Sheeba Samuel

48 papers B 4C 1Misc 2Journal 20Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to be Reproducible: Custom Loss Design for Robust Neural Networks.
CoRR
Waqas Ahmed, Sheeba Samuel, Kevin L. Coakley, Birgitta König-Ries, Odd Erik Gundersen
2025 C conf
Analyzing the reproducibility of research-related Jupyter notebooks at scale.
Software Engineering
Daniel Mietchen, Sheeba Samuel
2025 J jnl
Evaluating the method reproducibility of deep learning models in biodiversity research.
PeerJ Comput. Sci.
Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries, Jitendra Gaikwad, Luiz M. R. Gadelha Jr., Sheeba Samuel
2025 — conf
Facilitating RDF Querying in Research Data Management through ShEx-Based SPARQL Query Construction.
ESWC-JP
Christoph Göpfert, Sheeba Samuel, Martin Gaedke
2025 J jnl
Multi-LLM information retrieval pipeline for extracting deep learning methodologies in biodiversity research.
PeerJ Comput. Sci.
Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
2025 B conf
ResearchFlow: An End-User Development Approach to Research Data Management Workflow Composition.
ICWE
Jan-Ingo Haas, Martin Gaedke, Sheeba Samuel, Jeffrey Kelling
2025 B conf
ShEx2SPARQL: Translating Shape Expressions into SPARQL Queries.
ICWE
Christoph Göpfert, Sheeba Samuel, Martin Gaedke
2025 — conf
Vorwort.
BTW Workshops
Marina Tropmann-Frick, Tanja Auge, Sheeba Samuel
2024 — conf
A Method for Integrating Heterogeneous Data into a Knowledge Graph.
iiWAS (1)
Christoph Göpfert, Sheeba Samuel, Martin Gaedke
2024 J jnl
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context.
CoRR
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
2024 J jnl
Evaluating the method reproducibility of deep learning models in the biodiversity domain.
CoRR
Waqas Ahmed, Vamsi Krishna Kommineni, Birgitta König-Ries, Jitendra Gaikwad, Luiz M. R. Gadelha Jr., Sheeba Samuel
2024 J jnl
Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification.
CoRR
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
2024 J jnl
FAIR Jupyter: A Knowledge Graph Approach to Semantic Sharing and Granular Exploration of a Computational Notebook Reproducibility Dataset.
TGDK
Sheeba Samuel, Daniel Mietchen
2024 J jnl
FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset.
CoRR
Sheeba Samuel, Daniel Mietchen
2024 — conf
Facilitating End-User Development of Websites with Micro-Frontends.
iiWAS (2)
Jan-Ingo Haas, Sheeba Samuel, Martin Gaedke
2024 J jnl
From human experts to machines: An LLM supported approach to ontology and knowledge graph construction.
CoRR
Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
2024 J jnl
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications.
CoRR
Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
2024 — conf
Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification.
ESWC (1)
Jihen Amara, Sheeba Samuel, Birgitta König-Ries
2024 — conf
Reducing Run-to-Run Variability in Neural Networks: A Comparative Study of Weight Optimization Methods.
RRPR
Waqas Ahmed, Birgitta König-Ries, Sheeba Samuel
2024 — conf
Towards the Automation of Knowledge Graph Construction using Large Language Models.
NLP4KGC@SEMANTiCS
Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
2023 J jnl
Computational reproducibility of Jupyter notebooks from biomedical publications.
CoRR
Sheeba Samuel, Daniel Mietchen
2023 — conf
Concept Explainability for Plant Diseases Classification.
VISIGRAPP (4: VISAPP)
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
2023 J jnl
Concept explainability for plant diseases classification.
CoRR
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
2023 Misc conf
MLProvCodeGen: A Tool for Provenance Data Input and Capture of Customizable Machine Learning Scripts.
BTW
Tarek Al Mustafa, Birgitta König-Ries, Sheeba Samuel
2023 Misc conf
MLProvLab: Provenance Management for Data Science Notebooks.
