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

no code implementations • 2 Oct 2020 • Nuno Mota Goncalves, Ioana Giurgiu, Anika Schumann

Unsupervised clustering of temporal data is both challenging and crucial in machine learning.

Clustering Time Series +1

On Evaluating Explainability Algorithms

no code implementations • 25 Sep 2019 • Gokula Krishnan Santhanam, Ali Alami-Idrissi, Nuno Mota, Anika Schumann, Ioana Giurgiu

A plethora of methods attempting to explain predictions of black-box models have been proposed by the Explainable Artificial Intelligence (XAI) community.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

Explainable Failure Predictions with RNN Classifiers based on Time Series Data

no code implementations • 20 Jan 2019 • 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.

Time Series Time Series Analysis