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Rafael Seidi Oyamada
Rafael Seidi Oyamada
PhD student, University of Milan
Verified email at unimi.it - Homepage
Title
Cited by
Cited by
Year
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
522021
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
162023
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
82023
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
82020
FEEED: Feature Extraction from Event Data.
A Maldonado, GM Tavares, RS Oyamada, P Ceravolo, T Seidl
ICPM Doctoral Consortium/Demo, 2023
32023
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
22024
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
12023
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models
RS Oyamada, G Marques Tavares, S Barbon Junior, P Ceravolo
International Conference on Business Process Management, 328-344, 2024
2024
A meta-learning approach for auto-selection and auto-configuration of proximity graphs
RS Oyamada
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
CoSMo: a Framework for Implementing Conditioned Process Simulation Models
RS Oyamada, MT Gabriel, P Ceravolo
2023
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