Gabriel Marques Tavares

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Business Process

Anomaly Detection

Brazilian Portuguese

Top Venues

Braz. J. Inf. Syst.

ICPM Doctoral Consortium / Demo

Publications

Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. CoRR (2024)
Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. CoRR (2024)
Malina Grigore, Gabriel Marques Tavares, Matheus Camilo da Silva, Paolo Ceravolo, Sylvio Barbon Junior
Automated Trace Clustering Pipeline Synthesis in Process Mining. Inf. 15 (4) (2024)
Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering. CAiSE (2024)
Gabriel Marques Tavares, Sylvio Barbon Junior
Matching business process behavior with encoding techniques via meta-learning: An anomaly detection study. Comput. Sci. Inf. Syst. 20 (3) (2023)
Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl
FEEED: Feature Extraction from Event Data. ICPM Doctoral Consortium / Demo (2023)
Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo
A Scikit-learn Extension Dedicated to Process Mining Purposes. CoopIS (Demos) (2023)
Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani
Evaluation Goals for Online Process Mining: A Concept Drift Perspective. IEEE Trans. Serv. Comput. 15 (4) (2022)
Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo
Selecting Optimal Trace Clustering Pipelines with Meta-learning. BRACIS (1) (2022)
Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani
Automating Process Discovery Through Meta-learning. CoopIS (2022)
Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani
Evaluation Goals for Online Process Mining: a Concept Drift Perspective. SERVICES (2022)
Gabriel Marques Tavares
Automating the Design of Process Mining Pipelines through Meta-Learning (Extended Abstract). ICPM Doctoral Consortium / Demo (2021)
Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares
Selecting Optimal Trace Clustering Pipelines with AutoML. CoRR (2021)
Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares
Using Meta-learning to Recommend Process Discovery Methods. CoRR (2021)
Gabriel Marques Tavares, Sylvio Barbon Junior
Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection. ADBIS (Short Papers) (2021)
Hugo Queiroz Abonizio, Janaína Ignácio de Morais, Gabriel Marques Tavares, Sylvio Barbon Junior
Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features. Future Internet 12 (5) (2020)
Gabriel Marques Tavares, Sylvio Barbon
Analysis of Language Inspired Trace Representation for Anomaly Detection. ADBIS/TPDL/EDA Workshops (2020)
Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.
A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese. Braz. J. Inf. Syst. 13 (4) (2020)
Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares
Anomaly Detection on Event Logs with a Scarcity of Labels. ICPM (2020)
Davide Mora, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares
The CDESF Toolkit: An Introduction. ICPM Doctoral Consortium / Tools (2020)
Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.
Comparing Concept Drift Detection with Process Mining Software. Braz. J. Inf. Syst. 13 (4) (2020)
Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares
Evaluating Trace Encoding Methods in Process Mining. DataMod@CIKM (2020)
Gabriel Marques Tavares, Victor Guilherme Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Jr.
Leveraging Anomaly Detection in Business Process with Data Stream Mining. Braz. J. Inf. Syst. 12 (1) (2019)
Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.
Comparing Concept Drift Detection with Process Mining Tools. SBSI (2019)
Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.
Deciding among Fake, Satirical, Objective and Legitimate news: A multi-label classification system. SBSI (2019)
Gabriel Marques Tavares, Paolo Ceravolo, Victor G. Turrisi da Costa, Ernesto Damiani, Sylvio Barbon Junior
Overlapping Analytic Stages in Online Process Mining. SCC (2019)
Gabriel Marques Tavares, Victor G. Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Junior
Anomaly Detection in Business Process based on Data Stream Mining. SBSI (2018)
Sylvio Barbon Junior, Gabriel Marques Tavares, Victor G. Turrisi da Costa, Paolo Ceravolo, Ernesto Damiani
A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream. WWW (Companion Volume) (2018)
Sylvio Barbon Jr., Gabriel Marques Tavares, Guilherme Sakaji Kido
Artificial and Natural Topic Detection in Online Social Networks. Braz. J. Inf. Syst. 10 (1) (2017)