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Vincenzo Pasquadibisceglie
Vincenzo Pasquadibisceglie
Univesity of Bari Aldo Moro
Verified email at uniba.it
Title
Cited by
Cited by
Year
Using convolutional neural networks for predictive process analytics
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
2019 international conference on process mining (ICPM), 129-136, 2019
1222019
A multi-view deep learning approach for predictive business process monitoring
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
IEEE Transactions on Services Computing, 1-1, 2021
492021
Predictive process mining meets computer vision
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
Business Process Management Forum: BPM Forum 2020, Seville, Spain, September …, 2020
432020
Contact-less real-time monitoring of cardiovascular risk using video imaging and fuzzy inference rules
G Casalino, G Castellano, V Pasquadibisceglie, G Zaza
Information 10 (1), 9, 2018
362018
ORANGE: outcome-oriented predictive process monitoring based on image encoding and CNNs
V Pasquadibisceglie, A Appice, G Castellano, D Malerba, G Modugno
IEEE Access 8, 184073-184086, 2020
302020
Fox: a neuro-fuzzy model for process outcome prediction and explanation
V Pasquadibisceglie, G Castellano, A Appice, D Malerba
2021 3rd International Conference on Process Mining (ICPM), 112-119, 2021
262021
A fuzzy rule-based decision support system for cardiovascular risk assessment
G Casalino, G Castellano, C Castiello, V Pasquadibisceglie, G Zaza
Fuzzy Logic and Applications: 12th International Workshop, WILF 2018, Genoa …, 2019
222019
A hierarchical fuzzy system for risk assessment of cardiovascular disease
G Casalino, R Grassi, M Iannotta, V Pasquadibisceglie, G Zaza
2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-7, 2020
162020
Fisdet: Fuzzy inference system development tool
G Castellano, C Castiello, V Pasquadibisceglie, G Zaza
International Journal of Computational Intelligence Systems 10 (1), 13-22, 2017
162017
PROMISE: Coupling Predictive Process Mining to Process Discovery
V Pasquadibisceglie, A Appice, G Castellano, W van der Aalst
Information Sciences, 2022
122022
Darwin: An online deep learning approach to handle concept drifts in predictive process monitoring
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
Engineering Applications of Artificial Intelligence 123, 106461, 2023
102023
A personal healthcare system for contact-less estimation of cardiovascular parameters
V Pasquadibisceglie, G Zaza, G Castellano
2018 AEIT International Annual Conference, 1-6, 2018
72018
STARDUST: a novel process mining approach to discover evolving models from trace streams
V Pasquadibisceglie, A Appice, G Castellano, N Fiorentino, D Malerba
IEEE Transactions on Services Computing, 2022
62022
JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
IEEE Transactions on Services Computing, 2023
42023
A mobile app for contactless measurement of vital signs through remote Photoplethysmography
G Casalino, G Castellano, A Nisio, V Pasquadibisceglie, G Zaza
2022 IEEE international conference on systems, man, and cybernetics (SMC …, 2022
42022
Leveraging Multi-view Deep Learning for Next Activity Prediction⋆
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
32021
Evaluating end-user perception towards a cardiac self-care monitoring process
G Casalino, G Castellano, V Pasquadibisceglie, G Zaza
Wireless Mobile Communication and Healthcare: 8th EAI International …, 2020
32020
TSUNAMI-an explainable PPM approach for customer churn prediction in evolving retail data environments
V Pasquadibisceglie, A Appice, G Ieva, D Malerba
Journal of Intelligent Information Systems 62 (3), 705-733, 2024
12024
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
V Pasquadibisceglie, D Lucente, D Malerba
International Symposium on Methodologies for Intelligent Systems, 136-145, 2024
2024
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers
V Pasquadibisceglie, A Appice, G Castellano, D Malerba
2024
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