Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data PrinciplesMachine LearningReproducibilityProvenanceFAIRReproduceMe-MLMachine learning (ML) is an increasingly important scientific tool supporting decision making and knowledge generation in numerous fields. With this, it also becomes more and...
rdf ufo semantic-web ontology dataset ontouml fair conceptual-model fair-principles ontology-engineering foundational-ontologies unified-foundational-ontology Updated Oct 16, 2024 TeX r-geoflow / geoflow Star 41 Code Issues Pull requests Discussions Tools to Orchestrate Geospatial (Meta)Data Managem...
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles Machine learning (ML) is an increasingly important scientific tool supporting decision making and knowledge generation in numerous fields. With this, it al... S Samuel,F Lffler,B Knig-Ries - International Provenance & An...
Here, the intuitive idea is to use fair representation learning from machine learning to train a classifier with a sensitive attribute predictor from the user side to satisfy the fairness goal. However, such fair machine learning models assume entity independence, which differs greatly from CF ...
There have been many attempts to codify the discipline of data management over the years, but for scientific research data the FAIR principles[1]– findability, accessibility, interoperability, reusability – have become the most popular and well-known. ...
Here, the intuitive idea is to use fair representation learning from machine learning to train a classifier with a sensitive attribute predictor from the user side to satisfy the fairness goal. However, such fair machine learning models assume entity independence, which differs greatly from CF ...
Realizing the promises of MGI and FAIR, however, requires community agreement and implementation. General FAIR principles1are necessary but not sufficient to transform the field of materials, where varied interpretations and definitions of basic composition and property terms hold back effective implementati...
“Given that these countries tend to stress principles of equality,it is possible that children in these countries face social pressures to learn these principles earlier,” the researchers wrote.【1】What does paragraph 3 talk aboutA.The players of the game.B.The tools of the game.C.The ...
While the self-assessment tool offers valuable insights into students’ understanding of the FAIR principles, it should be complemented by external evaluations and feedback mechanisms to provide a more comprehensive assessment of their learning and progress. Future directions The tool has been used ...
Assessing the fairness of machine learning models To assess the fairness of machine learning models, we evaluated the metrics described above for each demographic group as well as the difference in the value of the metric between groups. Equality of TPR and TNR between demographic groups is known...