Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Antonella Guzzo"'
Autor:
Marianna Talia, Francesca Cirillo, Domenica Scordamaglia, Marika Di Dio, Azzurra Zicarelli, Salvatore De Rosis, Anna Maria Miglietta, Carlo Capalbo, Ernestina Marianna De Francesco, Antonino Belfiore, Fedora Grande, Bruno Rizzuti, Maria Antonietta Occhiuzzi, Giancarlo Fortino, Antonella Guzzo, Gianluigi Greco, Marcello Maggiolini, Rosamaria Lappano
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-22 (2024)
Abstract Background The cyclin D1-cyclin dependent kinases (CDK)4/6 inhibitor palbociclib in combination with endocrine therapy shows remarkable efficacy in the management of estrogen receptor (ER)-positive and HER2-negative advanced breast cancer (B
Externí odkaz:
https://doaj.org/article/953c860ef51d47f89a770236fa68ff4a
DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2082 (2023)
Breast cancer causes hundreds of women’s deaths each year. The manual detection of breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer (BC) detection, several imaging methods are explored. However, sometimes mis
Externí odkaz:
https://doaj.org/article/0d0123c7f47546ea87308ee44e5de173
Autor:
Antonella Guzzo
Publikováno v:
Algorithms, Vol 14, Iss 1, p 13 (2021)
This article is the editorial of the “Process Mining and Emerging Applications” (https://www [...]
Externí odkaz:
https://doaj.org/article/24b083e44d854edd9e3ac04e3a52a2a5
Autor:
Luciano Argento, Francesco Buccafurri, Angelo Furfaro, Sabrina Graziano, Antonella Guzzo, Gianluca Lax, Francesco Pasqua, Domenico Saccà
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 165 (2020)
Accountability refers to the need of individuals or organizations to account for their activities, accept responsibility, and disclose results in a transparent manner. Nowadays, the pervasivity of digital systems is making increasingly critical secur
Externí odkaz:
https://doaj.org/article/b068550b69cc4dd4aea7ca2e240ca838
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:4771-4783
The task of identifying malicious activities in logs and predicting threats is crucial nowadays in industrial sector. In this paper, we focus on the identification of past malicious activities and in the prediction of future threats by proposing a no
Publikováno v:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Publikováno v:
2022 IEEE International Conference on Cyber Security and Resilience (CSR).
Autor:
Saidi Guo, Heye Zhang, Yifeng Gao, Hui Wang, Lei Xu, Zhifan Gao, Antonella Guzzo, Giancarlo Fortino
Publikováno v:
Computer Methods and Programs in Biomedicine. 236:107547
Publikováno v:
Future Generation Computer Systems. 113:196-206
Many different techniques and tools have been proposed to prevent and detect malicious activities by means of a very challenging data analysis task. The main sources for data analysis are the activity logs that are produced in large volumes at run ti
Publikováno v:
IEEE Internet of Things Journal. :1-1