This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Abstract: In the pursuit of enhancing industrial pump reliability and efficiency, this paper addresses the challenging issue of pump cavitation detection through the innovative application of machine ...

Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...