17 citations · 32 across the 4 of their papers we have counts for
3 papers · 1 filter
Determining AGN luminosity histories using present-day outflow properties: a neural-network based approach
Kastytis Zubovas, Jonas Bialopetravičius, Monika Kazlauskaitė
Large-scale outflows driven by active galactic nuclei (AGN) can have a profound influence on their host galaxies. The outflow properties themselves depend sensitively on the histor…
Study of star clusters in the M83 galaxy with a convolutional neural network
J. Bialopetravičius, D. Narbutis
We present a study of evolutionary and structural parameters of star cluster candidates in the spiral galaxy M83. For this we use a convolutional neural network trained on mock clu…
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification
J. Bialopetravičius, D. Narbutis
Context. Convolutional neural networks (CNNs) have been established as the go-to method for fast object detection and classification on natural images. This opens the door for astr…