11 citations · 11 across the 3 of their papers we have counts for
4 papers
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…
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…
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…