18 citations · 29 across the 9 of their papers we have counts for
11 papers
The potential of artificial intelligence for achieving healthy and sustainable societies
B. Sirmacek, S. Gupta, F. Mallor +10
In this chapter we extend earlier work (Vinuesa et al., Nature Communications 11, 2020) on the potential of artificial intelligence (AI) to achieve the 17 Sustainable Development G…
Interpretable deep-learning models to help achieve the Sustainable Development Goals
Ricardo Vinuesa, Beril Sirmacek
We discuss our insights into interpretable artificial-intelligence (AI) models, and how they are essential in the context of developing ethical AI systems, as well as data-driven s…
Environmental thresholds for mass-extinction events
Guy R. McPherson, Beril Sirmacek, Ricardo Vinuesa
While the global-average temperatures are rapidly rising, more researchers have been shifting their focus towards the past mass-extinction events in order to show the relations bet…
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound
Frieda van den Noort, Beril Sirmacek, Cornelis H. Slump
The prevalance of pelvic floor problems is high within the female population. Transperineal ultrasound (TPUS) is the main imaging modality used to investigate these problems. Autom…
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
Nicolò Botteghi, Mannes Poel, Beril Sirmacek +1
Deep Reinforcement Learning has shown its ability in solving complicated problems directly from high-dimensional observations. However, in end-to-end settings, Reinforcement Learni…
From coarse wall measurements to turbulent velocity fields through deep learning
Alejandro Güemes, Stefano Discetti, Andrea Ianiro +3
This work evaluates the applicability of super-resolution generative adversarial networks (SRGANs) as a methodology for the reconstruction of turbulent-flow quantities from coarse…