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 ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

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Introduction: Accurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional ...

Amid the blizzard of breaking news, a familiar irritation poked through: ethnic labeling. The issue unexpectedly emerged this week while the Senate considered a stopgap federal funding bill to keep ...

Abstract: Multi-label classification problem has emerged rapidly from more and more domains as the popularity and complexity of data nature. In this work, we proposed a framework that can solve ...

Abstract: In most traditional classification methods, each instance is associated with one single nominal target variable (single-label problems). However, there are also cases where an instance can ...