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 ...
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 learning poses significant challenges due to the complexities of co-occurring labels. Adversarial examples are critical in safety-sensitive domains, where malicious tampered data ...
In my last article, we defined what Sensitivity labels and Sensitive Information Types were, how they relate to each other, how they are created, and the elements that each sensitive information type ...
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