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Time Series Classifier Recommendation by a Meta-Learning Approach
Abanda, A.
; Mori, U.; Lozano, J.A. (2022-03-26)
; Mori, U.; Lozano, J.A. (2022-03-26)
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 ...
Ad-Hoc Explanation for Time Series Classification
Abanda, A.; Mori, U.; Lozano, J.A. (2022)
; Mori, U.; Lozano, J.A. (2022)
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 ...
A review on distance based time series classification
Abanda, A.; Mori, U.; Lozano, J.A. (2018-11-01)
; Mori, U.; Lozano, J.A. (2018-11-01)
Time series classification is an increasing research topic due to the vast amount of time series data
that is being created over a wide variety of fields. The particularity of the data makes it a challenging task
and ...