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ORCIDSheeba Samuel
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- affiliation: Friedrich-Schiller University, Jena, Germany
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2020 – today
- 2024
[c18]Jihen Amara
, Sheeba Samuel, Birgitta König-Ries:
Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification. ESWC (1) 2024: 289-306- [i11]Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel:
From human experts to machines: An LLM supported approach to ontology and knowledge graph construction. CoRR abs/2403.08345 (2024) - [i10]Sheeba Samuel, Daniel Mietchen:
FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset. CoRR abs/2404.12935 (2024) - [i9]Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries, Jitendra Gaikwad, Luiz M. R. Gadelha Jr., Sheeba Samuel:
Evaluating the method reproducibility of deep learning models in the biodiversity domain. CoRR abs/2407.07550 (2024) - [i8]Jihen Amara, Birgitta König-Ries, Sheeba Samuel:
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context. CoRR abs/2409.18753 (2024) - 2023
- [c17]Dominik Kerzel, Birgitta König-Ries, Sheeba Samuel:
MLProvLab: Provenance Management for Data Science Notebooks. BTW 2023: 965-980 - [c16]Tarek Al Mustafa, Birgitta König-Ries, Sheeba Samuel:
MLProvCodeGen: A Tool for Provenance Data Input and Capture of Customizable Machine Learning Scripts. BTW 2023: 1059-1067 - [c15]Sheeba Samuel, Birgitta König-Ries, Alsayed Algergawy:
The role of ontology matching in ontology network development. OM@ISWC 2023: 13-24 - [c14]Jihen Amara, Birgitta König-Ries, Sheeba Samuel:
Concept Explainability for Plant Diseases Classification. VISIGRAPP (4: VISAPP) 2023: 246-253 - [i7]Sheeba Samuel, Daniel Mietchen:
Computational reproducibility of Jupyter notebooks from biomedical publications. CoRR abs/2308.07333 (2023) - [i6]Jihen Amara, Birgitta König-Ries, Sheeba Samuel:
Concept explainability for plant diseases classification. CoRR abs/2309.08739 (2023) - [i5]Samira Babalou, Sheeba Samuel, Birgitta König-Ries:
Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review. CoRR abs/2309.08754 (2023) - 2022
- [j3]Sheeba Samuel, Birgitta König-Ries:
End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach. J. Biomed. Semant. 13(1): 1 (2022) - [j2]Sheeba Samuel, Birgitta König-Ries:
A collaborative semantic-based provenance management platform for reproducibility. PeerJ Comput. Sci. 8: e921 (2022) - [c13]Luiz M. R. Gadelha Jr., Martin Hohmuth, Mahnoor Zulfiqar, David Schöne, Sheeba Samuel, Maria Sorokina, Christoph Steinbeck, Birgitta König-Ries:
Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities. e-Science 2022: 443-449 - [d4]Nora Abdelmageed, Felicitas Löffler, Leila Feddoul, Alsayed Algergawy, Sheeba Samuel, Jitendra Gaikwad, Anahita Kazem, Birgitta König-Ries:
BiodivNERE: Gold Standard Corpora for Named Entity Recognition and Relation Extraction in Biodiversity Domain. Zenodo, 2022
- [d3]Nora Abdelmageed, Felicitas Löffler, Leila Feddoul, Alsayed Algergawy, Sheeba Samuel, Jitendra Gaikwad, Anahita Kazem, Birgitta König-Ries:
BiodivNERE: Gold Standard Corpora for Named Entity Recognition and Relation Extraction in Biodiversity Domain. Zenodo, 2022 - [i4]Luiz M. R. Gadelha Jr., Martin Hohmuth, Mahnoor Zulfiqar, David Schöne, Sheeba Samuel, Maria Sorokina, Christoph Steinbeck, Birgitta König-Ries:
Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities. CoRR abs/2207.06890 (2022) - [i3]Sheeba Samuel, Daniel Mietchen:
Computational reproducibility of Jupyter notebooks from biomedical publications. CoRR abs/2209.04308 (2022) - 2021
- [c12]Maria Luiza Mondelli, Sheeba Samuel, Birgitta König-Ries, Luiz M. R. Gadelha Jr.:
Capturing and Semantically Describing Provenance to Tell the Story of R Scripts. e-Science 2021: 283-288 - [c11]Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta König-Ries:
BiodivOnto: Towards a Core Ontology for Biodiversity. ESWC (Satellite Events) 2021: 3-8 - [c10]Dominik Kerzel, Sheeba Samuel, Birgitta König-Ries:
Towards Tracking Provenance from Machine Learning Notebooks. KDIR 2021: 274-281 - [c9]Sheeba Samuel, Birgitta König-Ries:
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks. IPAW 2021: 201-206 - [c8]Sheeba Samuel, Frank Löffler, Birgitta König-Ries:
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles. IPAW 2021: 226-230 - [c7]Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta König-Ries:
A Data-driven Approach for Core Biodiversity Ontology Development. JOWO 2021 - [c6]Sheeba Samuel, Alsayed Algergawy, Birgitta König-Ries:
Towards an Ontology Network for the Reproducibility of Scientific Studies. JOWO 2021 - [d2]Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta König-Ries:
fusion-jena/BiodivOnto: P&D_ESWC2021. Zenodo, 2021 - 2020
- [d1]Sheeba Samuel, Birgitta König-Ries:
fusion-jena/ReproducibilitySurvey: ReproducibilitySurvey 0.1. Zenodo, 2020 - [i2]Sheeba Samuel, Birgitta König-Ries:
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks. CoRR abs/2006.12110 (2020) - [i1]Sheeba Samuel, Frank Löffler, Birgitta König-Ries:
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles. CoRR abs/2006.12117 (2020)
2010 – 2019
- 2019
- [b1]Sheeba Samuel:
A provenance-based semantic approach to support understandability, reproducibility, and reuse of scientific experiments. University of Jena, Germany, 2019 - 2018
- [c5]Sheeba Samuel, Birgitta König-Ries:
Combining P-Plan and the REPRODUCE-ME Ontology to Achieve Semantic Enrichment of Scientific Experiments Using Interactive Notebooks. ESWC (Satellite Events) 2018: 126-130 - [c4]Sheeba Samuel, Birgitta König-Ries:
ProvBook: Provenance-based Semantic Enrichment of Interactive Notebooks for Reproducibility. ISWC (P&D/Industry/BlueSky) 2018 - [c3]Sheeba Samuel, Kathrin Groeneveld, Frank Taubert, Daniel Walther, Tom Kache, Teresa Langenstück, Birgitta König-Ries, H. Martin Bücker, Christoph Biskup:
The Story of an experiment: a provenance-based semantic approach towards research reproducibility. SWAT4LS 2018 - 2017
- [j1]Sheeba Samuel, Frank Taubert, Daniel Walther, Birgitta König-Ries, H. Martin Bücker:
Towards Reproducibility of Microscopy Experiments. D Lib Mag. 23(1/2) (2017) - [c2]Sheeba Samuel, Birgitta König-Ries:
REPRODUCE-ME: Ontology-Based Data Access for Reproducibility of Microscopy Experiments. ESWC (Satellite Events) 2017: 17-20 - [c1]Sheeba Samuel:
Integrative Data Management for Reproducibility of Microscopy Experiments. ESWC (2) 2017: 246-255
Coauthor Index
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last updated on 2024-10-21 20:31 CEST by the dblp team
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