Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Balestra, Chiara"'
Confronted with the challenge of identifying the most suitable metric to validate the merits of newly proposed models, the decision-making process is anything but straightforward. Given that comparing rankings introduces its own set of formidable cha
Externí odkaz:
http://arxiv.org/abs/2408.16009
Interpretable machine learning and explainable artificial intelligence have become essential in many applications. The trade-off between interpretability and model performance is the traitor to developing intrinsic and model-agnostic interpretation m
Externí odkaz:
http://arxiv.org/abs/2309.01457
The biological roles of gene sets are used to group them into collections. These collections are often characterized by being high-dimensional, overlapping, and redundant families of sets, thus precluding a straightforward interpretation and study of
Externí odkaz:
http://arxiv.org/abs/2307.16182
Gene set collections are a common ground to study the enrichment of genes for specific phenotypic traits. Gene set enrichment analysis aims to identify genes that are over-represented in gene sets collections and might be associated with a specific p
Externí odkaz:
http://arxiv.org/abs/2207.12184
Not all real-world data are labeled, and when labels are not available, it is often costly to obtain them. Moreover, as many algorithms suffer from the curse of dimensionality, reducing the features in the data to a smaller set is often of great util
Externí odkaz:
http://arxiv.org/abs/2205.09060
The stable operation of the electric power grid relies on a precisely synchronized state of all generators and machines. All machines rotate at exactly the same frequency with fixed phase differences, leading to steady power flows throughout the grid
Externí odkaz:
http://arxiv.org/abs/1908.10054
Autor:
Balestra, Chiara1,2 (AUTHOR) chiara.balestra@cs.uni-dortmund.de, Maj, Carlo3,4 (AUTHOR), Müller, Emmanuel1 (AUTHOR), Mayr, Andreas2 (AUTHOR)
Publikováno v:
PLoS ONE. 3/9/2023, Vol. 17 Issue 3, p1-17. 17p.