most citedVisual Evaluation of Generative Adversarial Networks for Time Series Data

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019★ 4 cited

Visual Evaluation of Generative Adversarial Networks for Time Series Data

Hiba Arnout, Johannes Kehrer, Johanna Bronner +1

A crucial factor to trust Machine Learning (ML) algorithm decisions is a good representation of its application field by the training dataset. This is particularly true when parts…

cs.LG2019

Towards a Rigorous Evaluation of XAI Methods on Time Series

Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2

Explainable Artificial Intelligence (XAI) methods are typically deployed to explain and debug black-box machine learning models. However, most proposed XAI methods are black-boxes…