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Found 2 papers, 1 papers with code
Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection
To address these drawbacks, we investigate our unsupervised instance selection (UNISEL) technique followed by a Random Forest (RF) classifier on 10 outlier detection datasets under low-label conditions.
Towards automatic extractive text summarization of A-133 Single Audit reports with machine learning
Following text preprocessing and GloVe embedding, sentence-level k-means clustering was performed to partition sentences by topic and to establish the importance of each sentence.
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