A5078615078- Management and Reproducibility of Scientific Workflows
- Natural Language Processing
- Statistical Machine Translation and Natural Language Processing
- Process Fault Detection and Diagnosis in Industries
- Data Sharing and Stewardship in Science
- Data Quality Assessment and Improvement
- Multi-label Text Classification in Machine Learning
- Diagnosis and Management of Cardiac Tumors
- Genomic Imprinting and Parental Gene Expression Control
- Mineral Metabolism in Chronic Kidney Disease
- Recommendations for Cardiac Chamber Quantification by Echocardiography
- Complications and Techniques in Thyroid Surgery
- Dialogue Act Modeling for Spoken Language Systems
- Deep Learning in Medical Image Analysis
- Semantic Web and Ontology Development
- Biomedical Ontologies and Text Mining
- Atrial Fibrillation
German Research Centre for Artificial Intelligence
2023-2024
Search engines these days can serve datasets as search results. Datasets get picked up by technologies based on structured descriptions their official web pages, informed metadata ontologies such the Dataset content type of schema.org. Despite this promotion dataset a first-class citizen results, vast proportion datasets, particularly research still need to be made discoverable and, therefore, largely remain unused. This is due sheer volume released every day and inability reflect dataset's...
In the past years, scientific research in Data Science and Artificial Intelligence has witnessed vast progress. The number of published papers digital objects (data, code, models) is growing exponentially. However, not all these artifacts are findable, accessible, interoperable reusable (FAIR), contributing to a rather low level reproducibility experimental findings reported scholarly publications (reproducibility crisis). this paper, we focus on Open best practices, i.e., set...