Sheeba Samuel

Orcid: 0000-0002-7981-8504

Affiliations:
  • Friedrich-Schiller University, Jena, Germany


According to our database1, Sheeba Samuel authored at least 32 papers between 2017 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context.
CoRR, 2024

Evaluating the method reproducibility of deep learning models in the biodiversity domain.
CoRR, 2024

FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset.
CoRR, 2024

From human experts to machines: An LLM supported approach to ontology and knowledge graph construction.
CoRR, 2024

Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification.
Proceedings of the Semantic Web - 21st International Conference, 2024

2023
Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review.
CoRR, 2023

Concept Explainability for Plant Diseases Classification.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

The role of ontology matching in ontology network development.
Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), 2023

MLProvCodeGen: A Tool for Provenance Data Input and Capture of Customizable Machine Learning Scripts.
Proceedings of the Datenbanksysteme für Business, 2023

MLProvLab: Provenance Management for Data Science Notebooks.
Proceedings of the Datenbanksysteme für Business, 2023

2022
BiodivNERE: Gold Standard Corpora for Named Entity Recognition and Relation Extraction in Biodiversity Domain.
Dataset, April, 2022

BiodivNERE: Gold Standard Corpora for Named Entity Recognition and Relation Extraction in Biodiversity Domain.
Dataset, April, 2022

A collaborative semantic-based provenance management platform for reproducibility.
PeerJ Comput. Sci., 2022

Computational reproducibility of Jupyter notebooks from biomedical publications.
CoRR, 2022

End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.
J. Biomed. Semant., 2022

Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
fusion-jena/BiodivOnto: P&D_ESWC2021.
Dataset, May, 2021

Towards an Ontology Network for the Reproducibility of Scientific Studies.
Proceedings of the Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge co-located with the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), 2021

A Data-driven Approach for Core Biodiversity Ontology Development.
Proceedings of the Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge co-located with the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), 2021

Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles.
Proceedings of the Provenance and Annotation of Data and Processes, 2021

ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks.
Proceedings of the Provenance and Annotation of Data and Processes, 2021

Towards Tracking Provenance from Machine Learning Notebooks.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

BiodivOnto: Towards a Core Ontology for Biodiversity.
Proceedings of the Semantic Web: ESWC 2021 Satellite Events, 2021

Capturing and Semantically Describing Provenance to Tell the Story of R Scripts.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
fusion-jena/ReproducibilitySurvey: ReproducibilitySurvey 0.1.
Dataset, May, 2020

2019
A provenance-based semantic approach to support understandability, reproducibility, and reuse of scientific experiments.
PhD thesis, 2019

2018
The Story of an experiment: a provenance-based semantic approach towards research reproducibility.
Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences, 2018

ProvBook: Provenance-based Semantic Enrichment of Interactive Notebooks for Reproducibility.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Combining P-Plan and the REPRODUCE-ME Ontology to Achieve Semantic Enrichment of Scientific Experiments Using Interactive Notebooks.
Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

2017
Towards Reproducibility of Microscopy Experiments.
D Lib Mag., 2017

REPRODUCE-ME: Ontology-Based Data Access for Reproducibility of Microscopy Experiments.
Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

Integrative Data Management for Reproducibility of Microscopy Experiments.
Proceedings of the Semantic Web - 14th International Conference, 2017


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