CERAVOLO, PAOLO
CERAVOLO, PAOLO
Dipartimento di Informatica Giovanni Degli Antoni
moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows
2024 P. Ceravolo, T. Catarci, M. Console, P. Cudré-Mauroux, S. Groppe, K. Hose, J. Pokorný, O. Romero, R. Wrembel
FEEED: Feature Extraction from Event Data
2024 A. Maldonado, G. MARQUES TAVARES, R.S. Oyamada, P. Ceravolo, A. Thomas Seidl
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering
2024 R.S. Oyamada, G.M. Tavares, S.B. Junior, P. Ceravolo
Synthetic Data for Identifying Inclusive Language (Case Study: Job Descriptions in Italian)
2024 T. Romano, F. Mohammadi, P. Ceravolo
Active Learning Methodology in LLMs Fine-Tuning
2024 P. Ceravolo, F. Mohammadi, M.A. Tamborini
Data management for continuous learning in EHR systems
2024 V. Bellandi, P. Ceravolo, J. Maggesi, S. Maghool
Technologies and Strategies for Continuous Learning through Electronic Health Records Data
2024 S. Maghool, V. Bellandi, P. Ceravolo
Predictive process monitoring: concepts, challenges, and future research directions
2024 P. Ceravolo, M. Comuzzi, J. De Weerdt, C. Di Francescomarino, F.M. Maggi
Enhancing Semantic Exploration: A Distributed Repository Approach
2024 V. Bellandi, P. Ceravolo, S. Siccardi
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models
2024 R.S. Oyamada, G. MARQUES TAVARES, S. Barbon Junior, P. Ceravolo
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks
2024 S. Maghool, E. Casiraghi, P. Ceravolo
Tuning Machine Learning to Address Process Mining Requirements
2024 P. Ceravolo, S.B. Junior, E. Damiani, W. Van Der Aalst
Are Large Language Models the New Interface for Data Pipelines?
2024 S. Barbon Junior, P. Ceravolo, S. Groppe, M. Jarrar, S. Maghool, F. Sèdes, S. Sahri, M. Van Keulen
CoSMo: a Framework for Implementing Conditioned Process Simulation Models
2023 R.S. Oyamada, G. M Tavares, P. Ceravolo
Using Process Mining to Reduce Fraud in Digital Onboarding
2023 M. Camilo da Silva, G. MARQUES TAVARES, M. Cesar Gritti, P. Ceravolo, S. Barbon Junior
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
Examining students’ course trajectories using data mining and visualization approaches
2023 R. Maqsood, P. Ceravolo, M. Ahmad, M.S. Sarfraz
Selecting Optimal Trace Clustering Pipelines with Meta-learning
2022 G. Marques Tavares, S. Barbon Junior, E. Damiani, P. Ceravolo
2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS)
2022 P. Ceravolo, C. Guetl, Y. Jararweh, E. Benkhelifa