Deep learning has been successfully applied to many classification problems including
underwater challenges. However, a long-standing issue with deep learning is the need for …

Predicting absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of
small molecules is a key task in drug discovery. A major challenge in building better ADMET …

The clinical diagnosis of gastrointestinal stromal tumors (GISTs) requires time-consuming
tumor localization by physicians, while automated detection of GIST can help physicians …

With the aim to enhance automation in conflict detection and resolution (CD&R) tasks in the
air traffic management (ATM) domain, this article studies the use of artificial intelligence and …

Predicting ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of
small molecules is a key task in drug discovery. A major challenge in building better ADMET …

One of the main challenges for predictive maintenance in real applications is the quality of
the data, especially the labels. In this paper, we propose a methodology to filter out the …

The clinical diagnosis of gastrointestinal stromal tumors (GISTs) requires time-consuming
tumor localization by physicians, while automated detection of GIST can help physicians …