A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Abstract: Satellite image classification is crucial for various applications, driving advancements in convolutional neural networks (CNNs). While CNNs have proven effective, deep models often ...

Abstract: Feature selection is becoming a major component of object-based classification as numerous features of segmented object become available. Although common feature selection methods in ...

Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...