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Vincenzo Pasquadibisceglie
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2020 – today
- 2024
- [j8]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]Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba:
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. ICPM 2024: 1-8 - [c13]Vincenzo Pasquadibisceglie
, Donato Lucente, Donato Malerba
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. ISMIS 2024: 136-145 - [c12]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. SEBD 2024: 349-358 - 2023
- [j7]Vincenzo Pasquadibisceglie
DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring. Eng. Appl. Artif. Intell. 123(Part C): 106461 (2023) - [j6]Vincenzo Pasquadibisceglie
STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. IEEE Trans. Serv. Comput. 16(4): 2970-2984 (2023) - [c11]Giuseppina Andresini
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA 2023: 205-217 - 2022
- [j5]Vincenzo Pasquadibisceglie
PROMISE: Coupling predictive process mining to process discovery. Inf. Sci. 606: 250-271 (2022) - [j4]Vincenzo Pasquadibisceglie
A Multi-View Deep Learning Approach for Predictive Business Process Monitoring. IEEE Trans. Serv. Comput. 15(4): 2382-2395 (2022) - [c10]Vincenzo Pasquadibisceglie:
Predictive Process Mining for Improving Business Process Management. BPM (PhD/Demos) 2022: 10-14 - [c9]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A multi-view deep learning approach for predictive business processes monitoring. SERVICES 2022: 26 - [c8]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]Vincenzo Pasquadibisceglie
Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM 2021: 1-6 - [c6]Vincenzo Pasquadibisceglie
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. ICPM 2021: 112-119 - 2020
- [j3]Vincenzo Pasquadibisceglie
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs. IEEE Access 8: 184073-184086 (2020) - [c5]Vincenzo Pasquadibisceglie
Predictive Process Mining Meets Computer Vision. BPM (Forum) 2020: 176-192 - [c4]Gabriella Casalino
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease. EAIS 2020: 1-7
2010 – 2019
- 2019
- [j2]Gabriella Casalino
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules. Inf. 10(1): 9 (2019) - [c3]Vincenzo Pasquadibisceglie
Using Convolutional Neural Networks for Predictive Process Analytics. ICPM 2019: 129-136 - [c2]Gabriella Casalino
Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process. MobiHealth 2019: 43-59 - 2018
- [c1]Gabriella Casalino
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment. WILF 2018: 97-108 - 2017
- [j1]Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie
FISDeT: Fuzzy Inference System Development Tool. Int. J. Comput. Intell. Syst. 10(1): 13-22 (2017)
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last updated on 2024-10-02 21:36 CEST by the dblp team
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