Tim Conrad
Orcid: 0000-0002-5590-5726Affiliations:
- Zuse Institute, Berlin, Germany
- Free University of Berlin, Germany
According to our database1,
Tim Conrad
authored at least 31 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification.
IEEE J. Biomed. Health Informatics, November, 2024
Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance.
CoRR, 2024
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models.
CoRR, 2024
CoRR, 2024
2023
Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification.
Mach. Learn. Knowl. Extr., December, 2023
Parallel Exchange of Randomized SubGraphs for Optimization of Network Alignment: PERSONA.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Neural parameter calibration and uncertainty quantification for epidemic forecasting.
CoRR, 2023
Enhancing ECG Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification.
CoRR, 2023
Proceedings of the Wikidata Workshop 2023 co-located with 22nd International Semantic Web Conference (ISWC 2023), 2023
Proceedings of the Computing in Cardiology, 2023
2022
Forget Embedding Layers: Representation Learning for Cold-start in Recommender Systems.
CoRR, 2022
CoRR, 2022
2021
A Convergent Discretization Method for Transition Path Theory for Diffusion Processes.
Multiscale Model. Simul., 2021
2020
Dictionary learning for transcriptomics data reveals type-specific gene modules in a multi-class setting.
it Inf. Technol., 2020
Appl. Netw. Sci., 2020
2019
SIAM J. Appl. Dyn. Syst., 2019
Convergent discretisation schemes for transition path theory for diffusion processes.
CoRR, 2019
Proceedings of the Machine Learning and Knowledge Extraction, 2019
2017
Practically efficient methods for performing bit-reversed permutation in C++11 on the x86-64 architecture.
CoRR, 2017
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.
BMC Bioinform., 2017
2016
Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
2015
Minimum-overlap Clusterings and the Sparsity of Overcomplete Decompositions of Binary Matrices.
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015
2013
Proceedings of the Experimental Algorithms, 12th International Symposium, 2013
2008
New statistical algorithms for the analysis of mass spectrometry time-of- flight mass data with applications in clinical diagnostics (Neue statistische Algorithmen zur Analyse von Massenspektrometrie Time-Of- Flight Massendaten mit Anwendungen in der klinischen Diagnostik)
PhD thesis, 2008
2006
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level.
Proceedings of the Computational Life Sciences II, 2006
2005
Proceedings of the Computational Proteomics, 20.-25. November 2005, 2005