6 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
Astronomical Images Quality Assessment with Automated Machine Learning
Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger
Electronically Assisted Astronomy consists in capturing deep sky images with a digital camera coupled to a telescope to display views of celestial objects that would have been invi…
Forecasting Intraday Power Output by a Set of PV Systems using Recurrent Neural Networks and Physical Covariates
Pierrick Bruneau, David Fiorelli, Christian Braun +1
Accurate intraday forecasts of the power output by PhotoVoltaic (PV) systems are critical to improve the operation of energy distribution grids. We describe a neural autoregressive…
Landscape of High-performance Python to Develop Data Science and Machine Learning Applications
Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet +1
Python has become the prime language for application development in the Data Science and Machine Learning domains. However, data scientists are not necessarily experienced programm…