Results 241 to 250 of about 31,104 (274)

Dynamic evolution of intracortical and corticomuscular connectivity during reach-and-grasp movement planning and execution. [PDF]

Sci Rep
Sanchez-Bautista JA, Antelis JM, Mendoza-Montoya O.   +2 more
europepmc   +1 more source

Reducibility of higher-order networks from dynamics. [PDF]

Nat Commun
Lucas M, Gallo L, Ghavasieh A, Battiston F, De Domenico M.   +4 more
europepmc   +1 more source

p-Laplacian in phenomenological modeling of flow in porous media and CFD simulations

Electronic Journal of Differential Equations
Petr Girg, Lukas Kotrla, Anezka Svandova
doaj  

TMBclaw: tumor clone-aware graph learning improves immunotherapy response prediction across heterogeneous cohorts. [PDF]

Brief Bioinform
Wang Y, Zhu T, Song X, Chen P, Zhu X, Chang Z, Wang X, Lai X, Wang J.   +8 more
europepmc   +1 more source

Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis. [PDF]

Med Phys
Moslemi A, Safakish A, Sannachi L, Alberico D, Czarnota GJ.   +4 more
europepmc   +1 more source

Local-global functional gradients of the thalamus capturing different aspects of thalamic structure and function. [PDF]

Imaging Neurosci (Camb)
Xie H, Illapani VSP, Gaillard WD, Sepeta LN, Hong SJ.   +4 more
europepmc   +1 more source

Clinical characteristics and long-term treatment outcomes of patients with new-onset epileptic seizures associated with COVID-19 infection. [PDF]

Front Neurol
Li F, Ye L, Yang Y, Ming W, Wang S, Wang Z.   +5 more
europepmc   +1 more source

Predicting protein-nucleic acid flexibility using persistent sheaf Laplacians.

Phys Chem Chem Phys
Hayes N, Merkurjev E, Wei GW.
europepmc   +1 more source

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Mixed eigenvalues of p-Laplacian

Frontiers of Mathematics in China, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Mu-Fa, Wang, Lingdi, Zhang, Yuhui
openaire   +2 more sources

$p$ -Laplacian Regularization for Scene Recognition

IEEE Transactions on Cybernetics, 2019
The explosive growth of multimedia data on the Internet makes it essential to develop innovative machine learning algorithms for practical applications especially where only a small number of labeled samples are available. Manifold regularized semi-supervised learning (MRSSL) thus received intensive attention recently because it successfully exploits ...
Weifeng Liu, Yicong Zhou, Dapeng Tao
exaly   +3 more sources