PASQUADIBISCEGLIE, VINCENZO
PASQUADIBISCEGLIE, VINCENZO
DIPARTIMENTO DI INFORMATICA
A fuzzy rule-based decision support system for cardiovascular risk assessment
2019-01-01 Casalino, G.; Castellano, G.; Castiello, C.; Pasquadibisceglie, V.; Zaza, G.
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease
2020-01-01 Casalino, Gabriella; Grassi, Riccardo; Iannotta, Marco; Pasquadibisceglie, Vincenzo; Zaza, Gianluca
A mobile app for contactless measurement of vital signs through remote Photoplethysmography
2022-01-01 Casalino, Gabriella; Castellano, Giovanna; Nisio, Andrea; Pasquadibisceglie, Vincenzo; Zaza, Gianluca
A multi-view deep learning approach for predictive business process monitoring
2021-01-01 Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato
A multi-view deep learning approach for predictive business processes monitoring
2022-01-01 Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D.
A personal healthcare system for contact-less estimation of cardiovascular parameters.
2018-01-01 Pasquadibisceglie, Vincenzo; Zaza, Gianluca; Castellano, Giovanna
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
2024-01-01 Pasquadibisceglie, Vincenzo; Lucente, Donato; Malerba, Donato
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
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules
2019-01-01 Casalino, Gabriella; Castellano, Giovanna; Pasquadibisceglie, Vincenzo; Zaza, Gianluca
DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring
2023-01-01 Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D.
Data-Centric AI
2024-01-01 Malerba, D.; Pasquadibisceglie, V.
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers
2024-01-01 Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D.
Evaluating end-user perception towards a cardiac self-care monitoring process
2020-01-01 Casalino, G.; Castellano, G.; Pasquadibisceglie, V.; Zaza, G.
FISDeT: Fuzzy Inference System Development Tool
2017-01-01 Castellano, Giovanna; Castiello, Ciro; Pasquadibisceglie, Vincenzo; Zaza, Gianluca
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation
2021-01-01 Pasquadibisceglie, V.; Castellano, G.; Appice, A.; Malerba, D.
JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction
2023-01-01 Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato
Leveraging multi-view deep learning for next activity prediction
2021-01-01 Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D.
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs
2024-01-01 Pasquadibisceglie, Vincenzo; Appice, Annalisa; Malerba, Donato
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs
2020-01-01 Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato; Modugno, Giuseppe
Predictive Process Mining for Business Process Management Improvement (Extended Abstract)
2022-01-01 Pasquadibisceglie, V.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A fuzzy rule-based decision support system for cardiovascular risk assessment | 1-gen-2019 | Casalino, G.; Castellano, G.; Castiello, C.; Pasquadibisceglie, V.; Zaza, G. | |
| A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease | 1-gen-2020 | Casalino, Gabriella; Grassi, Riccardo; Iannotta, Marco; Pasquadibisceglie, Vincenzo; Zaza, Gianluca | |
| A mobile app for contactless measurement of vital signs through remote Photoplethysmography | 1-gen-2022 | Casalino, Gabriella; Castellano, Giovanna; Nisio, Andrea; Pasquadibisceglie, Vincenzo; Zaza, Gianluca | |
| A multi-view deep learning approach for predictive business process monitoring | 1-gen-2021 | Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato | |
| A multi-view deep learning approach for predictive business processes monitoring | 1-gen-2022 | Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D. | |
| A personal healthcare system for contact-less estimation of cardiovascular parameters. | 1-gen-2018 | Pasquadibisceglie, Vincenzo; Zaza, Gianluca; Castellano, Giovanna | |
| A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery | 1-gen-2024 | Pasquadibisceglie, Vincenzo; Lucente, Donato; Malerba, Donato | |
| 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 | |
| Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules | 1-gen-2019 | Casalino, Gabriella; Castellano, Giovanna; Pasquadibisceglie, Vincenzo; Zaza, Gianluca | |
| DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring | 1-gen-2023 | Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D. | |
| Data-Centric AI | 1-gen-2024 | Malerba, D.; Pasquadibisceglie, V. | |
| Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers | 1-gen-2024 | Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D. | |
| Evaluating end-user perception towards a cardiac self-care monitoring process | 1-gen-2020 | Casalino, G.; Castellano, G.; Pasquadibisceglie, V.; Zaza, G. | |
| FISDeT: Fuzzy Inference System Development Tool | 1-gen-2017 | Castellano, Giovanna; Castiello, Ciro; Pasquadibisceglie, Vincenzo; Zaza, Gianluca | |
| FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation | 1-gen-2021 | Pasquadibisceglie, V.; Castellano, G.; Appice, A.; Malerba, D. | |
| JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction | 1-gen-2023 | Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato | |
| Leveraging multi-view deep learning for next activity prediction | 1-gen-2021 | Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D. | |
| LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs | 1-gen-2024 | Pasquadibisceglie, Vincenzo; Appice, Annalisa; Malerba, Donato | |
| ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs | 1-gen-2020 | Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato; Modugno, Giuseppe | |
| Predictive Process Mining for Business Process Management Improvement (Extended Abstract) | 1-gen-2022 | Pasquadibisceglie, V. |