[HTML][HTML] Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
J Waring, C Lindvall, R Umeton - Artificial intelligence in medicine, 2020 - Elsevier
Objective This work aims to provide a review of the existing literature in the field of
automated machine learning (AutoML) to help healthcare professionals better utilize …
automated machine learning (AutoML) to help healthcare professionals better utilize …
Intelligent financial fraud detection practices in post-pandemic era
The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Friend or foe? Teaming between artificial intelligence and workers with variation in experience
As artificial intelligence (AI) applications become more pervasive, it is critical to understand
how knowledge workers with different levels and types of experience can team with AI for …
how knowledge workers with different levels and types of experience can team with AI for …
Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …
infrastructures. SHM systems have produced huge amounts of data, but the effective …
A review of user interface design for interactive machine learning
JJ Dudley, PO Kristensson - ACM Transactions on Interactive Intelligent …, 2018 - dl.acm.org
Interactive Machine Learning (IML) seeks to complement human perception and intelligence
by tightly integrating these strengths with the computational power and speed of computers …
by tightly integrating these strengths with the computational power and speed of computers …
[HTML][HTML] Application of machine learning and data visualization techniques for decision support in the insurance sector
The insurance industry has a giant role in the sustainable economic growth of any country.
With an increase in the number of insurance buyers, it has become an absolute necessity for …
With an increase in the number of insurance buyers, it has become an absolute necessity for …
Healthcare data breaches: Implications for digital forensic readiness
M Chernyshev, S Zeadally, Z Baig - Journal of medical systems, 2019 - Springer
While the healthcare industry is undergoing disruptive digital transformation, data breaches
involving health information are not usually the result of integration of new technologies …
involving health information are not usually the result of integration of new technologies …
Blockchain and AI-empowered healthcare insurance fraud detection: an analysis, architecture, and future prospects
Nowadays, health insurance has become an essential part of people's lives as the number
of health issues increases. Healthcare emergencies can be troublesome for people who …
of health issues increases. Healthcare emergencies can be troublesome for people who …
Explainable artificial intelligence (xai) in insurance
Explainable Artificial Intelligence (XAI) models allow for a more transparent and
understandable relationship between humans and machines. The insurance industry …
understandable relationship between humans and machines. The insurance industry …