Automated Author ProfileWeller, Tobias
AIFB (KIT)
Weller, Tobias
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 12.9 (sum of 7 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is the FAIRnets dataset. It contains Information about publicly available Neural Networks in RDF*. A Search API to query the dataset can be found under https://km.aifb.kit.edu/services/fairnets/
Authors
- Nguyen, Anna ;
- Weller, Tobias ;
- Sure-Vetter, York
We present the FAIRnets Knowledge Graph, a large RDF data set with information about neural networks. The data set is based on neural networks published on GitHub using Keras as framework. Furthermore, the data set is implemented in FAIRnets Search (https://km.aifb.kit.edu/services/fairnets/), an online search system by which users can explore and analyze neural networks. More information can be found at https://km.aifb.kit.edu/services/fairnets/ and in the paper Making Neural Networks FAIR (https://arxiv.org/abs/1907.11569). If you use the data set, please cite it as follows (see also in DBLP): Nguyen, Anna, Tobias Weller, Michael Färber and York Sure-Vetter. “Making Neural Networks FAIR.” Knowledge Graphs and Semantic Web Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Mérida, Mexico, November 26-27, 2020, Proceedings
Authors
- Nguyen, Anna ;
- Weller, Tobias ;
- Färber, Michael ;
- Sure-Vetter, York
This is the FAIRnets dataset. It contains Information about publicly available Neural Networks in RDF*. A Search API to query the dataset can be found under https://km.aifb.kit.edu/services/fairnets/
Authors
- Nguyen, Anna ;
- Weller, Tobias ;
- Sure-Vetter, York
This is the FAIRnets dataset. It contains Information about publicly available Neural Networks in RDF*. A Search API to query the dataset can be found under https://km.aifb.kit.edu/services/fairnets/
Authors
- Nguyen, Anna ;
- Weller, Tobias ;
- Sure-Vetter, York
This is the FAIRnets dataset. It contains Information about publicly available Neural Networks in RDF*. A Search API to query the dataset can be found under https://km.aifb.kit.edu/services/fairnets/
Authors
- Nguyen, Anna ;
- Weller, Tobias ;
- Sure-Vetter, York
This is the FAIRnets dataset. It contains Information about publicly available Neural Networks in RDF*. A Search API to query the dataset can be found under https://km.aifb.kit.edu/services/fairnets/
Authors
- Nguyen, Anna ;
- Weller, Tobias ;
- Sure-Vetter, York
We present the FAIRnets Knowledge Graph, a large RDF data set with information about neural networks. The data set is based on neural networks published on GitHub using Keras as framework. Furthermore, the data set is implemented in FAIRnets Search (https://km.aifb.kit.edu/services/fairnets/), an online search system by which users can explore and analyze neural networks. More information can be found at https://km.aifb.kit.edu/services/fairnets/ and in the paper Making Neural Networks FAIR (https://arxiv.org/abs/1907.11569). If you use the data set, please cite it as follows (see also in DBLP): Nguyen, Anna, Tobias Weller, Michael Färber and York Sure-Vetter. “Making Neural Networks FAIR.” Knowledge Graphs and Semantic Web Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Mérida, Mexico, November 26-27, 2020, Proceedings
Authors
- Nguyen, Anna ;
- Weller, Tobias ;
- Färber, Michael ;
- Sure-Vetter, York