Nikolai Yu. Zolotykh

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 32

Top Topics

Top Venues

J. Glob. Optim.

Publications

Dmitry V. Gribanov, Ivan A. Shumilov, Dmitry S. Malyshev, Nikolai Yu. Zolotykh
Faster algorithms for sparse ILP and hypergraph multi-packing/multi-cover problems. J. Glob. Optim. 89 (4) (2024)
Dmitry V. Gribanov, Dmitriy S. Malyshev, Panos M. Pardalos, Nikolai Yu. Zolotykh
Faster Integer Points Counting in Parametric Polyhedra. CoRR (2023)
Sergey O. Semenov, Nikolai Yu. Zolotykh
How to find the convex hull of all integer points in a polyhedron? Optim. Lett. 16 (7) (2022)
Vadim V. Lozin, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh
On Boolean threshold functions with minimum specification number. Inf. Comput. 289 (Part) (2022)
Dmitry V. Gribanov, Nikolai Yu. Zolotykh
On lattice point counting in $\varDelta $-modular polyhedra. Optim. Lett. 16 (7) (2022)
Alexander Kirdin, Sergey V. Sidorov, Nikolai Yu. Zolotykh
Rosenblatt's First Theorem and Frugality of Deep Learning. Entropy 24 (11) (2022)
Sergey I. Bastrakov, Andrey Churkin, Nikolai Yu. Zolotykh
Accelerating Fourier-Motzkin elimination using bit pattern trees. Optim. Methods Softw. 36 (5) (2021)
Sergey I. Veselov, Dmitry V. Gribanov, Nikolai Yu. Zolotykh, Aleksandr Yu. Chirkov
A polynomial algorithm for minimizing discrete convic functions in fixed dimension. Discret. Appl. Math. 283 (2020)
Sergey I. Veselov, Dmitriy V. Gribanov, Nikolai Yu. Zolotykh, Aleksandr Yu. Chirkov
A polynomial algorithm for minimizing discrete convic functions in fixed dimension. CoRR (2020)
Viktor A. Moskalenko, Nikolai Yu. Zolotykh, Grigory V. Osipov
Deep Learning for ECG Segmentation. CoRR (2020)
Sergey V. Sidorov, Nikolai Yu. Zolotykh
Linear and Fisher Separability of Random Points in the d-Dimensional Spherical Layer and Inside the d-Dimensional Cube. Entropy 22 (11) (2020)
Alena I. Kalyakulina, Igor I. Yusipov, Viktor A. Moskalenko, Alexander V. Nikolskiy, Konstantin A. Kosonogov, Grigory V. Osipov, Nikolai Yu. Zolotykh, Mikhail V. Ivanchenko
LUDB: A New Open-Access Validation Tool for Electrocardiogram Delineation Algorithms. IEEE Access 8 (2020)
Sergey V. Sidorov, Nikolai Yu. Zolotykh
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer. IJCNN (2020)
Evgeny Dolotov, Nikolai Yu. Zolotykh
Evolutionary algorithms for constructing an ensemble of decision trees. CoRR (2020)
Sergey V. Sidorov, Nikolai Yu. Zolotykh
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer. CoRR (2020)
V. V. Kuznetsov, V. A. Moskalenko, Nikolai Yu. Zolotykh
Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder. CoRR (2020)
Sergey O. Semenov, Nikolai Yu. Zolotykh
How to Find the Convex Hull of All Integer Points in a Polyhedron? CoRR (2020)
Dmitry V. Gribanov, Nikolai Yu. Zolotykh
On lattice point counting in Δ-modular polyhedra. CoRR (2020)
Sergey O. Semenov, Nikolai Yu. Zolotykh
A Dynamic Algorithm for Constructing the Dual Representation of a Polyhedral Cone. MOTOR (2019)
Valentina Kustikova, Nikolai Yu. Zolotykh, Maxim Zhiltsov
Educational Course "Introduction to Deep Learning Using the Intel neon Framework". RuSCDays (2019)
Sergey V. Sidorov, Nikolai Yu. Zolotykh
On the Linear Separability of Random Points in the d-dimensional Spherical Layer and in the d-dimensional Cube. IJCNN (2019)
Nikolai Yu. Zolotykh, Sergei I. Bastrakov
Two variations of graph test in double description method. Comput. Appl. Math. 38 (3) (2019)
Antonio Candelieri, Ilaria Giordani, Francesco Archetti, Konstantin Barkalov, Iosif B. Meyerov, Alexey Polovinkin, Alexander Sysoyev, Nikolai Yu. Zolotykh
Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization. Comput. Oper. Res. 106 (2019)
Evgeny Dolotov, Nikolai Yu. Zolotykh
Evolutionary Algorithms for Constructing an Ensemble of Decision Trees. AIST (Supplement) (2019)
Aleksandr Yu. Chirkov, Dmitry V. Gribanov, Dmitriy S. Malyshev, Panos M. Pardalos, Sergey I. Veselov, Nikolai Yu. Zolotykh
On the complexity of quasiconvex integer minimization problem. J. Glob. Optim. 73 (4) (2019)
Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh
Linear read-once and related Boolean functions. CoRR (2018)
Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh
Linear read-once and related Boolean functions. Discret. Appl. Math. 250 (2018)
Aleksandr Yu. Chirkov, Dmitry V. Gribanov, Dmitriy S. Malyshev, Panos M. Pardalos, Sergey I. Veselov, Nikolai Yu. Zolotykh
On the complexity of quasiconvex integer minimization problem. CoRR (2018)
Vadim V. Lozin, Igor Razgon, Victor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh
Specifying a positive threshold function via extremal points. CoRR (2017)
Oleg Durandin, Alexey Malafeev, Nikolai Yu. Zolotykh
SyntaxNet Errors from the Linguistic Point of View. AIST (2017)
Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh
Specifying a positive threshold function via extremal points. ALT (2017)
Aleksandr Yu. Chirkov, Nikolai Yu. Zolotykh
On the Number of Irreducible Points in Polyhedra. Graphs Comb. 32 (5) (2016)
Max A. Alekseyev, Marina G. Basova, Nikolai Yu. Zolotykh
On the Minimal Teaching Sets of Two-Dimensional Threshold Functions. SIAM J. Discret. Math. 29 (1) (2015)
Nikolai Yu. Zolotykh
Alcuin's Propositiones de Civitatibus: the Earliest Packing Problems. CoRR (2013)
Max A. Alekseyev, Marina G. Basova, Nikolai Yu. Zolotykh
The average cardinality of the minimal teaching set of a threshold function on a two-dimensional rectangular grid. CoRR (2013)
Konstantin Barkalov, Alexey Polovinkin, Iosif B. Meyerov, Sergey V. Sidorov, Nikolai Yu. Zolotykh
SVM Regression Parameters Optimization Using Parallel Global Search Algorithm. PaCT (2013)
Valery N. Shevchenko, Nikolai Yu. Zolotykh
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries. ALT (1998)