Vincenzo Pasquadibisceglie

According to our database, Vincenzo Pasquadibisceglie authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, Donato Malerba

IEEE Trans. Serv. Comput., 2023

DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Eng. Appl. Artif. Intell., 2023

CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.

Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

A Multi-View Deep Learning Approach for Predictive Business Process Monitoring.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

IEEE Trans. Serv. Comput., 2022

PROMISE: Coupling predictive process mining to process discovery.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Wil M. P. van der Aalst

Inf. Sci., 2022

A mobile app for contactless measurement of vital signs through remote Photoplethysmography.

Gabriella Casalino, Giovanna Castellano, Andrea Nisio, Vincenzo Pasquadibisceglie, Gianluca Zaza

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A multi-view deep learning approach for predictive business processes monitoring.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the IEEE World Congress on Services, 2022

Predictive Process Mining for Improving Business Process Management.

Vincenzo Pasquadibisceglie

Proceedings of the Best Dissertation Award, 2022

2021

FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation.

Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba

Proceedings of the 3rd International Conference on Process Mining, 2021

Leveraging Multi-view Deep Learning for Next Activity Prediction.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the 1st Italian Forum on Business Process Management co-located with the 19th International Conference of Business Process Management (BPM 2021), 2021

2020

ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno

IEEE Access, 2020

A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease.

Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Predictive Process Mining Meets Computer Vision.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the Business Process Management Forum, 2020

2019

Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules.

Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza

Inf., 2019

Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process.

Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza

Proceedings of the Wireless Mobile Communication and Healthcare, 2019

Using Convolutional Neural Networks for Predictive Process Analytics.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the International Conference on Process Mining, 2019

2018

A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment.

Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza

Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

2017

FISDeT: Fuzzy Inference System Development Tool.

Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza

Int. J. Comput. Intell. Syst., 2017