OYAMADA, RAFAEL SEIDI
OYAMADA, RAFAEL SEIDI
Dipartimento di Informatica Giovanni Degli Antoni
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.007 secondi).
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering
2024 R.S. Oyamada, G.M. Tavares, S.B. Junior, P. Ceravolo
CoSMo: a Framework for Implementing Conditioned Process Simulation Models
2023 R.S. Oyamada, G. M Tavares, P. Ceravolo
A meta-learning configuration framework for graph-based similarity search indexes
2023 R.S. Oyamada, L. C Shimomura, S. Barbon Jr, D. S Kaster
A Scikit-learn Extension Dedicated to Process Mining Purposes
2023 R.S. Oyamada, G. MARQUES TAVARES, S. Barbon Junior, P. Ceravolo
Trace encoding in process mining: A survey and benchmarking
2023 G.M. Tavares, R.S. Oyamada, S. Barbon, P. Ceravolo
The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval
2023 M.A.L. Matiazzo, V. de Castro-Silva, R.S. Oyamada, D.S. Kaster
A survey on graph-based methods for similarity searches in metric spaces
2021 L.C. Shimomura, R.S. Oyamada, M.R. Vieira, D.S. Kaster
Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning
2020 R.S. Oyamada, L.C. Shimomura, S.B. Junior, D.S. Kaster