89 citations · 217 across the 5 of their papers we have counts for
5 papers
pH-RL: A personalization architecture to bring reinforcement learning to health practice
Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova +5
While reinforcement learning (RL) has proven to be the approach of choice for tackling many complex problems, it remains challenging to develop and deploy RL agents in real-life sc…
The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data
P. Wittenburg, H. Pergl Sustkova, A. Montesanti +57
There is a growing acknowledgement in the scientific community of the importance of making experimental data machine findable, accessible, interoperable, and reusable (FAIR). Recog…
Hints of Isocurvature Perturbations in the Cosmic Microwave Background?
Reijo Keskitalo, Hannu Kurki-Suonio, Vesa Muhonen +1
The improved data on the cosmic microwave background (CMB) anisotropy allow a better determination of the adiabaticity of the primordial perturbation. Interestingly, we find that r…
Correlated Primordial Perturbations in Light of CMB and LSS Data
Hannu Kurki-Suonio, Vesa Muhonen, Jussi Valiviita
We use cosmic microwave background (CMB) and large-scale structure data to constrain cosmological models where the primordial perturbations have both an adiabatic and a cold dark m…
Correlated adiabatic and isocurvature CMB fluctuations in the wake of the WMAP
Jussi Valiviita, Vesa Muhonen
In general correlated models, in addition to the usual adiabatic component with a spectral index n_ad1 there is another adiabatic component with a spectral index n_ad2 generated by…