| 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 | 41 | 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 | 8* | 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 | 5 | 2023 |
| 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 for Implementing Conditioned Process Simulation Models RS Oyamada, GM Tavares, P Ceravolo arXiv preprint arXiv:2303.17879, 2023 | | 2023 |
Daniel dos Santos KasterProfessor de Ciência da Computação, Universidade de LondrinaVerified email at uel.br
