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 ...

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 ...

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 meta-analysis of cohort studies assessing FLOT regimen in the treatment of esophageal cancer. Tislelizumab (TIS) + chemotherapy (CT) vs placebo (PBO) + CT as first-line treatment for locally ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

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 ...

Cross-border issuance raises operational and liquidity risks BOI says legal clarity would be 'timely and valuable' Multi-issuance creating tensions between ECB, EU Commission ROME, Sept 18 (Reuters) - ...

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 ...

Forbes contributors publish independent expert analyses and insights. Jared is attorney for music, entertainment, and digital media. The hip-hop rivalry between Kendrick Lamar and Drake may be ...

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 ...