Alzheimer's disease, which is characterized by a continual deterioration of cognitive abilities
in older people, is the most common form of dementia. Neuroimaging data, for example …

Abstract Background and Objective: Mortality prediction is an important task in intensive care
unit (ICU) for quantifying the severity of patients' physiological condition. Currently, scoring …

Robust and rabid mortality prediction is crucial in intensive care units because it is
considered one of the critical steps for treating patients with serious conditions. Combining …

Objectives Enhancing critical care efficacy involves evaluating and improving system
functioning. Benchmarking, a retrospective comparison of results against standards, aids …

Precision agriculture aims to increase crop yield by employing an efficient resource
management scheme, such as estimating irrigation requirements. Reference …

Although black-box models such as ensemble learning models often provide better
predictive performance than intrinsic interpretable models such as logistic regression, black …

The accurate prediction of the nitrogen oxides (NOx) emissions is extremely important for
pollutant control in municipal solid waste incineration (MSWI) process. Modular neural …

In the past decade, machine learning (ML) algorithms have been widely applied to build
prediction models for various mining applications. However, no research has been reported …

A mortality prediction model can be a great tool to assist physicians in decision making in
the intensive care unit (ICU) in order to ensure optimal allocation of ICU resources according …

Response modeling, a key to successful direct marketing, has become increasingly
prevalent in recent years. However, it practically suffers from the difficulty of class imbalance …