An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. - Leopoldo Soares de Melo Junior; Franco Maria Nardini; Chiara Renso; José Antônio Fernandes de Macêdo (ICMLA, 2019)

KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. - Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; José A. F. de Macêdo (ICTAI, 2019)

On combining dynamic selection, sampling, and pool generators for credit scoring. - Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; José Antônio Fernandes de Macêdo (MLDM (2), 2019)

Model-centered Ensemble for Anomaly Detection in Time Series. - Erick L. Trentini; Ticiana L. Coelho da Silva; Leopoldo Melo Junior; José A. F. de Macêdo (ICAART (2), 2020)

A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems. - Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; Roberto Trani; José Antônio Fernandes de Macêdo (Expert Syst. Appl., 2020)

Using deep learning for trajectory classification in imbalanced dataset. - Nicksson Ckayo Arrais de Freitas; Ticiana L. Coelho da Silva; José Antônio Fernandes de Macêdo; Leopoldo Melo Junior (FLAIRS, 2021)

Using Deep Learning for Trajectory Classification. - Nicksson C. A. Freitas; Ticiana L. Coelho da Silva; José Antônio Fernandes de Macêdo; Leopoldo Melo Junior; Matheus G. Cordeiro (ICAART (2), 2021)

RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. - Leopoldo Melo Junior; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Chiara Renso (ICTAI, 2021)