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Found 2 papers, 1 papers with code
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
Time series forecasting is a relevant task that is performed in several real-world scenarios such as product sales analysis and prediction of energy demand.
DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks
In this paper, we propose DeepAlign, a novel approach to multi-perspective process anomaly correction, based on recurrent neural networks and bidirectional beam search.
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