Anomaly Detection on Student Assessment in E-Learning Environments. - Emanuel Carneiro; Patrícia Drapal; Roberta A. de A. Fagundes; Alexandre M. A. Maciel; Rodrigo L. Rodrigues (ICALT, 2019)

A Clustering-Based Method to Anomaly Detection in Thermal Power Plants. - Patrícia Drapal; Jullya Clemente; Dailys Maite Aliaga Reyes; Starch Melo de Souza; Anthony Lins; Ricardo B. C. Prudêncio (IJCNN, 2022)

Meta-Learning and Novelty Detection for Machine Learning with Reject Option. - Patrícia Drapal; Telmo de Menezes e Silva Filho; Ricardo B. C. Prudêncio (IJCNN, 2024)

Assessor Models for Explaining Instance Hardness in Classification Problems. - Ricardo B. C. Prudêncio; Ana Carolina Lorena; Telmo de Menezes e Silva Filho; Patrícia Drapal; Maria Gabriela Valeriano (IJCNN, 2024)

Towards explainable evaluation: Explaining predicted performance using local performance regions. - Patrícia Drapal; Ricardo B. C. Prudêncio; Telmo de Menezes e Silva Filho (Appl. Soft Comput., 2024)