Nikolai Yu. Zolotykh

According to our database, Nikolai Yu. Zolotykh authored at least 31 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Faster algorithms for sparse ILP and hypergraph multi-packing/multi-cover problems.

Dmitry V. Gribanov, Ivan A. Shumilov, Dmitry S. Malyshev, Nikolai Yu. Zolotykh

J. Glob. Optim., August, 2024

2023

Faster Integer Points Counting in Parametric Polyhedra.

Dmitry V. Gribanov, Dmitriy S. Malyshev, Panos M. Pardalos, Nikolai Yu. Zolotykh

CoRR, 2023

2022

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

Sergey O. Semenov, Nikolai Yu. Zolotykh

Optim. Lett., 2022

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

Dmitry V. Gribanov, Nikolai Yu. Zolotykh

Optim. Lett., 2022

On Boolean threshold functions with minimum specification number.

Vadim V. Lozin, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh

Inf. Comput., 2022

Rosenblatt's First Theorem and Frugality of Deep Learning.

Alexander Kirdin, Sergey V. Sidorov, Nikolai Yu. Zolotykh

Entropy, 2022

Rosenblatt's first theorem and frugality of deep learning.

A. N. Kirdin, Sergey V. Sidorov, Nikolai Yu. Zolotykh

CoRR, 2022

2021

Accelerating Fourier-Motzkin elimination using bit pattern trees.

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.

Sergey V. Sidorov, Nikolai Yu. Zolotykh

Entropy, 2020

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

Sergey I. Veselov, Dmitry V. Gribanov, Nikolai Yu. Zolotykh, Aleksandr Yu. Chirkov

Discret. Appl. Math., 2020

On lattice point counting in Δ-modular polyhedra.

Dmitry V. Gribanov, Nikolai Yu. Zolotykh

CoRR, 2020

Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder.

V. V. Kuznetsov, V. A. Moskalenko, Nikolai Yu. Zolotykh

CoRR, 2020

Deep Learning for ECG Segmentation.

Viktor A. Moskalenko, Nikolai Yu. Zolotykh, Grigory V. Osipov

CoRR, 2020

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

Alena I. Kalyakulina, Igor I. Yusipov, Viktor A. Moskalenko, Alexander V. Nikolskiy, Konstantin A. Kosonogov, Grigory V. Osipov, Nikolai Yu. Zolotykh, Mikhail Ivanchenko

IEEE Access, 2020

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

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.

Aleksandr Yu. Chirkov, Dmitry V. Gribanov, Dmitriy S. Malyshev, Panos M. Pardalos, Sergey I. Veselov, Nikolai Yu. Zolotykh

J. Glob. Optim., 2019

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

Antonio Candelieri, Ilaria Giordani, Francesco Archetti, Konstantin Barkalov, Iosif B. Meyerov, Alexey Polovinkin, Alexander Sysoyev, Nikolai Yu. Zolotykh

Comput. Oper. Res., 2019

Two variations of graph test in double description method.

Nikolai Yu. Zolotykh, Sergei I. Bastrakov

Comput. Appl. Math., 2019

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

Valentina Kustikova, Nikolai Yu. Zolotykh, Maxim Zhiltsov

Proceedings of the Supercomputing, 2019

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

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.

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.

Evgeny Dolotov, Nikolai Yu. Zolotykh

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

2018

Linear read-once and related Boolean functions.

Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh

Discret. Appl. Math., 2018

2017

Specifying a positive threshold function via extremal points.

Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh

Proceedings of the International Conference on Algorithmic Learning Theory, 2017

SyntaxNet Errors from the Linguistic Point of View.

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.

Aleksandr Yu. Chirkov, Nikolai Yu. Zolotykh

Graphs Comb., 2016

2015

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

Max A. Alekseyev, Marina G. Basova, Nikolai Yu. Zolotykh

SIAM J. Discret. Math., 2015

2013

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

Nikolai Yu. Zolotykh

CoRR, 2013

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

Max A. Alekseyev, Marina G. Basova, Nikolai Yu. Zolotykh

CoRR, 2013

SVM Regression Parameters Optimization Using Parallel Global Search Algorithm.

Konstantin Barkalov, Alexey Polovinkin, Iosif B. Meyerov, Sergey V. Sidorov, Nikolai Yu. Zolotykh

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

1998

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

Valery N. Shevchenko, Nikolai Yu. Zolotykh

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