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Sheeba Samuel
Sheeba Samuel
TU Chemnitz, Germany
在 informatik.tu-chemnitz.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles
S Samuel, F Löffler, B König-Ries
Provenance and Annotation of Data and Processes, 226-230, 2020
462020
ProvBook: Provenance-based Semantic Enrichment of Interactive Notebooks for Reproducibility
S Samuel, B König-Ries
The 17th International Semantic Web Conference (ISWC) 2018 Demo Track, 2018
462018
Understanding experiments and research practices for reproducibility: an exploratory study
S Samuel, B König-Ries
PeerJ, e11140, 2021
352021
From human experts to machines: An LLM supported approach to ontology and knowledge graph construction
VK Kommineni, B König-Ries, S Samuel
arXiv preprint arXiv:2403.08345, 2024
20*2024
Computational reproducibility of Jupyter notebooks from biomedical publications
S Samuel, D Mietchen
GigaScience 13, giad113, 2024
202024
End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach
S Samuel, B König-Ries
Journal of biomedical semantics 13 (1), 1, 2022
172022
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks
S Samuel, B König-Ries
ProvenanceWeek 2020, 2020
142020
REPRODUCE-ME: Ontology-based Data Access for Reproducibility of Microscopy Experiments
S Samuel, B König-Ries
14th Extended Semantic Web Conference (ESWC) 2017, 2017
132017
Towards reproducibility of microscopy experiments
S Samuel, F Taubert, D Walther, B König-Ries, HM Bücker
Methods 9, 245-253, 2017
13*2017
A provenance-based semantic approach to support understandability, reproducibility, and reuse of scientific experiments
S Samuel
112019
Integrative Data Management for Reproducibility of Microscopy Experiments
S Samuel
14th Extended Semantic Web Conference (ESWC) 2017, 2017
112017
BiodivNERE: Gold standard corpora for named entity recognition and relation extraction in the biodiversity domain
N Abdelmageed, F Löffler, L Feddoul, A Algergawy, S Samuel, J Gaikwad, ...
Biodiversity Data Journal 10, 2022
102022
A collaborative semantic-based provenance management platform for reproducibility
S Samuel, B König-Ries
PeerJ Computer Science 8, e921, 2022
92022
Combining P-Plan and the REPRODUCE-ME Ontology to Achieve Semantic Enrichment of Scientific Experiments using Interactive Notebooks
S Samuel, B König-Ries
15th Extended Semantic Web Conference (ESWC) 2018, 2018
92018
BiodivOnto: towards a core ontology for biodiversity
N Abdelmageed, A Algergawy, S Samuel, B König-Ries
European Semantic Web Conference, 3-8, 2021
72021
The Story of an Experiment: A Provenance-based Semantic Approach towards Research Reproducibility
S Samuel, K Groeneveld, F Taubert, D Walther, T Kache, T Langenstück, ...
11th International Conference on Semantic Web Applications and Tools for …, 2018
62018
How Reproducible are the Results Gained with the Help of Deep Learning Methods in Biodiversity Research?
W Ahmed, VK Kommineni, B Koenig-ries, S Samuel
Biodiversity Information Science and Standards 7, 2023
42023
MLProvLab: provenance management for data science notebooks
D Kerzel, B König-Ries, S Sheeba
Gesellschaft für Informatik eV, 2023
42023
A virtual “Werkstatt” for digitization in the sciences
S Samuel, M Shadaydeh, S Böcker, B Brügmann, SF Bucher, V Deckert, ...
Research Ideas and Outcomes 6, https://doi.org/10.3897/rio.6.e54106, 2020
42020
MLProvCodeGen: A Tool for Provenance Data Input and Capture of Customizable Machine Learning Scripts
TA Mustafa, B König-Ries, S Samuel
Gesellschaft für Informatik eV, 2023
32023
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