MARQUES TAVARES, GABRIEL
MARQUES TAVARES, GABRIEL
Dipartimento di Informatica Giovanni Degli Antoni
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models
2024 R.S. Oyamada, G. MARQUES TAVARES, S. Barbon Junior, P. Ceravolo
FEEED: Feature Extraction from Event Data
2024 A. Maldonado, G. MARQUES TAVARES, R.S. Oyamada, P. Ceravolo, A. Thomas Seidl
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering
2024 R.S. Oyamada, G.M. Tavares, S.B. Junior, P. Ceravolo
A Scikit-learn Extension Dedicated to Process Mining Purposes
2023 R.S. Oyamada, G. MARQUES TAVARES, S. Barbon Junior, P. Ceravolo
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
Real-time probing of control-flow and data-flow in event logs
2022 P. Ceravolo, E. Damiani, E.F. Schepis, G.M. Tavares
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
Selecting Optimal Trace Clustering Pipelines with Meta-learning
2022 G. Marques Tavares, S. Barbon Junior, E. Damiani, P. Ceravolo
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
On the use of online clustering for anomaly detection in trace streams
2021 R.V. Neto, G. Marques Tavares, P. Ceravolo, 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
The CDESF toolkit: An introduction
2020 D. Mora, P. Ceravolo, E. Damiani, G. Marques Tavares
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
Analysis of Language Inspired Trace Representation for Anomaly Detection
2020 G. MARQUES TAVARES, S. Barbon Junior
Comparing Concept Drift Detection with Process Mining Software
2020 N. Jashchenko Omori, G. Marques Tavares, P. Ceravolo, S. Barbon
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