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LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish
Pre-trained Language Models such as BERT have become ubiquitous in NLP where they have achieved state-of-the-art performance in most NLP tasks.
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production
The dark face of digital commerce generalization is the increase of fraud attempts.
A Constrained Randomized Shortest-Paths Framework for Optimal Exploration
The present work extends the randomized shortest-paths framework (RSP), interpolating between shortest-path and random-walk routing in a network, in three directions.
An experimental study of graph-based semi-supervised classification with additional node information
The volume of data generated by internet and social networks is increasing every day, and there is a clear need for efficient ways of extracting useful information from them.
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