A survey on graph-based methods for similarity searches in metric spaces LC Shimomura, RS Oyamada, MR Vieira, DS Kaster Information Systems 95, 101507, 2021 | 47 | 2021 |
Trace encoding in process mining: A survey and benchmarking GM Tavares, RS Oyamada, SB Junior, P Ceravolo Engineering Applications of Artificial Intelligence 126, 107028, 2023 | 11 | 2023 |
Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning RS Oyamada, LC Shimomura, SJ Barbon, DS Kaster European Conference on Advances in Databases and Information Systems, 93-107, 2020 | 7 | 2020 |
A meta-learning configuration framework for graph-based similarity search indexes RS Oyamada, LC Shimomura, S Barbon Jr, DS Kaster Information Systems 112, 102123, 2023 | 6 | 2023 |
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering RS Oyamada, GM Tavares, SB Junior, P Ceravolo International Conference on Advanced Information Systems Engineering, 71-86, 2024 | | 2024 |
The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval MAL Matiazzo, V de Castro-Silva, RS Oyamada, DS Kaster International Conference on Similarity Search and Applications, 125-132, 2023 | | 2023 |
A Scikit-learn Extension Dedicated to Process Mining Purposes RS Oyamada, G MARQUES TAVARES, SB Junior, P Ceravolo CEUR WORKSHOP PROCEEDINGS 3552, 11-15, 2023 | | 2023 |
CoSMo: a Framework to Instantiate Conditioned Process Simulation Models RS Oyamada, GM Tavares, SB Junior, P Ceravolo arXiv preprint arXiv:2303.17879, 2023 | | 2023 |
CoSMo: a Framework for Implementing Conditioned Process Simulation Models RS Oyamada, MT Gabriel, P Ceravolo | | 2023 |
FEEED: Feature Extraction from Event Data. A Maldonado, GM Tavares, RS Oyamada, P Ceravolo, T Seidl ICPM Doctoral Consortium/Demo, 2023 | | 2023 |