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Vincenzo Pasquadibisceglie

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2020 – today

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2024
[j8]
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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)
[c14]
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Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba:
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. ICPM 2024: 1-8
[c13]
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Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba:
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. ISMIS 2024: 136-145
[c12]
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Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. SEBD 2024: 349-358
2023
[j7]
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  - journals/eaai/Pasquadibisceglie23
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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(Part C): 106461 (2023)
[j6]
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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)
[c11]
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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 2023: 205-217
2022
[j5]
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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)
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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)
[c10]
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Vincenzo Pasquadibisceglie:
Predictive Process Mining for Improving Business Process Management. BPM (PhD/Demos) 2022: 10-14
[c9]
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Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A multi-view deep learning approach for predictive business processes monitoring. SERVICES 2022: 26
[c8]
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Gabriella Casalino, Giovanna Castellano, Andrea Nisio, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A mobile app for contactless measurement of vital signs through remote Photoplethysmography. SMC 2022: 2675-2680
2021
[c7]
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Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM 2021: 1-6
[c6]
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Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba:
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. ICPM 2021: 112-119
2020
[j3]
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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: 184073-184086 (2020)
[c5]
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Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Predictive Process Mining Meets Computer Vision. BPM (Forum) 2020: 176-192
[c4]
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  - conf/eais/CasalinoGIPZ20
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Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease. EAIS 2020: 1-7

2010 – 2019

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2019
[j2]
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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)
[c3]
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Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Using Convolutional Neural Networks for Predictive Process Analytics. ICPM 2019: 129-136
[c2]
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Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza:
Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process. MobiHealth 2019: 43-59
2018
[c1]
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  - conf/wilf/CasalinoCCPZ18
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Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment. WILF 2018: 97-108
2017
[j1]
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  - journals/ijcisys/CastellanoCPZ17
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Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza:
FISDeT: Fuzzy Inference System Development Tool. Int. J. Comput. Intell. Syst. 10(1): 13-22 (2017)

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