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 ...

The Tampa Bomb Squad was brought in to conduct a "safety sweep" in Polk County after a car was found with multiple weapons and ammunition. The Haines City Police Department said the investigation ...

SEOUL, Dec 2 (Reuters) - Samsung Electronics (005930.KS), opens new tab unveiled on Tuesday its first multi-folding smartphone, in a bid to strengthen its position in a sector of the phone market ...

I would like to request clarification on the scope of “visible label” in SC 2.5.3 Label in Name, as we are encountering different interpretations in real-world projects. There is one visible text ...

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...

ABSTRACT: The quantification and evaluation of ecosystem services represent key drivers for the sustainable development of human activities, particularly within the framework of natural capital ...

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Evaluating ...

Skild Brain model enhances robot versatility across environments Robotics faces a unique data scarcity challenge, says CEO Pathak Model includes measures to ensure safe human interaction July 29 ...

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 ...