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ORCIDGabriel Marques Tavares
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- affiliation: LMU Munich, Germany
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2020 – today
- 2024
[j10]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): 241 (2024)- [c23]Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl:
GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. BPM 2024: 221-237 - [c22]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models. BPM 2024: 328-344 - [c21]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering. CAiSE 2024: 71-86 - [c20]Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior:
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. xAI (2) 2024: 311-332 - [i7]Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior:
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles. CoRR abs/2404.02942 (2024) - [i6]Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier:
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. CoRR abs/2406.17322 (2024) - [i5]Matheus Camilo da Silva, Gabriel Marques Tavares, Eric Medvet, Sylvio Barbon Junior:
Problem-oriented AutoML in Clustering. CoRR abs/2409.16218 (2024) - 2023
- [j9]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): 1207-1233 (2023) - [j8]Gabriel M. Tavares, Rafael Seidi Oyamada, Sylvio Barbon, Paolo Ceravolo:
Trace encoding in process mining: A survey and benchmarking. Eng. Appl. Artif. Intell. 126(Part D): 107028 (2023) - [c19]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
A Scikit-learn Extension Dedicated to Process Mining Purposes. CoopIS (Demos) 2023: 11-15 - [c18]Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl:
FEEED: Feature Extraction from Event Data. ICPM Doctoral Consortium / Demo 2023 - [i4]Sylvio Barbon Jr., Paolo Ceravolo, Rafael Seidi Oyamada, Gabriel M. Tavares:
Trace Encoding in Process Mining: a survey and benchmarking. CoRR abs/2301.02167 (2023) - [i3]Rafael Seidi Oyamada, Gabriel M. Tavares, Paolo Ceravolo:
CoSMo: a Framework for Implementing Conditioned Process Simulation Models. CoRR abs/2303.17879 (2023) - 2022
- [j7]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): 2473-2489 (2022) - [c17]Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo:
Selecting Optimal Trace Clustering Pipelines with Meta-learning. BRACIS (1) 2022: 150-164 - [c16]Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani:
Automating Process Discovery Through Meta-learning. CoopIS 2022: 205-222 - [c15]Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani:
Evaluation Goals for Online Process Mining: a Concept Drift Perspective. SERVICES 2022: 27 - [d1]Gabriel Marques Tavares, Sylvio Barbon Jr., Paolo Ceravolo:
Synthetic Event Streams. IEEE DataPort, 2022
- 2021
- [c14]Gabriel Marques Tavares, Sylvio Barbon Junior:
Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection. ADBIS (Short Papers) 2021: 157-168 - [c13]Gabriel Marques Tavares:
Automating the Design of Process Mining Pipelines through Meta-Learning (Extended Abstract). ICPM Doctoral Consortium / Demo 2021: 11-12 - [c12]Renato Vertuam Neto, Gabriel M. Tavares, Paolo Ceravolo, Sylvio Barbon:
On the use of online clustering for anomaly detection in trace streams. SBSI 2021: 43:1-43:8 - [p1]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:
Advances in Data Management in the Big Data Era. IFIP's Exciting First 60+ Years 2021: 99-126 - [i2]Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Using Meta-learning to Recommend Process Discovery Methods. CoRR abs/2103.12874 (2021) - [i1]Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Selecting Optimal Trace Clustering Pipelines with AutoML. CoRR abs/2109.00635 (2021) - 2020
- [j6]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): 87 (2020) - [j5]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): 101-125 (2020) - [j4]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): 126-149 (2020) - [c11]Gabriel Marques Tavares, Sylvio Barbon:
Analysis of Language Inspired Trace Representation for Anomaly Detection. ADBIS/TPDL/EDA Workshops 2020: 296-308 - [c10]Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Evaluating Trace Encoding Methods in Process Mining. DataMod@CIKM 2020: 174-189 - [c9]Davide Mora, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
The CDESF Toolkit: An Introduction. ICPM Doctoral Consortium / Tools 2020: 47-50 - [c8]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: 161-168
2010 – 2019
- 2019
- [j3]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): 54-75 (2019) - [c7]Gabriel Marques Tavares, Paolo Ceravolo, Victor G. Turrisi da Costa, Ernesto Damiani, Sylvio Barbon Junior:
Overlapping Analytic Stages in Online Process Mining. SCC 2019: 167-175 - [c6]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: 22:1-22:8 - [c5]Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.:
Comparing Concept Drift Detection with Process Mining Tools. SBSI 2019: 31:1-31:8 - 2018
- [j2]Sylvio Barbon Junior, Gabriel F. C. Campos, Gabriel M. Tavares, Rodrigo Augusto Igawa, Mario Lemes Proença Jr., Rodrigo Capobianco Guido:
Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets. ACM Trans. Multim. Comput. Commun. Appl. 14(1s): 26:1-26:17 (2018) - [c4]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: 16:1-16:8 - [c3]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: 319-326 - 2017
- [j1]Sylvio Barbon Jr., Gabriel Marques Tavares, Guilherme Sakaji Kido:
Artificial and Natural Topic Detection in Online Social Networks. Braz. J. Inf. Syst. 10(1): 80-98 (2017) - [c2]Gabriel M. Tavares, Saulo Martiello Mastelini, Sylvio Barbon Jr.:
User Classification on Online Social Networks by Post Frequency. SBSI 2017: 464-471 - [c1]Sylvio Barbon Junior, Gabriel M. Tavares, Paolo Ceravolo, Ernesto Damiani:
A Framework for Trace Clustering and Concept-drift Detection in Event Streams. SIMPDA 2017: 153-154
Coauthor Index
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