55 citations · 85 across the 5 of their papers we have counts for
9 papers
A polynomial algorithm for minimizing discrete convic functions in fixed dimension
S. I. Veselov, D. V. Gribanov, N. Yu. Zolotykh +1
Recently classes of conic and discrete conic functions were introduced. In this paper we use the term convic instead conic. The class of convic functions properly includes the clas…
How to Find the Convex Hull of All Integer Points in a Polyhedron?
S. O. Semenov, N. Yu. Zolotykh
We propose a cut-based algorithm for finding all vertices and all facets of the convex hull of all integer points of a polyhedron defined by a system of linear inequalities. Our al…
Evolutionary algorithms for constructing an ensemble of decision trees
Evgeny Dolotov, Nikolai Zolotykh
Most decision tree induction algorithms are based on a greedy top-down recursive partitioning strategy for tree growth. In this paper, we propose several methods for induction of d…
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer
Sergey Sidorov, Nikolai Zolotykh
Stochastic separation theorems play important role in high-dimensional data analysis and machine learning. It turns out that in high dimension any point of a random set of points c…
Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder
V. V. Kuznetsov, V. A. Moskalenko, N. Yu. Zolotykh
We propose a method for generating an electrocardiogram (ECG) signal for one cardiac cycle using a variational autoencoder. Using this method we extracted a vector of new 25 featur…
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…