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0 · Alfredo De Santis
1 · dblp: Using generative adversarial networks for improving
2 · Using generative adversarial networks for improving classification
3 · Short resume – Prof.Alfredo De Santis
4 · Prof.Alfredo De Santis – Dipartimento di Informatica – Università
5 · On correlation between the order of S
6 · Can D.S.A. be improved? — Complexity trade
7 · Blockchain: A Panacea for Healthcare Cloud
8 · Alfredo De Santis's research works
9 · Alfredo De Santis
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Co-authors. Carlo Blundo Professor of Computer Science, Università di Salerno. Aniello Castiglione Department of Management and Innovation Systems - University of Salerno - Italy. .
Alfredo De Santis is the Deputy Director of the Dipartimento di Informatica, Università di Salerno. He is a professor of Computer Science. He is the Delegate of the Rector for ICT (Information .Ugo Fiore, Alfredo De Santis, Francesca Perla, Paolo Zanetti, Francesco Palmieri: Using generative adversarial networks for improving classification effectiveness in credit card fraud .
Ugo Fiore, Alfredo De Santis, Francesca Perla, Paolo Zanetti, Francesco Palmieri: Using generative adversarial networks for improving classification effectiveness in credit card .
This paper introduces a practical algorithm for deriving the best differential characteristic and the best linear expression of DES. Its principle is based on a duality .Alfredo De Santis's 250 research works with 11,629 citations and 21,565 reads, including: Privacy-preserving Secure Media Streaming for Multi-user Smart Environments. A neural network based on a three-layer, feed-forward Radial Basis Function has been used to assign a fraud score to new credit card transactions in [15], whereas another . Abstract. The Digital Signature Algorithm (DSA) was proposed in 1991 by the US National Institute of Standards and Technology to provide an appropriate core for applications .
Abstract: One particular trend observed in healthcare is the progressive shift of data and services to the cloud, partly due to convenience (e.g. availability of complete patient .Alfredo De Santis. From November 1990 he is a Professor of Computer Science. Department Chair. From January 2022: Deputy Chairman ( Direttore Vicario) of the “Dipartimento di .
Co-authors. Carlo Blundo Professor of Computer Science, Università di Salerno. Aniello Castiglione Department of Management and Innovation Systems - University of Salerno - Italy. .
Alfredo De Santis
dblp: Using generative adversarial networks for improving
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Alfredo De Santis is the Deputy Director of the Dipartimento di Informatica, Università di Salerno. He is a professor of Computer Science. He is the Delegate of the Rector for ICT (Information .Ugo Fiore, Alfredo De Santis, Francesca Perla, Paolo Zanetti, Francesco Palmieri: Using generative adversarial networks for improving classification effectiveness in credit card fraud . Ugo Fiore, Alfredo De Santis, Francesca Perla, Paolo Zanetti, Francesco Palmieri: Using generative adversarial networks for improving classification effectiveness in credit card .
This paper introduces a practical algorithm for deriving the best differential characteristic and the best linear expression of DES. Its principle is based on a duality .Alfredo De Santis's 250 research works with 11,629 citations and 21,565 reads, including: Privacy-preserving Secure Media Streaming for Multi-user Smart Environments. A neural network based on a three-layer, feed-forward Radial Basis Function has been used to assign a fraud score to new credit card transactions in [15], whereas another .
Abstract. The Digital Signature Algorithm (DSA) was proposed in 1991 by the US National Institute of Standards and Technology to provide an appropriate core for applications . Abstract: One particular trend observed in healthcare is the progressive shift of data and services to the cloud, partly due to convenience (e.g. availability of complete patient .
Alfredo De Santis. From November 1990 he is a Professor of Computer Science. Department Chair. From January 2022: Deputy Chairman ( Direttore Vicario) of the “Dipartimento di .
Co-authors. Carlo Blundo Professor of Computer Science, Università di Salerno. Aniello Castiglione Department of Management and Innovation Systems - University of Salerno - Italy. .Alfredo De Santis is the Deputy Director of the Dipartimento di Informatica, Università di Salerno. He is a professor of Computer Science. He is the Delegate of the Rector for ICT (Information .Ugo Fiore, Alfredo De Santis, Francesca Perla, Paolo Zanetti, Francesco Palmieri: Using generative adversarial networks for improving classification effectiveness in credit card fraud .
Ugo Fiore, Alfredo De Santis, Francesca Perla, Paolo Zanetti, Francesco Palmieri: Using generative adversarial networks for improving classification effectiveness in credit card . This paper introduces a practical algorithm for deriving the best differential characteristic and the best linear expression of DES. Its principle is based on a duality .Alfredo De Santis's 250 research works with 11,629 citations and 21,565 reads, including: Privacy-preserving Secure Media Streaming for Multi-user Smart Environments. A neural network based on a three-layer, feed-forward Radial Basis Function has been used to assign a fraud score to new credit card transactions in [15], whereas another .
Abstract. The Digital Signature Algorithm (DSA) was proposed in 1991 by the US National Institute of Standards and Technology to provide an appropriate core for applications .
Abstract: One particular trend observed in healthcare is the progressive shift of data and services to the cloud, partly due to convenience (e.g. availability of complete patient .
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Using generative adversarial networks for improving classification
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alfredo de santis panerai|Can D.S.A. be improved? — Complexity trade
