Michael Rueschman

Orcid: 0000-0002-0506-8368

According to our database1, Michael Rueschman authored at least 10 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2019
Benchmark on a large cohort for sleep-wake classification with machine learning techniques.
npj Digit. Medicine, 2019

ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata.
Int. J. Medical Informatics, 2019

Semantic Provenance Graph for Reproducibility of Biomedical Research Studies: Generating and Analyzing Graph Structures from Published Literature.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018
The National Sleep Research Resource: towards a sleep data commons.
J. Am. Medical Informatics Assoc., 2018

Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project.
Proceedings of the Provenance and Annotation of Data and Processes, 2018

2017
An Extensible Ontology Modeling Approach Using Post Coordinated Expressions for Semantic Provenance in Biomedical Research.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies.
Proceedings of the AMIA 2017, 2017

2016
An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description.
Proceedings of the AMIA 2016, 2016

2015
RREV: Reconfigurable Rendering Engine for visualization of clinically annotated polysomnograms.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015


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