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Found 5 papers, 3 papers with code
Universal representations for financial transactional data: embracing local, global, and external contexts
Effective processing of financial transactions is essential for banking data analysis.
Usage of specific attention improves change point detection
The change point is a moment of an abrupt alteration in the data distribution.
Deep learning model solves change point detection for multiple change types
Common approaches assume that there are only two fixed distributions for data: one before and another after a change point.
Similarity learning for wells based on logging data
The essence of the interwell correlation constitutes an assessment of the similarities between geological profiles.
InDiD: Instant Disorder Detection via Representation Learning
For sequential data, a change point is a moment of abrupt regime switch in data streams.
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