CERAVOLO, PAOLO
CERAVOLO, PAOLO
Dipartimento di Informatica Giovanni Degli Antoni
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
2025 M. Derakhshan, P. Ceravolo, F. Mohammadi
Identifying Gender Stereotypes and Biases in Automated Translation from English to Italian using Similarity Networks
2025 F. Mohammadi, M.A. Tamborini, P. Ceravolo, C. Nardocci, S. Maghool
A Novel Assurance Procedure for Fair Data Augmentation in Machine Learning
2025 S. Maghool, P. Ceravolo, F. Berto
Predictive process monitoring: concepts, challenges, and future research directions
2024 P. Ceravolo, M. Comuzzi, J. De Weerdt, C. Di Francescomarino, F.M. Maggi
Tuning Machine Learning to Address Process Mining Requirements
2024 P. Ceravolo, S.B. Junior, E. Damiani, W. Van Der Aalst
Data management for continuous learning in EHR systems
2024 V. Bellandi, P. Ceravolo, J. Maggesi, S. Maghool
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering
2024 R.S. Oyamada, G.M. Tavares, S.B. Junior, P. Ceravolo
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks
2024 S. Maghool, E. Casiraghi, P. Ceravolo
Synthetic Data for Identifying Inclusive Language (Case Study: Job Descriptions in Italian)
2024 T. Romano, F. Mohammadi, P. Ceravolo
Technologies and Strategies for Continuous Learning through Electronic Health Records Data
2024 S. Maghool, V. Bellandi, P. Ceravolo
FEEED: Feature Extraction from Event Data
2024 A. Maldonado, G. MARQUES TAVARES, R.S. Oyamada, P. Ceravolo, A. Thomas Seidl
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
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
Enhancing Semantic Exploration: A Distributed Repository Approach
2024 V. Bellandi, P. Ceravolo, S. Siccardi
Active Learning Methodology in LLMs Fine-Tuning
2024 P. Ceravolo, F. Mohammadi, M.A. Tamborini
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models
2024 R.S. Oyamada, G. MARQUES TAVARES, S. Barbon Junior, P. Ceravolo
Examining students’ course trajectories using data mining and visualization approaches
2023 R. Maqsood, P. Ceravolo, M. Ahmad, M.S. Sarfraz
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
Trace encoding in process mining: A survey and benchmarking
2023 G.M. Tavares, R.S. Oyamada, S. Barbon, P. Ceravolo
CoSMo: a Framework for Implementing Conditioned Process Simulation Models
2023 R.S. Oyamada, G. M Tavares, P. Ceravolo