MARQUES TAVARES, GABRIEL
MARQUES TAVARES, GABRIEL
Dipartimento di Informatica Giovanni Degli Antoni
META LEARNING IN PROCESS MINING: TOWARD A SYSTEMATIC APPROACH TO DESIGN DATA ANALYTICS PIPELINES WITH EVENT LOGS
2023 G. MARQUES TAVARES
Using Process Mining to Reduce Fraud in Digital Onboarding
2023 M. Camilo da Silva, G. MARQUES TAVARES, M. Cesar Gritti, P. Ceravolo, S. Barbon Junior
A Scikit-learn Extension Dedicated to Process Mining Purposes
2023 R.S. Oyamada, G. MARQUES TAVARES, S. Barbon Junior, P. Ceravolo
Real-time probing of control-flow and data-flow in event logs
2022 P. Ceravolo, E. Damiani, E.F. Schepis, G.M. Tavares
Selecting Optimal Trace Clustering Pipelines with Meta-learning
2022 G. Marques Tavares, S. Barbon Junior, E. Damiani, P. Ceravolo
Automating Process Discovery Through Meta-learning
2022 G. Marques Tavares, S. Barbon Junior, E. Damiani
Evaluation Goals for Online Process Mining: a Concept Drift Perspective
2022 P. Ceravolo, G. Marques Tavares, S.B. Junior, E. Damiani
Evaluating Trace Encoding Methods in Process Mining
2021 S. Barbon Junior, P. Ceravolo, E. Damiani, G. MARQUES TAVARES
Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection
2021 G. Marques Tavares, S. Barbon
Advances in Data Management in the Big Data Era
2021 A. Azzini, S. Barbon Jr, V. Bellandi, T. Catarci, P. Ceravolo, P. Cudre-Mauroux, S. Maghool, J. Pokorny, M. Scannapieco, F. Sedes, G.M. Tavares, R. Wrembel
On the use of online clustering for anomaly detection in trace streams
2021 R.V. Neto, G. Marques Tavares, P. Ceravolo, S. Barbon
Comparing Concept Drift Detection with Process Mining Software
2020 N. Jashchenko Omori, G. Marques Tavares, P. Ceravolo, S. Barbon
A multi-label classification system to distinguish among fake, satirical, objective and legitimate news in Brazilian Portuguese
2020 J.I. De Morais, H.Q. Abonizio, G. Marques Tavares, A.A. Da Fonseca, S. Barbon
The CDESF toolkit: An introduction
2020 D. Mora, P. Ceravolo, E. Damiani, G. Marques Tavares
Analysis of Language Inspired Trace Representation for Anomaly Detection
2020 G. MARQUES TAVARES, S. Barbon Junior
Anomaly Detection on Event Logs with a Scarcity of Labels
2020 S. Barbon Junior, P. Ceravolo, E. Damiani, N.J. Omori, G.M. Tavares
Language-independent fake news detection : English, Portuguese, and Spanish mutual features
2020 H. Queiroz Abonizio, J. Ignacio de Morais, G. MARQUES TAVARES, S. Barbon Junior
Leveraging Anomaly Detection in Business Process with Data Stream Mining
2019 G. MARQUES TAVARES, V. Turrisi da Costa, V. Martins, P. Ceravolo, S.B. Jr.
Synthetic Event Streams
2019 G. MARQUES TAVARES, S.B. Jr., P. Ceravolo
Deciding among fake, satirical, objective and legitimate news: A multi-label classification system
2019 J. Ignácio de Morais, H. Queiroz Abonizio, G. MARQUES TAVARES, A. Azevedo da Fonseca, S.B. Jr.