OYAMADA, RAFAEL SEIDI
OYAMADA, RAFAEL SEIDI
Dipartimento di Informatica Giovanni Degli Antoni
Encoding Techniques for Digital Trace Data
2026 S.B. Junior, G.M. Tavares, R.S. Oyamada, P. Ceravolo
PROCESS MINING FOR REENGINEERING CIRCULAR AND RESILIENT PRODUCTION PROCESSES
2025 R.S. Oyamada
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models
2024 R.S. Oyamada, G. MARQUES TAVARES, S. Barbon Junior, P. Ceravolo
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering
2024 R.S. Oyamada, G.M. Tavares, S.B. Junior, P. Ceravolo
FEEED: Feature Extraction from Event Data
2024 A. Maldonado, G. MARQUES TAVARES, R.S. Oyamada, P. Ceravolo, A. Thomas Seidl
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
CoSMo: a Framework for Implementing Conditioned Process Simulation Models
2023 R.S. Oyamada, G. M Tavares, P. Ceravolo
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
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 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