Organizational AI adoption lags usage. A framework for teams: automate, augment, or amplify each workflow to turn AI use into ...
Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...
Data scarcity and class imbalance remain critical challenges in medical image analysis, particularly for brain tumor MRI segmentation, where subcomponents such as enhancing tumor, non-enhancing tumor, ...
ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation
The advent of RNA sequencing (RNA-Seq) has significantly advanced our understanding of the transcriptomic landscape, revealing intricate gene expression patterns across biological states and ...
The SeisAug toolkit addresses a significant challenge in seismological studies: the limited availability of region- and depth-specific labeled data. This scarcity poses a preliminary drawback when ...
Abstract: Natural language processing model performance and generalization are greatly enhanced by text data augmentation. This paper introduces nlpaug, a Python library that provides a wide range of ...
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