14 citations · 39 across the 9 of their papers we have counts for
9 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 ΛCDM Universe. Therefore, we can describe the merger…
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…
: New insights from deep spectroscopic observations of the tidal tails of the globular clusters NGC 1261 and NGC 1904
Petra Awad, Ting S. Li, Denis Erkal +22
As globular clusters (GCs) orbit the Milky Way, their stars are tidally stripped forming tidal tails that follow the orbit of the clusters around the Galaxy. The morphology of thes…
The large-scale structure around the Fornax-Eridanus Complex
Maria Angela Raj, Petra Awad, Reynier F. Peletier +7
Our objectives are to map the filamentary network around the Fornax-Eridanus Complex and probe the influence of the local environment on galaxy morphology. We employ the novel mach…
Swarming in stellar streams: Unveiling the structure of the Jhelum stream with ant colony-inspired computation
Petra Awad, Marco Canducci, Eduardo Balbinot +8
The halo of the Milky Way galaxy hosts multiple dynamically coherent substructures known as stellar streams that are remnants of tidally disrupted systems such as globular clusters…
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder +3
Advances in machine learning technologies have led to increasingly powerful models in particular in the context of big data. Yet, many application scenarios demand for robustly int…
Degree distribution and scaling in the Connecting Nearest Neighbors model
Boris Rudolf, Mária Markošová, Martin Čajági +1
We present a detailed analysis of the Connecting Nearest Neighbors (CNN) model by Vázquez. We show that the degree distribution follows a power law, but the scaling exponent can va…