Sfoglia per Autore
Artificial and Natural Topic Detection in Online Social Networks
2017 S. Barbon Jr, G. MARQUES TAVARES, G. Kido
User Classification on Online Social Networks by Post Frequency
2017 G. MARQUES TAVARES, S. Mastelini, S.B. Jr.
Detection of human, legitimate bot, and malicious bot in online social networks based on wavelets
2018 S. Barbon Jr, G. Campos, G. MARQUES TAVARES, R. Igawa, M. L Proença Jr, R. Capobianco Guido
A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream
2018 Sylvio Barbon Junior, G. MARQUES TAVARES, V.G. Turrisi da Costa, P. Ceravolo, E. Damiani
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.
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.
Overlapping Analytic Stages in Online Process Mining
2019 G.M. Tavares, P. Ceravolo, V.G. Turrisi Da Costa, E. Damiani, S. Barbon Junior
Synthetic Event Streams
2019 G. MARQUES TAVARES, S.B. Jr., P. Ceravolo
Analysis of Language Inspired Trace Representation for Anomaly Detection
2020 G. MARQUES TAVARES, S. Barbon Junior
The CDESF toolkit: An introduction
2020 D. Mora, P. Ceravolo, E. Damiani, G. Marques Tavares
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
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
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
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
Evaluating Trace Encoding Methods in Process Mining
2021 S. Barbon Junior, P. Ceravolo, E. Damiani, G. MARQUES TAVARES
Automating Process Discovery Through Meta-learning
2022 G. Marques Tavares, S. Barbon Junior, E. Damiani
Selecting Optimal Trace Clustering Pipelines with Meta-learning
2022 G. Marques Tavares, S. Barbon Junior, E. Damiani, P. Ceravolo
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