A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms. - Argha, Ahmadreza; Alinejad-Rokny, Hamid; Baumgartner, Martin; Schreier, Günter; Celler, Branko G.; Redmond, Stephen J.; Butcher, Ken; Ooi, Sze-Yuan; Lovell, Nigel H. (IEEE Trans. Biomed. Eng., 2025)

Masketeer: An Ensemble-Based Pseudonymization Tool with Entity Recognition for German Unstructured Medical Free Text. - Baumgartner, Martin; Kreiner, Karl; Wiesmüller, Fabian; Hayn, Dieter; Puelacher, Christian; Schreier, Günter (Future Internet, 2024)

Neural Network-Based Prediction of Perceived Sleep Quality Through Wearable Device Data. - Baumgartner, Martin; Grössl, Manuel; Haumer, Raphaela; Poimer, Katharina; Prantl, Flora; Weick, Katharina; Falgenhauer, Markus; Beyer, Stefan; Ziegl, Andreas; Lauschensky, Aaron; Wiesmüller, Fabian; Kreiner, Karl; et al. (2024)

dHealth 2024 - Proceedings of the 18th Health Informatics Meets Digital Health Conference, Vienna, Austria, May 7-8, 2024. (IOS Press, 2024)

Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG Classification. - Baumgartner, Martin; Veeranki, Sai Pavan Kumar; Hayn, Dieter; Schreier, Günter (J. Heal. Informatics Res., 2023)

Towards a Verification Approach of a Smart Registry for Chronic Heart Failure Patients. - Eberharter, Christoph; Baumgartner, Martin; Kreiner, Karl; Lauschensky, Aaron; Modre-Osprian, Robert; Neururer, Sabrina B.; Hayn, Dieter; Brunelli, Luca; Slamanig, Gerald; Prantl, Sarah; Pfeifer, Bernhard; Pölzl, Gerhard; et al. (2023)

Classification of Clinical Notes from a Heart Failure Telehealth Network. - Wiesmüller, Fabian; Lauschenski, Aaron; Baumgartner, Martin; Hayn, Dieter; Kreiner, Karl; Fetz, Bettina; Brunelli, Luca; Pölzl, Gerhard; Pfeifer, Bernhard; Neururer, Sabrina B.; Schreier, Günter (2023)

dHealth 2023 - Proceedings of the 17th Health Informatics Meets Digital Health Conference, Vienna, Austria, May 16-17, 2023. (IOS Press, 2023)

Impact Analysis of De-Identification in Clinical Notes Classification. - Baumgartner, Martin; Schreier, Günter; Hayn, Dieter; Kreiner, Karl; Haider, Lukas; Wiesmüller, Fabian; Brunelli, Luca; Pölzl, Gerhard (2022)

Integration of Python Modules in a MATLAB-Based Predictive Analytics Toolset for Healthcare. - Haider, Lukas; Baumgartner, Martin; Hayn, Dieter; Schreier, Günter (2022)

dHealth 2022 - Proceedings of the 16th Health Informatics Meets Digital Health Conference, Vienna, Austria, May 24-25, 2022. (IOS Press, 2022)

ECG Classification Combining Conventional Signal Analysis, Random Forests and Neural Networks - a Stacked Learning Scheme. - Baumgartner, Martin; Kropf, Martin; Haider, Lukas; Veeranki, Sai; Hayn, Dieter; Schreier, Günter (2021)

Navigating Healthcare Through Challenging Times - Proceedings of dHealth 2021 - Health Informatics Meets Digital Health, Virtual Conference, May 11-12, 2021 (IOS Press, 2021)

Multi-Stream Deep Neural Network For 12-Lead ECG Classification. - Baumgartner, Martin; Eggerth, Alphons; Ziegl, Andreas; Hayn, Dieter; Schreier, Günter (2020)

Experimenting with Generative Adversarial Networks to Expand Sparse Physiological Time-Series Data. - Baumgartner, Martin; Eggerth, Alphons; Ziegl, Andreas; Hayn, Dieter; Schreier, Günter (2020)

One evaluation of model-based testing and its automation. - Pretschner, Alexander; Prenninger, Wolfgang; Wagner, Stefan; Kühnel, Christian; Baumgartner, Martin; Sostawa, Bernd; Zölch, Rüdiger; Stauner, Thomas (CoRR, 2017)

One evaluation of model-based testing and its automation. - Pretschner, Alexander; Prenninger, Wolfgang; Wagner, Stefan; Kühnel, Christian; Baumgartner, Martin; Sostawa, Bernd; Zölch, Rüdiger; Stauner, Thomas (2005)