San Francisco's AI economy is mostly being defined by the companies spending the most. Foundation model labs raise billions, ...
Abstract: This paper presents a generative data augmentation approach for human activity recognition (HAR) to close the distribution gap between laboratory training and real-world deployment. Despite ...
The power of Python trumps Excel workbooks.
Abstract: Data augmentation helps neural networks generalize better by enlarging the training set, but it remains an open question how to effectively augment graph data to enhance the performance of ...
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