BTW
Dominik Kerzel, Birgitta König-Ries, Sheeba Samuel
2023 J jnl
Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review.
CoRR
Samira Babalou, Sheeba Samuel, Birgitta König-Ries
2023 — conf
The role of ontology matching in ontology network development.
OM@ISWC
Sheeba Samuel, Birgitta König-Ries, Alsayed Algergawy
2022 J jnl
A collaborative semantic-based provenance management platform for reproducibility.
PeerJ Comput. Sci.
Sheeba Samuel, Birgitta König-Ries
2022 J jnl
Computational reproducibility of Jupyter notebooks from biomedical publications.
CoRR
Sheeba Samuel, Daniel Mietchen
2022 J jnl
End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.
J. Biomed. Semant.
Sheeba Samuel, Birgitta König-Ries
2022 B conf
Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities.
e-Science
Luiz M. R. Gadelha Jr., Martin Hohmuth, Mahnoor Zulfiqar, David Schöne, Sheeba Samuel, Maria Sorokina, Christoph Steinbeck, Birgitta König-Ries
2022 J jnl
Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities.
CoRR
Luiz M. R. Gadelha Jr., Martin Hohmuth, Mahnoor Zulfiqar, David Schöne, Sheeba Samuel, Maria Sorokina, Christoph Steinbeck, Birgitta König-Ries
2021 — conf
A Data-driven Approach for Core Biodiversity Ontology Development.
JOWO
Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta König-Ries
2021 — conf
BiodivOnto: Towards a Core Ontology for Biodiversity.
ESWC (Satellite Events)
Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta König-Ries
2021 B conf
Capturing and Semantically Describing Provenance to Tell the Story of R Scripts.
e-Science
Maria Luiza Mondelli, Sheeba Samuel, Birgitta König-Ries, Luiz M. R. Gadelha Jr.
2021 — conf
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles.
IPAW
Sheeba Samuel, Frank Löffler, Birgitta König-Ries
2021 — conf
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks.
IPAW
Sheeba Samuel, Birgitta König-Ries
2021 — conf
Towards Tracking Provenance from Machine Learning Notebooks.
KDIR
Dominik Kerzel, Sheeba Samuel, Birgitta König-Ries
2021 — conf
Towards an Ontology Network for the Reproducibility of Scientific Studies.
JOWO
Sheeba Samuel, Alsayed Algergawy, Birgitta König-Ries
2020 J jnl
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles.
CoRR
Sheeba Samuel, Frank Löffler, Birgitta König-Ries
2020 J jnl
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks.
CoRR
Sheeba Samuel, Birgitta König-Ries
2019 — —
A provenance-based semantic approach to support understandability, reproducibility, and reuse of scientific experiments.
Sheeba Samuel
2018 — conf
Combining P-Plan and the REPRODUCE-ME Ontology to Achieve Semantic Enrichment of Scientific Experiments Using Interactive Notebooks.
ESWC (Satellite Events)
Sheeba Samuel, Birgitta König-Ries
2018 — conf
ProvBook: Provenance-based Semantic Enrichment of Interactive Notebooks for Reproducibility.
ISWC (P&D/Industry/BlueSky)
Sheeba Samuel, Birgitta König-Ries
2018 — conf
The Story of an experiment: a provenance-based semantic approach towards research reproducibility.
SWAT4LS
Sheeba Samuel, Kathrin Groeneveld, Frank Taubert, Daniel Walther, Tom Kache, Teresa Langenstück, Birgitta König-Ries, H. Martin Bücker, Christoph Biskup
2017 — conf
Integrative Data Management for Reproducibility of Microscopy Experiments.
ESWC (2)
Sheeba Samuel
2017 — conf
REPRODUCE-ME: Ontology-Based Data Access for Reproducibility of Microscopy Experiments.
ESWC (Satellite Events)
Sheeba Samuel, Birgitta König-Ries
2017 J jnl
Towards Reproducibility of Microscopy Experiments.
D Lib Mag.
Sheeba Samuel, Frank Taubert, Daniel Walther, Birgitta König-Ries, H. Martin Bücker