most citedExplainable multi-class anomaly detection on functional data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

stat.ML2023

Distance Rank Score: Unsupervised filter method for feature selection on imbalanced dataset

Katarina Firdova, Céline Labart, Arthur Martel

This paper presents a new filter method for unsupervised feature selection. This method is particularly effective on imbalanced multi-class dataset, as in case of clusters of diffe…

stat.ML2022★ 1 cited

Explainable multi-class anomaly detection on functional data

Mathieu Cura, Katarina Firdova, Céline Labart +1

In this paper we describe an approach for anomaly detection and its explainability in multivariate functional data. The anomaly detection procedure consists of transforming the ser…