4 papers
New classification method for the dynamical state of galaxy clusters with a Gaussian mixture model
Hyowon Kim, Marco Canducci, Rory Smith +5
Galaxy clusters are the largest gravitationally bound systems, and they continue their growth through mergers in a hierarchical ÎCDM Universe. Therefore, we can describe the merge…
Discriminative Subspace Emersion from learning feature relevances across different populations
Marco Canducci, Lida Abdi, Alessandro Prete +4
In a given classification task, the accuracy of the learner is often hampered by finiteness of the training set, high-dimensionality of the feature space and severe overlap between…
Structure is information: structural identifiability mappings for machine learning with partially observed dynamical systems
Janis Norden, Elisa Oostwal, Michael Chappell +2
The successful application of modern machine learning for time series classification is often hampered by limitations in quality and quantity of available training data. To overcom…
More than a void? The detection and characterization of cavities in a simulated galaxy's interstellar medium
Abolfazl Taghribi, Marco Canducci, Michele Mastropietro +4
The interstellar medium of galaxies is filled with holes, bubbles, and shells, typically interpreted as remnants of stellar evolution. There is growing interest in the study of the…