e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community
Figure 1: Illustration of an e-SparX artifact exchange scenario among two machine learning projects.The artifacts involved are datasets, code, models, and results.We can see that the right pipeline is shorter as it can reuse artifacts from the left one.The model results from both pipelines can be compared transparently.Figure created with [29], icons taken from [17].
Authors
- Christoph Goebel (ORCID: https://orcid.org/0000-0002-5756-6983)
- Michael Eichelbeck (ORCID: https://orcid.org/0000-0002-1522-8767)
- Annika Schneider (ORCID: https://orcid.org/0009-0008-5068-0012)
- Jan Marco Ruiz de Vargas
- Lukas Schüttler (ORCID: https://orcid.org/0009-0002-7539-6321)
Institutions
- Technical University of Munich (DE)
Publication Details
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1145/3679240.3734617
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00