38 citations · 38 across the 2 of their papers we have counts for
2 papers
astro-ph.GA2023
Identifying physical structures in our Galaxy with Gaussian Mixture Models: An unsupervised machine learning technique
M. Tiwari, R. Kievit, S. Kabanovic +14
We explore the potential of the Gaussian Mixture Model (GMM), an unsupervised machine learning method, to identify coherent physical structures in the ISM. The implementation we pr…
stat.AP2020★ 38 cited
Meta-Analysis of Generalized Additive Models in Neuroimaging Studies
Øystein Sørensen, Andreas M Brandmaier, Dídac Macià +7
Analyzing data from multiple neuroimaging studies has great potential in terms of increasing statistical power, enabling detection of effects of smaller magnitude than would be pos…