While large text-to-image models are able to synthesize "novel" images, these images are necessarily a reflection of the training data. The problem of data attribution in such models -- which of the ...

Abstract: Gas sensor array (GSA) data usually has high-dimensional features and a small sample size. When a classifier is directly used for GSA data classification, it is prone to overfitting and has ...

Abstract: Deep learning has attracted wide attention recently because of its excellent feature representation ability and end-to-end automatic learning method. Especially in clinical medical imaging ...

Koheesio is a versatile framework that supports multiple implementations and works seamlessly with various data processing libraries or frameworks. This ensures that Koheesio can handle any data ...