AI applications to medical images: From machine learning to deep learning
Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …
research and healthcare services. This review focuses on challenges points to be clarified …
A decade of social bot detection
S Cresci - Communications of the ACM, 2020 - dl.acm.org
A decade of social bot detection Page 1 72 COMMUNICATIONS OF THE ACM | OCTOBER
2020 | VOL. 63 | NO. 10 review articles ON THE MORNING of November 9, 2016, the world …
2020 | VOL. 63 | NO. 10 review articles ON THE MORNING of November 9, 2016, the world …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
On the use of artificial neural networks in topology optimisation
RV Woldseth, N Aage, JA Bærentzen… - Structural and …, 2022 - Springer
The question of how methods from the field of artificial intelligence can help improve the
conventional frameworks for topology optimisation has received increasing attention over …
conventional frameworks for topology optimisation has received increasing attention over …
Towards quantum enhanced adversarial robustness in machine learning
Abstract Machine learning algorithms are powerful tools for data-driven tasks such as image
classification and feature detection. However, their vulnerability to adversarial examples …
classification and feature detection. However, their vulnerability to adversarial examples …
[HTML][HTML] Operational research and artificial intelligence methods in banking
Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …
operational research (OR) and artificial intelligence (AI) methods. This article provides a …
Ransomware detection using the dynamic analysis and machine learning: A survey and research directions
U Urooj, BAS Al-rimy, A Zainal, FA Ghaleb… - Applied Sciences, 2021 - mdpi.com
Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …
[HTML][HTML] Digitalization in omnichannel healthcare supply chain businesses: The role of smart wearable devices
The advancement in technology has fostered the prevalence of the Internet of Things (IoT),
which enhances healthcare business quality, offers a seamless customer experience, and …
which enhances healthcare business quality, offers a seamless customer experience, and …
The state of the art in enhancing trust in machine learning models with the use of visualizations
Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …