Process mining through artificial neural networks and support vector machines: A systematic literature review. - Ana Rocío Cárdenas Maita; Lucas Corrêa Martins; Carlos Ramón López Paz; Sarajane Marques Peres; Marcelo Fantinato (Bus. Process. Manag. J., 2015)

Mining unstructured processes: An exploratory study on a distance learning domain. - Ana Rocío Cárdenas Maita; Marcelo Fantinato; Sarajane Marques Peres; Lucinéia Heloisa Thom; Patrick C. K. Hung (IJCNN, 2017)

A systematic mapping study of process mining. - Ana Rocío Cárdenas Maita; Lucas Corrêa Martins; Carlos Ramón López Paz; Laura Rafferty; Patrick C. K. Hung; Sarajane Marques Peres; Marcelo Fantinato (Enterp. Inf. Syst., 2018)

Business process analysis based on anomaly detection in event logs: a study on an incident management case. - Esther Maria Rojas Krugger; Ana Rocío Cárdenas Maita; Juliana Cristina Barbosa Alves; Marcelo Fantinato; Sarajane Marques Peres (HICSS, 2021)

Towards a Business-Oriented Approach to Visualization-Supported Interpretability of Prediction Results in Process Mining. - Ana Rocío Cárdenas Maita; Marcelo Fantinato; Sarajane Marques Peres; Fabrizio Maria Maggi (ICEIS (1), 2023)

Supporting Interpretability in Predictive Process Monitoring Using Process Maps. - Ana Rocío Cárdenas Maita; Marcelo Fantinato; Sarajane Marques Peres; Fabrizio Maria Maggi (ICEIS (Revised Selected Papers 1), 2023)