The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

Purpose Residency programs face overwhelming numbers of residency applications,
limiting holistic review. Artificial intelligence techniques have been proposed to address this …

In the 21st century, University educations are becoming a key pillar of social and economic
life. It plays a major role not only in the educational process but also in the ensuring of two …

Background and Objectives Selecting applications for college admission is critical for
university operation and development. This paper leverages machine learning techniques to …

Letters of Recommendation (LOR) are key components of the undergraduate and graduate
admissions process. A fair and objective evaluation of these LORs is difficult due to diverse …

In the rapidly changing landscape of engineering, education and employment, this research
paper presents a novel way to bridge the gap between data driven decision making and the …

The success of supervised machine learning algorithms rests on the assumption that data
are drawn from the same underlying distribution. However, this assumption is often violated …

Abstract Machine Learning allows us to reduce the human error probability by providing very
strong recommendations, predictions, and decisions based on only the input data. For that …

Admission of applicants to higher education in a fair, reliable, transparent, and efficient way
is a real challenge, especially if there are more eligible applicants than available places and …