Abstract: Pavement distress classification is crucial for the maintenance of highways. Although many methods for classifying pavement distress are available, they all assume that training and testing ...

Neurogastroenterology & Motility paper describes the Auckland Classification, which is designed to bring clinical clarity to the hundreds of ...

Here's a stat that should keep security leaders up at night: 83% of enterprises already use AI in daily operations, but only 13% have strong visibility into how it touches their data. That gap is ...

Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image classification, addressing the critical challenge of limited labeled data in healthcare where expert annotation is ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States ...

Most time series anomaly detection models aim to learn normal behavior from unlabelled data, identifying anomalies as deviations from this behavior. However, the lack of labelled data makes it ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

Baseline for IEEE ICME 2024 Grand Challenge. This Challenge aims to push the boundaries of computational audition by tackling one of its most compelling problems: effectively classifying acoustic ...