RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features. [PDF]
PLoS OneZhao Y +9 more
europepmc +1 more source
Riemannian geometry boosts functional near-infrared spectroscopy-based brain-state classification accuracy. [PDF]
NeurophotonicsNäher T +5 more
europepmc +1 more source
Riemannian geometry for efficient analysis of protein dynamics data. [PDF]
Proc Natl Acad Sci U S ADiepeveen W +4 more
europepmc +1 more source
GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals. [PDF]
Patterns (N Y)Paillard J, Hipp JF, Engemann DA.
europepmc +1 more source
Coherence-based channel selection and Riemannian geometry features for magnetoencephalography decoding. [PDF]
Cogn NeurodynTang C, Gao T, Wang G, Chen B.
europepmc +1 more source
Combining detrended cross-correlation analysis with Riemannian geometry-based classification for improved brain-computer interface performance. [PDF]
Front NeurosciRacz FS +8 more
europepmc +1 more source
Local Riemannian geometry of model manifolds and its implications for practical parameter identifiability. [PDF]
PLoS One, 2019 Lill D, Timmer J, Kaschek D.
europepmc +1 more source
Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry. [PDF]
Comput Intell Neurosci, 2019 Guan S, Zhao K, Yang S.
europepmc +1 more source
Local conformal symmetry in non-Riemannian geometry and the origin of physical scales. [PDF]
Eur Phys J C Part Fields, 2017 de Cesare M, Moffat JW, Sakellariadou M.
europepmc +1 more source
GENERALIZED RIEMANNIAN GEOMETRY, II [PDF]
Proceedings of the National Academy of Sciences, 1963 openaire +3 more sources