Samuel, Sheeba

1. Computational reproducibility of Jupyter notebooks from biomedical publications
   2022/09/09 by Samuel, Sheeba, Mietchen, Daniel · 6 citations
   #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE)
2. From human experts to machines: An LLM supported approach to ontology and knowledge graph construction
   2024/03/13 by Vamsi Krishna Kommineni, Birgitta König‐Ries, Kommineni, Vamsi Krishna +3 · 8 citations
   Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Semantic Web and Ontologies
3. ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of\n Jupyter Notebooks
   2020/06/22 by Sheeba Samuel, Samuel, Sheeba, Birgitta König‐Ries +1 · 1 citation
   Computer Science · Decision Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Research Data Management Practices #Scientific Computing and Data Management #Software Engineering Research
4. Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles
   2020/06/22 by Samuel, Sheeba, Löffler, Frank, König-Ries, Birgitta · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications
   2024/11/14 by Vamsi Krishna Kommineni, Kommineni, Vamsi Krishna, Birgitta König‐Ries +3 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #H.3.3 #I.2.7 #Information Retrieval (cs.IR) #Semantic Web and Ontologies
6. Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification
   2024/12/10 by Jihen Amara, Birgitta König‐Ries, Amara, Jihen +3 · 1 citation
   Agricultural and Biological Sciences · #Smart Agriculture and AI