PASQUADIBISCEGLIE, VINCENZO

PASQUADIBISCEGLIE, VINCENZO  

DIPARTIMENTO DI INFORMATICA  

Mostra records
Risultati 1 - 20 di 23 (tempo di esecuzione: 0.058 secondi).
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.
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 Meets Computer Vision 1-gen-2020 Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato
PROMISE: Coupling predictive process mining to process discovery 1-gen-2022 Pasquadibisceglie, V.; Appice, A.; Castellano, G.; van der Aalst, W.
PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks 1-gen-2024 Pasquadibisceglie, Vincenzo; Scaringi, Raffaele; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato