Abstract: Retinal diseases (RD) are major causes of global vision impairment. Automated diagnosis using fundus images has significant clinical value, particularly in multi-label classification of RD.

Off-label rituximab was noninferior to ocrelizumab (Ocrevus) in people with newly diagnosed relapsing multiple sclerosis (MS) and recent disease activity, the phase III OVERLORD-M ...

At the end of the label taxonomy generation phase, we conduct a lightweight human calibration [23] on the intent taxonomy and domain taxonomy generated from TnT-LLM with GPT-4 to improve their clarity ...

The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.

The Food and Drug Administration released final rules on labeling foods as “healthy,” tightening limits for sugar, sodium and saturated fat. By Christina Jewett The Food and Drug Administration on ...

But new research challenges this customary approach to multi-object classification tasks. In an article published today in Physica A, researchers from Bar-Ilan University in Israel show how ...

To help you better understand the type of data with which you interact, UAB IT will enable data classification labels for files in the Microsoft 365 environment on Dec. 6. Labels correspond to UAB’s ...

Moreover, all of then are available ready to use in this framework under the folder src/ml_datasets. The datasets employed are the following, and more information about how to load them is presented ...

Abstract: Multi-label stream classification aims to address the challenge of dynamically assigning multiple labels to sequentially-arrived instances. In real situations, only partial labels of ...