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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
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 ...
In a rapidly evolving world where artificial intelligence is reshaping not only entire industries but the world itself, students need to be prepared to harness this technology to solve pressing issues ...
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