Concept
Scikit-learn
Publications associées (27)
Model agnostic methods meta-learn despite misspecifications
Nicolas Henri Bernard Flammarion, Oguz Kaan Yüksel, Etienne Patrice Boursier
Due to its empirical success on few shot classification and reinforcement learning, meta-learning recently received a lot of interest. Meta-learning leverages data from previous tasks to quickly learn a new task, despite limited data. In particular, model ...
2023Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study
The researchers used a machine-learning classification approach to better understand neurological features associated with periods of wayfinding uncertainty. The participants (n = 30) were asked to complete wayfinding tasks of varying difficulty in a virtu ...
ELSEVIER SCI LTD2022Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders
Meritxell Bach Cuadra, Erick Jorge Canales Rodriguez, Gabriel Girard, Thomas Yu, Hamza Kebiri
Diffusion MRI (dMRI) of the developing brain can provide valuable insights into the white matter development. However, slice thickness in fetal dMRI is typically high (i.e., 3-5 mm) to freeze the in-plane motion, which reduces the sensitivity of the dMRI s ...
SPRINGER INTERNATIONAL PUBLISHING AG2022