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Found 3 papers, 2 papers with code
Counterfactual Explanations for Multivariate Time-Series without Training Datasets
However, most existing CFE methods require access to the model's training dataset, few methods can handle multivariate time-series, and none can handle multivariate time-series without training datasets.
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks
A barrier to proactive maintenance is the city's inability to predict the risk of failure on parts of its infrastructure.
Applications
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation
Estimating student proficiency is an important task for computer based learning systems.
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