Hiba Arnout

According to our database, Hiba Arnout authored at least 10 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Generative Adversarial Networks for Time Series Generation and Translation.

Hiba Arnout

PhD thesis, 2022

2021

ClaRe-GAN: Generation of Class-Specific Time Series.

Hiba Arnout, Johanna Bronner, Thomas A. Runkler

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning.

Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Evaluation of Generative Adversarial Networks for Time Series Data.

Hiba Arnout, Johanna Bronner, Thomas A. Runkler

Proceedings of the International Joint Conference on Neural Networks, 2021

Differentially Private Time Series Generation.

Hiba Arnout, Johanna Bronner, Thomas A. Runkler

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Visual Evaluation of Generative Adversarial Networks for Time Series Data.

Hiba Arnout, Johannes Kehrer, Johanna Bronner, Thomas A. Runkler

CoRR, 2020

Towards visual debugging for multi-target time series classification.

Udo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

DR-TiST: Disentangled Representation for Time Series Translation Across Application Domains.

Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Towards a Rigorous Evaluation of XAI Methods on Time Series.

Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim

CoRR, 2019

Towards A Rigorous Evaluation Of XAI Methods On Time Series.

Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019