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Classification of LV wall motion in cardiac MRI using kernel Dictionary Learning with a parametric approach., , , , , , и . EMBC, стр. 7292-7295. IEEE, (2015)Exploring neural directed interactions with transfer entropy based on an adaptive kernel density estimator., , , , и . EMBC, стр. 4342-4345. IEEE, (2013)Modeling of Entorhinal Cortex and Simulation of Epileptic Activity: Insights Into the Role of Inhibition-Related Parameters., , , , и . IEEE Trans. Information Technology in Biomedicine, 11 (4): 450-461 (2007)Discriminative dictionary learning for local LV wall motion classification in cardiac MRI., , , , , и . Expert Syst. Appl., (2019)Various Ways to Compute the Continuous-Discrete Extended Kalman Filter., , и . IEEE Trans. Automat. Contr., 57 (4): 1000-1004 (2012)Investigation of nonlinear granger causality in the context of epilepsy., , , , и . EUSIPCO, стр. 454-458. IEEE, (2017)Partial mutual information for simple model order determination in multivariate EEG signals and its application to transfer entropy., , , , и . ICASSP, стр. 673-676. IEEE, (2012)Contribution to Transfer Entropy Estimation via the k-Nearest-Neighbors Approach., , , и . Entropy, 17 (6): 4173-4201 (2015)Time-frequency characterization of interdependencies in nonstationary signals: application to epileptic EEG., , , , и . IEEE Trans. Biomed. Eng., 52 (7): 1218-1226 (2005)Detection of Fibrosis in LGE-Cardiac MRI using Kernel DL-based Clustering., , , , , , и . CinC, стр. 357-360. www.cinc.org, (2015)