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: Image analysis based on biological morphological differences is an important development direction for classification and determination of planktonic algae. However, it has some shortages, ...

Abstract: Conventional classification algorithms have shown great success for balanced classes. In remote sensing applications, it is often the case that classes are imbalanced. This paper proposes a ...

In my last tutorial , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional neural network to perform facial recognition ...

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 ...

DeepDetect is a deep learning runtime, command-line tool, and REST server for training and inference. The Python wheel embeds the DeepDetect runtime in the current Python environment and provides the ...