most citedExplainable Failure Predictions with RNN Classifiers based on Time Series Data

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020

From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering

Nuno Mota Goncalves, Ioana Giurgiu, Anika Schumann

Unsupervised clustering of temporal data is both challenging and crucial in machine learning. In this paper, we show that neither traditional clustering methods, time series specif…

cs.LG2019★ 5 cited

Explainable Failure Predictions with RNN Classifiers based on Time Series Data

Ioana Giurgiu, Anika Schumann

Given key performance indicators collected with fine granularity as time series, our aim is to predict and explain failures in storage environments. Although explainable predictive…