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Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
General aviation flight data for phase of flight identification is usually per-second data, comes on a large scale, and is class imbalanced.
A Comparison of Semantic Similarity Methods for Maximum Human Interpretability
This paper presents three different methods that not only focus on the text's words but also incorporates semantic information of texts in their feature vector and computes semantic similarities.
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