Vincenzo Pasquadibisceglie is an assistant researcher at Computer Science department of University of Bari Aldo Moro

Research Interests

Data Mining and Knowledge Discovery, Process Mining, Deep Learning

Vincenzo Pasquadibisceglie
PhD, Assistant Professor
(non tenure)
Phone: +39 080 5442203
em@il: vincenzo.pasquadibisceglie @ uniba.it





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2025
Iuliana Malina Grigore, Gabriel Marques Tavares, Vincenzo Pasquadibisceglie, Thomas Seidl, Sylvio Barbon Junior:
Towards Trace Variant Explainability. ADBIS: 95-110 (2025)
DOI: https://doi.org/10.1007/978-3-032-05281-0_7
Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba, Giuseppe Fiameni:
Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients. Expert Syst. Appl. 287: 128224 (2025)
DOI: https://doi.org/10.1016/j.eswa.2025.128224
Vincenzo Pasquadibisceglie, Vito Recchia, Annalisa Appice, Donato Malerba, Giuseppe Fiameni:
GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images. SAC: 1074-1081 (2025)
DOI: https://doi.org/10.1145/3672608.3707751


2024
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction. IEEE Trans. Serv. Comput. 17(4): 1593-1606 (2024)
DOI: https://doi.org/10.1109/TSC.2023.3331020
Donato Malerba, Vincenzo Pasquadibisceglie:
Data-Centric AI. J. Intell. Inf. Syst. 62(6): 1493-1502 (2024)
DOI: https://doi.org/10.1007/s10844-024-00901-9
Vincenzo Pasquadibisceglie, Raffaele Scaringi, Annalisa Appice, Giovanna Castellano, Donato Malerba:
${\sf PROPHET}$PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks. IEEE Trans. Serv. Comput. 17(6): 4111-4124 (2024)
DOI: https://doi.org/10.1109/TSC.2024.3463487
Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba:
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. ICPM: 1-8 (2024)
DOI: https://doi.org/10.1109/ICPM63005.2024.10680620
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. SEBD: 349-358 (2024)
DOI: https://ceur-ws.org/Vol-3741/paper17.pdf
Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba:
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments. J. Intell. Inf. Syst. 62(3): 705-733 (2024)
DOI: https://doi.org/10.1007/s10844-023-00838-5
Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba:
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. ISMIS: 136-145 (2024)
DOI: https://doi.org/10.1007/978-3-031-62700-2_13


2023
Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie:
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA: 205-217 (2023)
DOI: https://doi.org/10.1007/978-3-031-47546-7_14
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring. Eng. Appl. Artif. Intell. 123: 106461 (2023)
DOI: https://doi.org/10.1016/j.engappai.2023.106461
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, Donato Malerba:
STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. IEEE Trans. Serv. Comput. 16(4): 2970-2984 (2023)
DOI: https://doi.org/10.1109/TSC.2022.3215502


2022
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Wil M. P. van der Aalst:
PROMISE: Coupling predictive process mining to process discovery. Inf. Sci. 606: 250-271 (2022)
DOI: https://doi.org/10.1016/j.ins.2022.05.052
Gabriella Casalino, Giovanna Castellano, Andrea Nisio, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A mobile app for contactless measurement of vital signs through remote Photoplethysmography. SMC: 2675-2680 (2022)
DOI: https://doi.org/10.1109/SMC53654.2022.9945406
Vincenzo Pasquadibisceglie:
Predictive Process Mining for Improving Business Process Management. BPM (PhD/Demos): 10-14 (2022)
DOI: https://ceur-ws.org/Vol-3216/paper_127.pdf
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A multi-view deep learning approach for predictive business processes monitoring. SERVICES: 26 (2022)
DOI: https://doi.org/10.1109/SERVICES55459.2022.00039
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A Multi-View Deep Learning Approach for Predictive Business Process Monitoring. IEEE Trans. Serv. Comput. 15(4): 2382-2395 (2022)
DOI: https://doi.org/10.1109/TSC.2021.3051771


2021
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM: 1-6 (2021)
DOI: https://ceur-ws.org/Vol-2952/paper_290a.pdf
Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba:
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. ICPM: 112-119 (2021)
DOI: https://doi.org/10.1109/ICPM53251.2021.9576678


2020
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
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
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno:
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs. IEEE Access 8: 184073-184 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.3029323


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. Inf. 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