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ORCIDLucas Plagwitz
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Journal Articles
- 2024
[j1]Lucas Plagwitz, Sangcheon Choi
, Xin Yu, Daniel Segelcke, Henriette Lambers, Esther Pogatzki-Zahn, Julian Varghese, Cornelius Faber, Bruno Pradier:
Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies. Biomed. Signal Process. Control. 93: 106136 (2024)
Conference and Workshop Papers
- 2024
- [c10]Lucas Plagwitz, Philipp Neuhaus, Kemal Yildirim, Noah Losch, Julian Varghese, Antonius Büscher:
Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical Texts. GMDS 2024: 228-234 - [c9]Lucas Bickmann, Lucas Plagwitz, Julian Varghese:
Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL Dataset. MIE 2024: 589-593 - [c8]Lucas Plagwitz, Lucas Bickmann, Antonius Büscher, Julian Varghese:
Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution. MIE 2024: 616-620 - 2023
- [c7]Lucas Plagwitz, Tobias Vogelsang, Florian Doldi, Lucas Bickmann, Michael Fujarski, Lars Eckardt, Julian Varghese:
The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models. MIE 2023: 33-37 - [c6]Alexander Brenner, Catharina Marie van Alen, Lucas Plagwitz, Julian Varghese:
Classification of Parkinson's Disease from Voice - Analysis of Data Selection Bias. MIE 2023: 127-128 - [c5]Lucas Bickmann, Lucas Plagwitz, Julian Varghese:
Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification. MIE 2023: 182-186 - [c4]Michael Fujarski, Christian Porschen, Lucas Plagwitz, Daniel Stroth, Catharina Marie van Alen, Mahan Sadjadi, Raphael Weiss, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese:
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation. MIE 2023: 237-241 - 2022
- [c3]Alexander Brenner, Lucas Plagwitz, Michael Fujarski, Tobias Warnecke, Julian Varghese:
Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders. MIE 2022: 104-108 - [c2]Lucas Plagwitz, Alexander Brenner, Michael Fujarski, Julian Varghese:
Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. MIE 2022: 109-113 - [c1]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:
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database. MIE 2022: 139-140
Informal and Other Publications
- 2024
- [i2]Lucas Plagwitz, Lucas Bickmann, Michael Fujarski, Alexander Brenner, Warnes Gobalakrishnan, Lars Eckardt, Antonius Büscher, Julian Varghese:
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering. CoRR abs/2407.15555 (2024) - 2020
- [i1]Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Jakob Steenweg, Julian Gebker, Kelvin Sarink, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn:
PHOTON - A Python API for Rapid Machine Learning Model Development. CoRR abs/2002.05426 (2020)
Coauthor Index
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last updated on 2024-12-08 01:25 CET by the dblp team
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