Process Mining
Optimizing business processes is vital for achieving organizational strategic goals. This project explores advanced process knowledge using machine learning and computational intelligence. Ongoing works focus on process discovery, quality metrics, concept drift, interpretability and explainability, prediction and prescription, bias and fairness, LLMs, trace clustering, graph embeddings, sequencial association rules, semantic parsing, plain language, and OCEL, […]
Social Robotics
Social robots are designed to enhance human activities by providing interactive support. This project explores their role in assisting specific groups across diverse contexts. Key applications include diagnosing depression in older adults, promoting activities that support mental well-being, improving cognitive engagement, and serving as mentors for digital literacy. The project focuses on leveraging social robotics […]
Alignment-based conformance checking for stochastic Petri nets (2025)
Almeida, M. P., Delgado, K. V., Peres, S. P., Fantinato, M.
Enhancing business process clarity: enabling the development of more understandable BPMN models through prioritized guidelines (2025)
Richter, T., Fantinato, M., Thom, L. H.
An integrated social robot and virtual assistant solution to support medical management for older adults (2025)
Pita, M. A. B., Fantinato, M., Hung, P. C. K.
Enhancing remaining time prediction in business processes through graph embedding (2025)
Neubauer, T. R., Peeperkorn, J., Weerdt, J., Fantinato, M., Peres, S. P.
Business process design support with automated interviews (2025)
Castro, D. S., Costa, M. C. B., Fantinato, M.
Applying text-to-SQL in process mining: leveraging natural language for data insights (2025)
Yamate, B., Neubauer, T. R., Fantinato, M., Peres, S. P.