Alexander Brenner

According to our database, Alexander Brenner authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Classification of Parkinson's Disease from Voice - Analysis of Data Selection Bias.

Alexander Brenner, Catharina Marie van Alen, Lucas Plagwitz, Julian Varghese

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

2022

Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system.

Catharina Marie van Alen, Alexander Brenner, Tobias Warnecke, Julian Varghese

CoRR, 2022

Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy.

Alexander Brenner, Michael Fujarski, Tobias Warnecke, Julian Varghese

CoRR, 2022

Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model.

Lucas Plagwitz, Alexander Brenner, Michael Fujarski, Julian Varghese

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database.

Michael Fujarski, Christian Porschen, Lucas Plagwitz, Alexander Brenner, Narges Ghoreishi, Patrick Thoral, Harm-Jan de Grooth, Paul W. G. Elbers, Raphael Weiss, Melanie Meersch, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders.

Alexander Brenner, Lucas Plagwitz, Michael Fujarski, Tobias Warnecke, Julian Varghese

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection.

Felix Knispel, Alexander Brenner, Rainer Röhrig, Yvonne Weber, Julian Varghese, Ekaterina Kutafina

Proceedings of the German Medical Data Sciences 2022 - Future Medicine: More Precise, More Integrative, More Sustainable! - Proceedings of the Joint Conference of the 67th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 14th Annual Meeting of the TMF, 2022

2021

Tracking of Mental Workload with a Mobile EEG Sensor.

Ekaterina Kutafina, Anne Heiligers, Radomir Popovic, Alexander Brenner, Bernd Hankammer, Stephan M. Jonas, Klaus Mathiak, Jana Zweerings

Sensors, 2021

Towards Interpretable Machine Learning in EEG Analysis.

Maged Mortaga, Alexander Brenner, Ekaterina Kutafina

Proceedings of the German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF, 2021

2018

Automatic Recognition of Epileptiform EEG Abnormalities.

Alexander Brenner, Ekaterina Kutafina, Stephan M. Jonas

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018