ARDIMENTO, PASQUALE
ARDIMENTO, PASQUALE
DIPARTIMENTO DI INFORMATICA
A Machine Learning Approach for Walker Identification Using Smartphone Sensors
2020-01-01 Angrisano, A.; Ardimento, P.; Bernardi, M. L.; Cimitile, M.; Gaglione, S.
A Maintenance Metric Model for Open Source Governance
2008-01-01 Ardimento, Pasquale; G., Bruno; Caivano, Danilo; M., Cimitile
A Maintenance Metric Model for Open Source Governance
2010-01-01 Ardimento, Pasquale; Bruno, G.; Caivano, Danilo; Cimitile, M.
A maintenance oriented Framework for software components characterization
2007-01-01 Ardimento, Pasquale; G., Bruno; Caivano, Danilo; Visaggio, Giuseppe
A multi-source machine learning approach to predict defect prone components
2018-01-01 Ardimento, P.; Bernardi, M. L.; Cimitile, M.
A novel LLM-based classifier for predicting bug-fixing time in Bug Tracking Systems
2025-01-01 Ardimento, P.; Capuzzimati, M.; Casalino, G.; Schicchi, D.; Taibi, D.
A RAG-based Feedback Tool to Augment UML Class Diagram Learning
2024-01-01 Ardimento, Pasquale; Bernardi, Mario Luca; Cimitile, Marta; Scalera, Michele
A RAG-Enhanced AI Feedback for UML Education
2025-01-01 Ardimento, Pasquale; Bernardi, Mario Luca; Cimitile, Marta; Scalera, Michele
A Text-Based Regression Approach to Predict Bug-Fix Time
2020-01-01 Ardimento, P.; Boffoli, N.; Mele, C.
An Empirical Study on Software Engineering Knowledge/Experience Packages
2008-01-01 Ardimento, Pasquale; Cimitile, M.
Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment
2006-01-01 Ardimento, Pasquale; Baldassarre, MARIA TERESA; Caivano, Danilo; Visaggio, Giuseppe
Back to the Model: UML Miner and the Power of Process Mining
2025-01-01 Ardimento, Pasquale; Bernardi, Mario; Cimitile, Marta; Scalera, Michele
Building a Knowledge Experience Base for Facilitating Innovation
2013-01-01 Ardimento, Pasquale; Convertini, Vn; Visaggio, Giuseppe
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector
2023-01-01 Andresini, Giuseppina; Appice, Annalisa; Ardimento, Pasquale; Antonio Brunetta, Andrea; Doronzo, ANTONIO GIUSEPPE; Ieva, Giuseppe; Luce, Francesco; Malerba, Donato; Pasquadibisceglie, Vincenzo
Controlled Experiment on Search Engine Knowledge Extraction Capabilities
2008-01-01 Ardimento, Pasquale; Baldassarre, MARIA TERESA; Caivano, Danilo; M., Cimitile; Visaggio, Giuseppe
Data-Aware Declarative Process Mining for Malware Detection
2020-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Decision table for adaptive e-learning systems
2011-01-01 Ardimento, Pasquale; Boffoli, Nicola; Convertini, V. N.; Visaggio, Giuseppe
Decision tables for knowledge acquisition during goal interpretation
2005-01-01 Ardimento, P.; Baldassarre, M. T.; Caivano, D.; Visaggio, G.
Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans
2021-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Design patterns mining using neural sub-graph matching
2022-01-01 Ardimento, Pasquale; Aversano, Lerina; Bernardi Mario, Luca; Cimitile, Marta
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Machine Learning Approach for Walker Identification Using Smartphone Sensors | 1-gen-2020 | Angrisano, A.; Ardimento, P.; Bernardi, M. L.; Cimitile, M.; Gaglione, S. | |
| A Maintenance Metric Model for Open Source Governance | 1-gen-2008 | Ardimento, Pasquale; G., Bruno; Caivano, Danilo; M., Cimitile | |
| A Maintenance Metric Model for Open Source Governance | 1-gen-2010 | Ardimento, Pasquale; Bruno, G.; Caivano, Danilo; Cimitile, M. | |
| A maintenance oriented Framework for software components characterization | 1-gen-2007 | Ardimento, Pasquale; G., Bruno; Caivano, Danilo; Visaggio, Giuseppe | |
| A multi-source machine learning approach to predict defect prone components | 1-gen-2018 | Ardimento, P.; Bernardi, M. L.; Cimitile, M. | |
| A novel LLM-based classifier for predicting bug-fixing time in Bug Tracking Systems | 1-gen-2025 | Ardimento, P.; Capuzzimati, M.; Casalino, G.; Schicchi, D.; Taibi, D. | |
| A RAG-based Feedback Tool to Augment UML Class Diagram Learning | 1-gen-2024 | Ardimento, Pasquale; Bernardi, Mario Luca; Cimitile, Marta; Scalera, Michele | |
| A RAG-Enhanced AI Feedback for UML Education | 1-gen-2025 | Ardimento, Pasquale; Bernardi, Mario Luca; Cimitile, Marta; Scalera, Michele | |
| A Text-Based Regression Approach to Predict Bug-Fix Time | 1-gen-2020 | Ardimento, P.; Boffoli, N.; Mele, C. | |
| An Empirical Study on Software Engineering Knowledge/Experience Packages | 1-gen-2008 | Ardimento, Pasquale; Cimitile, M. | |
| Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment | 1-gen-2006 | Ardimento, Pasquale; Baldassarre, MARIA TERESA; Caivano, Danilo; Visaggio, Giuseppe | |
| Back to the Model: UML Miner and the Power of Process Mining | 1-gen-2025 | Ardimento, Pasquale; Bernardi, Mario; Cimitile, Marta; Scalera, Michele | |
| Building a Knowledge Experience Base for Facilitating Innovation | 1-gen-2013 | Ardimento, Pasquale; Convertini, Vn; Visaggio, Giuseppe | |
| CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector | 1-gen-2023 | Andresini, Giuseppina; Appice, Annalisa; Ardimento, Pasquale; Antonio Brunetta, Andrea; Doronzo, ANTONIO GIUSEPPE; Ieva, Giuseppe; Luce, Francesco; Malerba, Donato; Pasquadibisceglie, Vincenzo | |
| Controlled Experiment on Search Engine Knowledge Extraction Capabilities | 1-gen-2008 | Ardimento, Pasquale; Baldassarre, MARIA TERESA; Caivano, Danilo; M., Cimitile; Visaggio, Giuseppe | |
| Data-Aware Declarative Process Mining for Malware Detection | 1-gen-2020 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
| Decision table for adaptive e-learning systems | 1-gen-2011 | Ardimento, Pasquale; Boffoli, Nicola; Convertini, V. N.; Visaggio, Giuseppe | |
| Decision tables for knowledge acquisition during goal interpretation | 1-gen-2005 | Ardimento, P.; Baldassarre, M. T.; Caivano, D.; Visaggio, G. | |
| Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans | 1-gen-2021 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
| Design patterns mining using neural sub-graph matching | 1-gen-2022 | Ardimento, Pasquale; Aversano, Lerina; Bernardi Mario, Luca; Cimitile, Marta |