Objective Informative presence (IP) is the phenomenon whereby the presence or absence of
patient data is potentially informative with respect to their health condition, with informative …

Abstract Research Question: This paper reviews different artificial intelligence (AI)
techniques application in financial risk management. Motivation: Financial technology has …

Incompleteness is one of the problematic data quality challenges in real-world machine
learning tasks. A large number of studies have been conducted for addressing this …

Images and structured tables are essential parts of real-world databases. Though tabular-
image representation learning is promising for creating new insights, it remains a …

Multivariate time series with missing data is ubiquitous when the streaming data is collected
by sensors or any other recording instruments. For instance, the outdoor sensors gathering …

Background Handoffs or care transitions from the operating room (OR) to intensive care unit
(ICU) are fragmented and vulnerable to communication errors. Although protocols and …

Research Question: This paper reviews different artificial intelligence (AI) techniques
application in financial risk management. Motivation: Financial technology has significantly …

Abstract Background Electronic Health Records (EHR) are widely used to develop clinical
prediction models (CPMs). However, one of the challenges is that there is often a degree of …

Processing of missing data by modern neural networks, such as CNNs, remains a
fundamental, yet unsolved challenge, which naturally arises in many practical applications …

This research examines the use of artificial intelligence (AI) as a financial risk management
tool. The concept is motivated by the revolutionary effects that financial technology has on …