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Time Series Classifier Recommendation by a Meta-Learning Approach
This work addresses time series classifier recommendation for the first time in the literature by considering several recommendation forms or meta-targets: classifier accuracies, complete ranking, top-M ranking, best set ...
A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]
Digital data storage systems such as hard drives can suffer breakdowns that cause the loss of stored data. Due to the cost of data and the damage that its loss entails, hard drive failure prediction is vital. In this ...
Ad-Hoc Explanation for Time Series Classification
In this work, a perturbation-based model-agnostic explanation method for time series classification is presented. One of the main novelties of the proposed method is that the considered perturbations are interpretable and ...