However, recent studies reveal that machine learning-based methods are vulnerable to adversarial attacks, which can fool the event classifiers by adding small perturbations to the raw PMU data.

Abstract: The application of dual classifiers in adversarial learning significantly improves the convergence of cross-domain distributions. Traditional methods, however, largely focus on maintaining ...

Conversational AI tools that can generate and discuss clinically correct radiology reports for a given medical image have the potential to transform radiology. Such a human-in-the-loop radiology ...

The company also blocked sensitive content for input and output by creating new classifiers for teens. Earlier this year, the startup filed a motion to dismiss a lawsuit that alleged the company ...

The work as presented provides solid evidence that the use of the behavioral setup that the authors designed - using readily available laboratory equipment and standardised high-performing classifiers ...

We conducted this prospective study to establish the deep learning-based pain classifier based on facial expressions. Methods: We enrolled critically ill patients during 2020–2021 at a tertiary ...

PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and accurate evaluation of a large variety of ...