Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

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 ...

Abstract: Recently, the topic of multi-view multi-label classification has aroused significant attention from scholars. Plenty of methods adopt an average weighting scheme to merge the features ...

Abstract: In the field of multi-view multi-label learning, the challenges of incomplete views and missing labels are prevalent due to the complexity of manual labeling and data acquisition errors.

Hyperspectral image classification in remote sensing often encounters challenges due to limited annotated data. Semi-supervised learning methods present a promising solution. However, their ...

1 School of Media & Communication Shanghai Jiao Tong University, Shanghai, China 2 Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China Objective: This study ...

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 ...

In case you use any of the components for your research, please refer to (and cite) this paper: "LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in ...