Recent technological innovations along with the vast amount of available data worldwide
have led to the rise of cyberattacks against network systems. Intrusion Detection Systems …

Acute Pancreatitis (AP) is the inflammation of the pancreas that can be fatal or lead to further
complications based on the severity of the attack. Early detection of AP disease can help …

The increasing availability and use of sensitive personal data raises a set of issues
regarding the privacy of the individuals behind the data. These concerns become even more …

While generative artificial intelligence has gained popularity, eg, for the creation of images, it
can also be used for the creation of synthetic tabular data. This bears great potential …

Class imbalance is one of many problems of customer churn datasets. One of the common
problems is class overlap, where the data have a similar instance between classes. The …

The machining process knowledge base is a crucial tool in the decision-making process for
cutting process parameters, as the diversity and accuracy of its stored process knowledge …

Explainability algorithms such as LIME have enabled machine learning systems to adopt
transparency and fairness, which are important qualities in commercial use cases. However …

The abundance of tabular microdata constitutes a valuable resource for research,
policymaking, and innovation. However, due to stringent privacy regulations, a significant …

Recommender Systems (RS) have proven successful in a wide variety of domains, and the
human resources (HR) domain is no exception. RS proved valuable for recommending …

Predicting the probability of non-performing loans for individuals has a vital and beneficial
role for banks to decrease credit risk and make the right decisions before giving the loan …