Nikolai Yu. Zolotykh

Orcid: 0000-0003-4542-9233

Affiliations:

National Research Lobachevsky State University of Nizhni Novgorod, Russia
National Research University Higher School of Economics, Nizhni Novgorod, Russia

According to our database¹, Nikolai Yu. Zolotykh authored at least 30 papers between 1998 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

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Bibliography

2023

Faster Integer Points Counting in Parametric Polyhedra.

[BibT_eX]

[DOI]

CoRR, 2023

2022

How to find the convex hull of all integer points in a polyhedron?

[BibT_eX]

[DOI]

Sergey O. Semenov

Nikolai Yu. Zolotykh

Optim. Lett., 2022

On lattice point counting in $\varDelta $-modular polyhedra.

[BibT_eX]

[DOI]

Dmitry V. Gribanov

Nikolai Yu. Zolotykh

Optim. Lett., 2022

On Boolean threshold functions with minimum specification number.

[BibT_eX]

[DOI]

Inf. Comput., 2022

Rosenblatt's First Theorem and Frugality of Deep Learning.

[BibT_eX]

[DOI]

Alexander Kirdin

Sergey V. Sidorov

Nikolai Yu. Zolotykh

Entropy, 2022

Rosenblatt's first theorem and frugality of deep learning.

[BibT_eX]

[DOI]

A. N. Kirdin

Sergey V. Sidorov

Nikolai Yu. Zolotykh

CoRR, 2022

2021

Accelerating Fourier-Motzkin elimination using bit pattern trees.

[BibT_eX]

[DOI]

Sergey I. Bastrakov

Andrey Churkin

Nikolai Yu. Zolotykh

Optim. Methods Softw., 2021

2020

Linear and Fisher Separability of Random Points in the d-Dimensional Spherical Layer and Inside the d-Dimensional Cube.

[BibT_eX]

[DOI]

Sergey V. Sidorov

Nikolai Yu. Zolotykh

Entropy, 2020

A polynomial algorithm for minimizing discrete convic functions in fixed dimension.

[BibT_eX]

[DOI]

Sergey I. Veselov

Dmitry V. Gribanov

Nikolai Yu. Zolotykh

Aleksandr Yu. Chirkov

Discret. Appl. Math., 2020

On lattice point counting in Δ-modular polyhedra.

[BibT_eX]

[DOI]

Dmitry V. Gribanov

Nikolai Yu. Zolotykh

CoRR, 2020

Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder.

[BibT_eX]

[DOI]

V. V. Kuznetsov

V. A. Moskalenko

Nikolai Yu. Zolotykh

CoRR, 2020

Deep Learning for ECG Segmentation.

[BibT_eX]

[DOI]

Viktor A. Moskalenko

Nikolai Yu. Zolotykh

Grigory V. Osipov

CoRR, 2020

LUDB: A New Open-Access Validation Tool for Electrocardiogram Delineation Algorithms.

[BibT_eX]

[DOI]

Alena I. Kalyakulina

Igor I. Yusipov

Viktor A. Moskalenko

Alexander V. Nikolskiy

Konstantin A. Kosonogov

Grigory V. Osipov

Nikolai Yu. Zolotykh

Mikhail V. Ivanchenko

IEEE Access, 2020

Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer.

[BibT_eX]

[DOI]

Sergey V. Sidorov

Nikolai Yu. Zolotykh

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

On the complexity of quasiconvex integer minimization problem.

[BibT_eX]

[DOI]

Aleksandr Yu. Chirkov

J. Glob. Optim., 2019

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2019

Two variations of graph test in double description method.

[BibT_eX]

[DOI]

Nikolai Yu. Zolotykh

Sergei I. Bastrakov

Comput. Appl. Math., 2019

Educational Course "Introduction to Deep Learning Using the Intel neon Framework".

[BibT_eX]

[DOI]

Valentina Kustikova

Nikolai Yu. Zolotykh

Maxim Zhiltsov

Proceedings of the Supercomputing, 2019

A Dynamic Algorithm for Constructing the Dual Representation of a Polyhedral Cone.

[BibT_eX]

[DOI]

Sergey O. Semenov

Nikolai Yu. Zolotykh

Proceedings of the Mathematical Optimization Theory and Operations Research, 2019

On the Linear Separability of Random Points in the d-dimensional Spherical Layer and in the d-dimensional Cube.

[BibT_eX]

[DOI]

Sergey V. Sidorov

Nikolai Yu. Zolotykh

Proceedings of the International Joint Conference on Neural Networks, 2019

Evolutionary Algorithms for Constructing an Ensemble of Decision Trees.

[BibT_eX]

[DOI]

Evgeny Dolotov

Nikolai Yu. Zolotykh

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018

Linear read-once and related Boolean functions.

[BibT_eX]

[DOI]

Discret. Appl. Math., 2018

2017

Specifying a positive threshold function via extremal points.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Algorithmic Learning Theory, 2017

SyntaxNet Errors from the Linguistic Point of View.

[BibT_eX]

[DOI]

Oleg Durandin

Alexey Malafeev

Nikolai Yu. Zolotykh

Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2016

On the Number of Irreducible Points in Polyhedra.

[BibT_eX]

[DOI]

Aleksandr Yu. Chirkov

Nikolai Yu. Zolotykh

Graphs Comb., 2016

2015

On the Minimal Teaching Sets of Two-Dimensional Threshold Functions.

[BibT_eX]

[DOI]

Max A. Alekseyev

Marina G. Basova

Nikolai Yu. Zolotykh

SIAM J. Discret. Math., 2015

2013

Alcuin's Propositiones de Civitatibus: the Earliest Packing Problems.

[BibT_eX]

[DOI]

Nikolai Yu. Zolotykh

CoRR, 2013

The average cardinality of the minimal teaching set of a threshold function on a two-dimensional rectangular grid.

[BibT_eX]

[DOI]

Max A. Alekseyev

Marina G. Basova

Nikolai Yu. Zolotykh

CoRR, 2013

SVM Regression Parameters Optimization Using Parallel Global Search Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Parallel Computing Technologies - 12th International Conference, 2013

1998

Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries.

[BibT_eX]

[DOI]

Valery N. Shevchenko

Nikolai Yu. Zolotykh

Proceedings of the Algorithmic Learning Theory, 9th International Conference, 1998

Nikolai Yu. Zolotykh

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