no code implementations • 3 Apr 2024 • Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior
In addressing this challenge, especially in complex scenarios, we introduce the Decision Predicate Graph (DPG) as a model-agnostic tool to provide a global interpretation of the model.
no code implementations • 17 Jun 2023 • Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil van der Aalst
Machine learning models are routinely integrated into process mining pipelines to carry out tasks like data transformation, noise reduction, anomaly detection, classification, and prediction.
1 code implementation • 31 Mar 2023 • Rafael S. Oyamada, Gabriel M. Tavares, Sylvio Barbon Junior, Paolo Ceravolo
This architecture facilitates the simulation of event logs that adhere to specific constraints by incorporating declarative-based rules into the learning phase as an attempt to fill the gap of incorporating information into deep learning models to perform what-if analysis.
no code implementations • 31 Jul 2020 • Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho
Our approach is grounded on a small set of optimized values able to obtain predictive performance values better than default settings provided by popular tools.
2 code implementations • 5 Dec 2018 • Rafael Gomes Mantovani, Tomáš Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho
DT induction algorithms present high predictive performance and interpretable classification models, though many HPs need to be adjusted.
1 code implementation • 16 May 2018 • Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior
Thus, SVFDT is a suitable option for data stream mining with memory and time limitations, recommended as a weak learner in ensemble-based solutions.