User Classification on Online Social Networks by Post Frequency. - Gabriel M. Tavares; Saulo Martiello Mastelini; Sylvio Barbon Jr. (SBSI, 2017)

A Framework for Trace Clustering and Concept-drift Detection in Event Streams. - Sylvio Barbon Junior; Gabriel M. Tavares; Paolo Ceravolo; Ernesto Damiani (SIMPDA, 2017)

Artificial and Natural Topic Detection in Online Social Networks. - Sylvio Barbon Jr.; Gabriel Marques Tavares; Guilherme Sakaji Kido (Braz. J. Inf. Syst., 2017)

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 (SBSI, 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 (WWW (Companion Volume), 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)

Overlapping Analytic Stages in Online Process Mining. - Gabriel Marques Tavares; Paolo Ceravolo; Victor G. Turrisi da Costa; Ernesto Damiani; Sylvio Barbon Junior (SCC, 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. (SBSI, 2019)

Comparing Concept Drift Detection with Process Mining Tools. - Nicolas Jashchenko Omori; Gabriel Marques Tavares; Paolo Ceravolo; Sylvio Barbon Jr. (SBSI, 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)

Analysis of Language Inspired Trace Representation for Anomaly Detection. - Gabriel Marques Tavares; Sylvio Barbon (ADBIS/TPDL/EDA Workshops, 2020)

Evaluating Trace Encoding Methods in Process Mining. - Sylvio Barbon Junior; Paolo Ceravolo; Ernesto Damiani; Gabriel Marques Tavares (DataMod@CIKM, 2020)

Anomaly Detection on Event Logs with a Scarcity of Labels. - Sylvio Barbon Junior; Paolo Ceravolo; Ernesto Damiani; Nicolas Jashchenko Omori; Gabriel Marques Tavares (ICPM, 2020)

The CDESF Toolkit: An Introduction. - Davide Mora; Paolo Ceravolo; Ernesto Damiani; Gabriel Marques Tavares (ICPM Doctoral Consortium / Tools, 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)

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)

Comparing Concept Drift Detection with Process Mining Software. - Nicolas Jashchenko Omori; Gabriel Marques Tavares; Paolo Ceravolo; Sylvio Barbon Jr. (Braz. J. Inf. Syst., 2020)

Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection. - Gabriel Marques Tavares; Sylvio Barbon Junior (ADBIS (Short Papers), 2021)

Automating the Design of Process Mining Pipelines through Meta-Learning (Extended Abstract). - Gabriel Marques Tavares (ICPM Doctoral Consortium / Demo, 2021)

On the use of online clustering for anomaly detection in trace streams. - Renato Vertuam Neto; Gabriel M. Tavares; Paolo Ceravolo; Sylvio Barbon (SBSI, 2021)

Using Meta-learning to Recommend Process Discovery Methods. - Sylvio Barbon Jr.; Paolo Ceravolo; Ernesto Damiani; Gabriel Marques Tavares (CoRR, 2021)

Selecting Optimal Trace Clustering Pipelines with AutoML. - Sylvio Barbon Jr.; Paolo Ceravolo; Ernesto Damiani; Gabriel Marques Tavares (CoRR, 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 (IFIP's Exciting First 60+ Years, 2021)

Selecting Optimal Trace Clustering Pipelines with Meta-learning. - Gabriel Marques Tavares; Sylvio Barbon Junior; Ernesto Damiani; Paolo Ceravolo (BRACIS (1), 2022)

Automating Process Discovery Through Meta-learning. - Gabriel Marques Tavares; Sylvio Barbon Junior; Ernesto Damiani (CoopIS, 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)

Synthetic Event Streams. - Gabriel Marques Tavares; Sylvio Barbon Jr.; Paolo Ceravolo (IEEE DataPort, 2022)

A Scikit-learn Extension Dedicated to Process Mining Purposes. - Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo (CoopIS (Demos), 2023)

FEEED: Feature Extraction from Event Data. - Andrea Maldonado 001; Gabriel Marques Tavares; Rafael Seidi Oyamada; Paolo Ceravolo; Thomas Seidl 001 (ICPM Doctoral Consortium / Demo, 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)

CoSMo: a Framework for Implementing Conditioned Process Simulation Models. - Rafael Seidi Oyamada; Gabriel M. Tavares; Paolo Ceravolo (CoRR, 2023)

Trace encoding in process mining: A survey and benchmarking. - Gabriel M. Tavares; Rafael Seidi Oyamada; Sylvio Barbon; Paolo Ceravolo (Eng. Appl. Artif. Intell., 2023)

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. - Andrea Maldonado 001; Christian M. M. Frey; Gabriel Marques Tavares; Nikolina Rehwald; Thomas Seidl 001 (BPM, 2024)

CoSMo: A Framework to Instantiate Conditioned Process Simulation Models. - Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo (BPM, 2024)

Enhancing Predictive Process Monitoring with Time-Related Feature Engineering. - Rafael Seidi Oyamada; Gabriel Marques Tavares; Sylvio Barbon Junior; Paolo Ceravolo (CAiSE, 2024)

Beyond Flattening: Detecting Concurrency Anomalies Using K-NN Graph-Based Modeling in Object-Centric Event Logs. - Iuliana Malina Grigore; Gabriel Marques Tavares; Sylvio Barbon Junior (DataMod, 2024)

CC-HIT: Creating Counterfactuals from High-Impact Transitions. - Zhicong Xian; Ludwig Zellner; Gabriel Marques Tavares; Thomas Seidl 001 (ICPM Workshops, 2024)

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. - Leonardo Arrighi; Luca Pennella; Gabriel Marques Tavares; Sylvio Barbon Junior (xAI (2), 2024)

ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. - Valentin Margraf; Marcel Wever; Sandra Gilhuber; Gabriel Marques Tavares; Thomas Seidl 001; Eyke Hüllermeier (CoRR, 2024)

Problem-oriented AutoML in Clustering. - Matheus Camilo da Silva; Gabriel Marques Tavares; Eric Medvet; Sylvio Barbon Junior (CoRR, 2024)

Automated Trace Clustering Pipeline Synthesis in Process Mining. - Iuliana Malina Grigore; Gabriel Marques Tavares; Matheus Camilo da Silva; Paolo Ceravolo; Sylvio Barbon Junior (Inf., 2024)

DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning. - Mamdouh Aljoud; Gabriel Marques Tavares; Collin Leiber; Thomas Seidl 001 (PAKDD (1), 2025)

Towards Explainable Deep Clustering for Time Series Data. - Udo Schlegel; Gabriel Marques Tavares; Thomas Seidl 001 (CoRR, 2025)