37 citations · 45 across the 2 of their papers we have counts for
4 papers
A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies
Carlo Donadio, Massimo Brescia, Alessia Riccardo +3
Several approaches were proposed to describe the geomorphology of drainage networks and the abiotic/biotic factors determining their morphology. There is an intrinsic complexity of…
Periodic Astrometric Signal Recovery through Convolutional Autoencoders
Michele Delli Veneri, Louis Desdoigts, Morgan A. Schmitz +8
Astrometric detection involves a precise measurement of stellar positions, and is widely regarded as the leading concept presently ready to find earth-mass planets in temperate orb…
Star Formation Rates for photometric samples of galaxies using machine learning methods
M. Delli Veneri, S. Cavuoti, M. Brescia +2
Star Formation Rates or SFRs are crucial to constrain theories of galaxy formation and evolution. SFRs are usually estimated via spectroscopic observations requiring large amounts…
Stellar formation rates in galaxies using Machine Learning models
Michele Delli Veneri, Stefano Cavuoti, Massimo Brescia +2
Global Stellar Formation Rates or SFRs are crucial to constrain theories of galaxy formation and evolution. SFR's are usually estimated via spectroscopic observations which require…