Rafael Seidi Oyamada

According to our database, Rafael Seidi Oyamada authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

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

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

A meta-learning configuration framework for graph-based similarity search indexes.

Rafael Seidi Oyamada, Larissa Capobianco Shimomura, Sylvio Barbon Jr., Daniel S. Kaster

Inf. Syst., 2023

CoSMo: a Framework for Implementing Conditioned Process Simulation Models.

Rafael Seidi Oyamada, Gabriel M. Tavares, Paolo Ceravolo

CoRR, 2023

The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval.

Matheus A. L. Matiazzo, Vitor de Castro-Silva, Rafael Seidi Oyamada, Daniel S. Kaster

Proceedings of the Similarity Search and Applications - 16th International Conference, 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

2021

A survey on graph-based methods for similarity searches in metric spaces.

Larissa Capobianco Shimomura, Rafael Seidi Oyamada, Marcos R. Vieira, Daniel S. Kaster

Inf. Syst., 2021

2020

Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning.

Rafael Seidi Oyamada, Larissa Capobianco Shimomura, Sylvio Barbon Junior, Daniel S. Kaster

Proceedings of the Advances in Databases and Information Systems, 2020