Abstract: For fault classification in industrial processes, both inaccurate and incomplete supervised information commonly exist in practice, which raise a big challenge to the research field. In this ...

We have refactored the entire library to make it easier to understand and use. To avoid installing extra dependencies for additional features, we have commented out the non-numpy dependencies. If you ...

Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated superior ...

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes. Here we ...

This library is designed to be used with the Arduino IDE. Multilayer perceptron is decribed here. This library implements both training and inference phases on a dataset. Datasets can be created in ...

1 Department of Biological Sciences and Center for Bioengineering Innovation, Northern Arizona University, Flagstaff, AZ, USA. 2 Independent, Pittsburgh, PA, USA. 3 ...