Vincenzo Pasquadibisceglie

33 papers B 6C 2Misc 1Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Handling concept drifts with traditional process discovery algorithms.
J. Intell. Inf. Syst.
Vincenzo Pasquadibisceglie
2026 J jnl
Multimodal predictive process monitoring and its application to explainable clinical pathways.
Inf. Syst.
Vincenzo Pasquadibisceglie, Ivan Donadello, Annalisa Appice, Oswald Lanz, Fabrizio Maria Maggi, Giuseppe Fiameni, Donato Malerba
2025 Misc conf
GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images.
SAC
Vincenzo Pasquadibisceglie, Vito Recchia, Annalisa Appice, Donato Malerba, Giuseppe Fiameni
2025 J jnl
Improving a Mirror-based Healthcare System for Real-time Estimation of Vital Parameters.
Inf. Syst. Frontiers
Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza
2025 B conf
Leveraging a foundation deep neural embedding in process discovery under not-Pareto distribution.
ICPM
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanni Discanno, Donato Malerba
2025 J jnl
Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients.
Expert Syst. Appl.
Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba, Giuseppe Fiameni
2025 C conf
Towards Trace Variant Explainability.
ADBIS
Iuliana Malina Grigore, Gabriel Marques Tavares, Vincenzo Pasquadibisceglie, Thomas Seidl, Sylvio Barbon Junior
2025 — conf
Using Heterogeneous Graph Neural Networks for Explainable Next-Activity Prediction.
SEBD
Vincenzo Pasquadibisceglie, Raffaele Scaringi, Annalisa Appice, Giovanna Castellano, Donato Malerba
2024 J jnl
${\sf PROPHET}$PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks.
IEEE Trans. Serv. Comput.
Vincenzo Pasquadibisceglie, Raffaele Scaringi, Annalisa Appice, Giovanna Castellano, Donato Malerba
2024 C conf
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery.
ISMIS
Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba
2024 J jnl
Data-Centric AI.
J. Intell. Inf. Syst.
Donato Malerba, Vincenzo Pasquadibisceglie
2024 — conf
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers.
SEBD
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2024 J jnl
JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction.
IEEE Trans. Serv. Comput.
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2024 B conf
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs.
ICPM
Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba
2024 J jnl
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments.
J. Intell. Inf. Syst.
Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba
2023 — conf
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.
AI*IA
Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie
2023 J jnl
DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring.
Eng. Appl. Artif. Intell.
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2023 J jnl
STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams.
IEEE Trans. Serv. Comput.
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, Donato Malerba
2022 J jnl
A Multi-View Deep Learning Approach for Predictive Business Process Monitoring.
IEEE Trans. Serv. Comput.
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2022 B conf
A mobile app for contactless measurement of vital signs through remote Photoplethysmography.
SMC
Gabriella Casalino, Giovanna Castellano, Andrea Nisio, Vincenzo Pasquadibisceglie, Gianluca Zaza
2022 B conf
A multi-view deep learning approach for predictive business processes monitoring.
SERVICES
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2022 J jnl
PROMISE: Coupling predictive process mining to process discovery.
Inf. Sci.
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Wil M. P. van der Aalst
2022 — conf
Predictive Process Mining for Improving Business Process Management.
BPM (PhD/Demos)
Vincenzo Pasquadibisceglie
2021 B conf
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation.
ICPM
Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba
2021 — conf
Leveraging Multi-view Deep Learning for Next Activity Prediction.
ITBPM@BPM
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2020 — conf
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease.
EAIS
Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza
2020 J jnl
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs.
IEEE Access
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno
2020 — conf
Predictive Process Mining Meets Computer Vision.
BPM (Forum)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2019 J jnl
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules.
Inf.
Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza
2019 — conf
Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process.
MobiHealth
Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza
2019 B conf
Using Convolutional Neural Networks for Predictive Process Analytics.
ICPM
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2018 — conf
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment.
WILF
Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza
2017 J jnl
FISDeT: Fuzzy Inference System Development Tool.
Int. J. Comput. Intell. Syst.
Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza