A data storage strategy that addresses data sovereignty builds on the classification of data in the data audit to limit what data can go where. As part of the classification process, data will be ...
Source code for the data analysis and models, including the FewSOC prompting framework for O*NET-SOC classification, used in the paper "Leveraging Large Language Models for Career Mobility Analysis: A ...
Source code for the taxonomic knowledge assessment and occupation/skill classification, used in the ICWSM paper "A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification ...
Abstract: Knowledge distillation is a technique designed to enhance the recognition capabilities of lightweight neural networks, which are suitable for deployment on mobile devices. This approach ...
Abstract: To realize Industry 5.0, manufacturers face various optimization problems that seldom appear in isolation. Evolutionary MultiTasking (EMT) is an effective method to solve multiple related ...
Deep learning techniques are increasingly applied to neuroimaging analysis, with 3D CNNs offering superior performance for volumetric imaging. However, their reliance on large datasets is challenging ...
PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...
Since the invention of printing, the problem of classifying knowledge has only increased. With digitization, the amount of data to be classified, produced by a larger and, above all, better-educated ...
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With the rapid development of the information age, there are more and more cases of new technologies being used in education, and English education should also increase the use of these technologies ...