This is the first experiment of Image Segmentation for Endoscopy Multi Organ Disease (EDD2020) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and ...

Abstract: Distance-based unsupervised text classification is a method within text classification that leverages the semantic similarity between a label and a text to determine label relevance. This ...

Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

Trade groups say proposed labels are misleading, violate First Amendment Texas law requires new warnings for 44 ingredients deemed unsafe by other countries Dec 8 (Reuters) - Food industry trade ...

I have read the paper and it seemed to be a single-label multi-classification problem. But the code use BCE and sigmoid instead of crossEntropy and softmax. So does it mean that the patient may have ...

Are you overwhelmed by the sheer volume of text messages cluttering your Mac or iPad? You’re not alone. Many users find themselves endlessly scrolling through conversations, searching for important ...