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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2935416
Abstract: Medical applications challenge today’s text categorization techniques by demanding both high accuracy and ease-of-interpretation. Although deep learning has provided a leap forward in regard to accuracy, this leap comes at the sacrifice of interpretability. In…
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Keywords:
accuracy;
text categorization;
tsetlin machine;
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Published in 2023 at "Algorithms"
DOI: 10.3390/a16020093
Abstract: In Natural Language Processing (NLP), deep-learning neural networks have superior performance but pose transparency and explainability barriers, due to their black box nature, and, thus, there is lack of trustworthiness. On the other hand, classical…
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Keywords:
tsetlin machine;
machine;
spam review;
review detection ... See more keywords