Martin Baumgartner

According to our database, Martin Baumgartner authored at least 10 papers between 2005 and 2024.

Collaborative distances:

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

2024

Neural Network-Based Prediction of Perceived Sleep Quality Through Wearable Device Data.

Martin Baumgartner, Manuel Grössl, Raphaela Haumer, Katharina Poimer, Flora Prantl, Katharina Weick, Markus Falgenhauer, Stefan Beyer, Andreas Ziegl, Aaron Lauschensky, Fabian Wiesmüller, Karl Kreiner, Dieter Hayn, Günter Schreier

Proceedings of the dHealth 2024, 2024

2023

Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG Classification.

Martin Baumgartner, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier

J. Heal. Informatics Res., September, 2023

Classification of Clinical Notes from a Heart Failure Telehealth Network.

Fabian Wiesmüller, Aaron Lauschenski, Martin Baumgartner, Dieter Hayn, Karl Kreiner, Bettina Fetz, Luca Brunelli, Gerhard Pölzl, Bernhard Pfeifer, Sabrina B. Neururer, Günter Schreier

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Towards a Verification Approach of a Smart Registry for Chronic Heart Failure Patients.

Christoph Eberharter, Martin Baumgartner, Karl Kreiner, Aaron Lauschensky, Robert Modre-Osprian, Sabrina B. Neururer, Dieter Hayn, Luca Brunelli, Gerald Slamanig, Sarah Prantl, Bernhard Pfeifer, Gerhard Pölzl, Günter Schreier

Proceedings of the dHealth 2023, 2023

2022

Integration of Python Modules in a MATLAB-Based Predictive Analytics Toolset for Healthcare.

Lukas Haider, Martin Baumgartner, Dieter Hayn, Günter Schreier

Proceedings of the dHealth 2022, 2022

Impact Analysis of De-Identification in Clinical Notes Classification.

Martin Baumgartner, Günter Schreier, Dieter Hayn, Karl Kreiner, Lukas Haider, Fabian Wiesmüller, Luca Brunelli, Gerhard Pölzl

Proceedings of the dHealth 2022, 2022

2021

ECG Classification Combining Conventional Signal Analysis, Random Forests and Neural Networks - a Stacked Learning Scheme.

Martin Baumgartner, Martin Kropf, Lukas Haider, Sai Veeranki, Dieter Hayn, Günter Schreier

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Experimenting with Generative Adversarial Networks to Expand Sparse Physiological Time-Series Data.

Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn, Günter Schreier

Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020

Multi-Stream Deep Neural Network For 12-Lead ECG Classification.

Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn, Günter Schreier

Proceedings of the Computing in Cardiology, 2020

2005

One evaluation of model-based testing and its automation.

Alexander Pretschner, Wolfgang Prenninger, Stefan Wagner, Christian Kühnel, Martin Baumgartner, Bernd Sostawa, Rüdiger Zölch, Thomas Stauner

Proceedings of the 27th International Conference on Software Engineering (ICSE 2005), 2005