vens C., Cerri R. (2016). Proceedings of the 25th Belgian-Dutch Machine Learning Conference (Benelearn).

Others

  1. Undergraduate Thesis (in Portuguese): Classificação Hierárquica Multirrótulo de Funções de Proteínas via Predição de Interações - Zamith B. (2020).