Gabriel Marques Tavares

According to our database, Gabriel Marques Tavares authored at least 39 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Trace Clustering Pipeline Synthesis in Process Mining.

Malina Grigore, Gabriel Marques Tavares, Matheus Camilo da Silva, Paolo Ceravolo, Sylvio Barbon Junior

Inf., April, 2024

Problem-oriented AutoML in Clustering.

Matheus Camilo da Silva, Gabriel Marques Tavares, Eric Medvet, Sylvio Barbon Junior

CoRR, 2024

ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data.

Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier

CoRR, 2024

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles.

Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior

Proceedings of the Explainable Artificial Intelligence, 2024

Enhancing Predictive Process Monitoring with Time-Related Feature Engineering.

Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo

Proceedings of the Advanced Information Systems Engineering, 2024

CoSMo: A Framework to Instantiate Conditioned Process Simulation Models.

Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo

Proceedings of the Business Process Management - 22nd International Conference, 2024

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining.

Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl

Proceedings of the Business Process Management - 22nd International Conference, 2024

2023

Trace encoding in process mining: A survey and benchmarking.

Gabriel M. Tavares, Rafael Seidi Oyamada, Sylvio Barbon, Paolo Ceravolo

Eng. Appl. Artif. Intell., November, 2023

CoSMo: a Framework for Implementing Conditioned Process Simulation Models.

Rafael Seidi Oyamada, Gabriel M. Tavares, Paolo Ceravolo

CoRR, 2023

Matching business process behavior with encoding techniques via meta-learning: An anomaly detection study.

Gabriel Marques Tavares, Sylvio Barbon Junior

Comput. Sci. Inf. Syst., 2023

FEEED: Feature Extraction from Event Data.

Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl

Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

A Scikit-learn Extension Dedicated to Process Mining Purposes.

Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo

Proceedings of the Demonstration Track co-located with the International Conference on Cooperative Information Systems 2023, 2023

2022

Synthetic Event Streams.

Gabriel Marques Tavares, Sylvio Barbon Jr., Paolo Ceravolo

Dataset, May, 2022

Evaluation Goals for Online Process Mining: A Concept Drift Perspective.

Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani

IEEE Trans. Serv. Comput., 2022

Automating Process Discovery Through Meta-learning.

Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani

Proceedings of the Cooperative Information Systems - 28th International Conference, 2022

Selecting Optimal Trace Clustering Pipelines with Meta-learning.

Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Advances in Data Management in the Big Data Era.

Antonia Azzini, Sylvio Barbon Jr., Valerio Bellandi, Tiziana Catarci, Paolo Ceravolo, Philippe Cudré-Mauroux, Samira Maghool, Jaroslav Pokorný, Monica Scannapieco, Florence Sèdes, Gabriel Marques Tavares, Robert Wrembel

Proceedings of the Advancing Research in Information and Communication Technology, 2021

Selecting Optimal Trace Clustering Pipelines with AutoML.

Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

CoRR, 2021

Using Meta-learning to Recommend Process Discovery Methods.

Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

CoRR, 2021

On the use of online clustering for anomaly detection in trace streams.

Renato Vertuam Neto, Gabriel M. Tavares, Paolo Ceravolo, Sylvio Barbon

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

Automating the Design of Process Mining Pipelines through Meta-Learning (Extended Abstract).

Gabriel Marques Tavares

Proceedings of the ICPM Doctoral Consortium and Demo Track 2021 co-located with 3rd International Conference on Process Mining, 2021

Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection.

Gabriel Marques Tavares, Sylvio Barbon Junior

Proceedings of the New Trends in Database and Information Systems, 2021

2020

Comparing Concept Drift Detection with Process Mining Software.

Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2020

A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese.

Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2020

Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features.

Hugo Queiroz Abonizio, Janaína Ignácio de Morais, Gabriel Marques Tavares, Sylvio Barbon Junior

Future Internet, 2020

The CDESF Toolkit: An Introduction.

Davide Mora, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), 2020

Anomaly Detection on Event Logs with a Scarcity of Labels.

Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares

Proceedings of the 2nd International Conference on Process Mining, 2020

Evaluating Trace Encoding Methods in Process Mining.

Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

Proceedings of the From Data to Models and Back - 9th International Symposium, 2020

Analysis of Language Inspired Trace Representation for Anomaly Detection.

Gabriel Marques Tavares, Sylvio Barbon

Proceedings of the ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 2020

2019

Leveraging Anomaly Detection in Business Process with Data Stream Mining.

Gabriel Marques Tavares, Victor Guilherme Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2019

Comparing Concept Drift Detection with Process Mining Tools.

Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Deciding among Fake, Satirical, Objective and Legitimate news: A multi-label classification system.

Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Overlapping Analytic Stages in Online Process Mining.

Gabriel Marques Tavares, Paolo Ceravolo, Victor G. Turrisi da Costa, Ernesto Damiani, Sylvio Barbon Junior

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets.

Sylvio Barbon Junior, Gabriel F. C. Campos, Gabriel M. Tavares, Rodrigo Augusto Igawa, Mario Lemes Proença Jr., Rodrigo Capobianco Guido

ACM Trans. Multim. Comput. Commun. Appl., 2018

A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream.

Sylvio Barbon Junior, Gabriel Marques Tavares, Victor G. Turrisi da Costa, Paolo Ceravolo, Ernesto Damiani

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Anomaly Detection in Business Process based on Data Stream Mining.

Gabriel Marques Tavares, Victor G. Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Junior

Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

2017

Artificial and Natural Topic Detection in Online Social Networks.

Sylvio Barbon Jr., Gabriel Marques Tavares, Guilherme Sakaji Kido

Braz. J. Inf. Syst., 2017

A Framework for Trace Clustering and Concept-drift Detection in Event Streams.

Sylvio Barbon Junior, Gabriel M. Tavares, Paolo Ceravolo, Ernesto Damiani

Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), 2017

User Classification on Online Social Networks by Post Frequency.

Gabriel M. Tavares, Saulo Martiello Mastelini, Sylvio Barbon Jr.

Proceedings of the 13th Brazilian Symposium on Information Systems, 2017