55 citations · 92 across the 5 of their papers we have counts for
6 papers
How saccadic vision might help with theinterpretability of deep networks
Iana Sereda, Grigory Osipov
We describe how some problems (interpretability,lack of object-orientedness) of modern deep networks potentiallycould be solved by adapting a biologically plausible saccadicmechani…
Problems of representation of electrocardiograms in convolutional neural networks
Iana Sereda, Sergey Alekseev, Aleksandra Koneva +2
Using electrocardiograms as an example, we demonstrate the characteristic problems that arise when modeling one-dimensional signals containing inaccurate repeating pattern by means…
Deep Learning for ECG Segmentation
Viktor Moskalenko, Nikolai Zolotykh, Grigory Osipov
We propose an algorithm for electrocardiogram (ECG) segmentation using a UNet-like full-convolutional neural network. The algorithm receives an arbitrary sampling rate ECG signal a…
ECG Segmentation by Neural Networks: Errors and Correction
Iana Sereda, Sergey Alekseev, Aleksandra Koneva +2
In this study we examined the question of how error correction occurs in an ensemble of deep convolutional networks, trained for an important applied problem: segmentation of Elect…
Solitary synchronization waves in distributed oscillators populations
L. A. Smirnov, G. V. Osipov, A. Pikovsky
We demonstrate existence of solitary waves of synchrony in one-dimensional arrays of identical oscillators with Laplacian coupling. Coarse-grained description of the array leads to…
Coexisting synchronous and asynchronous states in locally coupled array of oscillators by partial self-feedback control
Bidesh K. Bera, Dibakar Ghosh, Punit Parmananda +2
We report the emergence of coexisting synchronous and asynchronous subpopulations of oscillators in one dimensional arrays of identical oscillators by applying a self-feedback cont…