Vincenzo Pasquadibisceglie is a PhD Student at Computer Science department of University of Bari Aldo Moro

Research Interests

Data Mining and Knowledge Discovery, Process Mining, Deep Learning

Vincenzo Pasquadibisceglie
PhD Student
Phone: +39 080 5442203
em@il: vincenzo.pasquadibisceglie @ uniba.it





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2020

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Predictive Process Mining Meets Computer Vision. BPM (Forum): 176-192 (2020)
DOI: https://doi.org/10.1007/978-3-030-58638-6_11
Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease. EAIS: 1-7 (2020)
DOI: https://doi.org/10.1109/EAIS48028.2020.9122750


2019

Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza:
Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process. MobiHealth: 43-59 (2019)
DOI: https://doi.org/10.1007/978-3-030-49289-2_4
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Using Convolutional Neural Networks for Predictive Process Analytics. ICPM: 129-136 (2019)
DOI: https://doi.org/10.1109/ICPM.2019.00028
Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza:
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules. Information 10(1): 9 (2019)
DOI: https://doi.org/10.3390/info10010009


2018

Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment. WILF: 97-108 (2018)
DOI: https://doi.org/10.1007/978-3-030-12544-8_8


2017

Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza:
FISDeT: Fuzzy Inference System Development Tool. Int. J. Comput. Intell. Syst. 10(1): 13-22 (2017)
DOI: https://doi.org/10.2991/ijcis.2017.10.1.2