CERAVOLO, PAOLO
CERAVOLO, PAOLO
Dipartimento di Informatica Giovanni Degli Antoni
Where we are in handling IoT and robotics’ data for agro-ecology applications?: An architectural view.
2026 H. Bazza, H. Badir, F. Berto, S. Bimonte, A. Calcante, P. Ceravolo, A. Hassan, T. Kechadi, R. Moussa, R. Oberti, S. Sellami, N. Trico
Evaluating Urban Perception: Using Explainable Machine Learning Predict Through the Best Pipeline
2026 S. Lou, B.E.A. Piga, G. Stancato, M. Boffi, N. Rainisio, S. Maghool, P. Ceravolo
From Annotation to Detection: Evaluating LLMs for Hate Speech and Stereotype Identification in Italian
2026 F. Mohammadi, S. Maghool, P. Ceravolo
Encoding Techniques for Digital Trace Data
2026 S.B. Junior, G.M. Tavares, R.S. Oyamada, P. Ceravolo
Agent for Anti-Discriminatory Language (AAL) A Human-Centered AI Approach to Discriminatory Speech in Italian
2026 M.A. Tamborini, F. Mohammadi, P. Ceravolo, S. Maghool, M.E. D'Amico, C. Siccardi
A Deep Learning Framework for Predicting Business Process Violations
2026 G. Tello, G. Gianini, R. Mizouni, C. Mio, E. Damiani, P. Ceravolo
Embracing Genre Fluidity: Enhancing Music Recommendation through Audio Features and Vector Label Propagation
2025 S. Maghool, P. Ceravolo, M. Soldani
Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data
2025 F. Mohammadi, T. Romano, S. Maghool, P. Ceravolo
A Novel Assurance Procedure for Fair Data Augmentation in Machine Learning
2025 S. Maghool, P. Ceravolo, F. Berto
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
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
2025 M. Derakhshan, P. Ceravolo, F. Mohammadi
Predictive process monitoring: concepts, challenges, and future research directions
2024 P. Ceravolo, M. Comuzzi, J. De Weerdt, C. Di Francescomarino, F.M. Maggi
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
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
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
Tuning Machine Learning to Address Process Mining Requirements
2024 P. Ceravolo, S.B. Junior, E. Damiani, W. Van Der Aalst
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks
2024 S. Maghool, E. Casiraghi, P. Ceravolo
FEEED: Feature Extraction from Event Data
2024 A. Maldonado, G. MARQUES TAVARES, R.S. Oyamada, P. Ceravolo, A. Thomas Seidl