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Nikolai Yu. Zolotykh
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- affiliation: National Research Lobachevsky State University of Nizhni Novgorod, Russia
- affiliation: National Research University Higher School of Economics, Nizhni Novgorod, Russia
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2020 – today
- 2024
- [j15]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): 1033-1067 (2024) - 2023
- [i14]Dmitry V. Gribanov, Dmitriy S. Malyshev, Panos M. Pardalos, Nikolai Yu. Zolotykh:
Faster Integer Points Counting in Parametric Polyhedra. CoRR abs/2310.13788 (2023) - 2022
- [j14]Alexander Kirdin, Sergey V. Sidorov
Rosenblatt's First Theorem and Frugality of Deep Learning. Entropy 24(11): 1635 (2022) - [j13]Vadim V. Lozin, Viktor Zamaraev
On Boolean threshold functions with minimum specification number. Inf. Comput. 289(Part): 104926 (2022) - [j12]Dmitry V. Gribanov
On lattice point counting in $\varDelta $-modular polyhedra. Optim. Lett. 16(7): 1991-2018 (2022) - [j11]Sergey O. Semenov
How to find the convex hull of all integer points in a polyhedron? Optim. Lett. 16(7): 2177-2189 (2022) - [i13]A. N. Kirdin, Sergey V. Sidorov
Rosenblatt's first theorem and frugality of deep learning. CoRR abs/2208.13778 (2022) - 2021
- [j10]Sergey I. Bastrakov
Accelerating Fourier-Motzkin elimination using bit pattern trees. Optim. Methods Softw. 36(5): 1082-1095 (2021) - 2020
- [j9]Alena I. Kalyakulina
LUDB: A New Open-Access Validation Tool for Electrocardiogram Delineation Algorithms. IEEE Access 8: 186181-186190 (2020) - [j8]Sergey I. Veselov
A polynomial algorithm for minimizing discrete convic functions in fixed dimension. Discret. Appl. Math. 283: 11-19 (2020) - [j7]Sergey V. Sidorov
Linear and Fisher Separability of Random Points in the d-Dimensional Spherical Layer and Inside the d-Dimensional Cube. Entropy 22(11): 1281 (2020) - [c9]Sergey V. Sidorov
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer. IJCNN 2020: 1-6 - [i12]Viktor A. Moskalenko, Nikolai Yu. Zolotykh, Grigory V. Osipov:
Deep Learning for ECG Segmentation. CoRR abs/2001.04689 (2020) - [i11]V. V. Kuznetsov, V. A. Moskalenko, Nikolai Yu. Zolotykh:
Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder. CoRR abs/2002.00254 (2020) - [i10]Evgeny Dolotov, Nikolai Yu. Zolotykh:
Evolutionary algorithms for constructing an ensemble of decision trees. CoRR abs/2002.00721 (2020) - [i9]Sergey V. Sidorov, Nikolai Yu. Zolotykh:
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer. CoRR abs/2002.01306 (2020) - [i8]Dmitry V. Gribanov, Nikolai Yu. Zolotykh:
On lattice point counting in Δ-modular polyhedra. CoRR abs/2010.05768 (2020) - [i7]Sergey O. Semenov, Nikolai Yu. Zolotykh:
How to Find the Convex Hull of All Integer Points in a Polyhedron? CoRR abs/2010.13147 (2020) - [i6]Sergey I. Veselov, Dmitriy V. Gribanov, Nikolai Yu. Zolotykh, Aleksandr Yu. Chirkov:
A polynomial algorithm for minimizing discrete convic functions in fixed dimension. CoRR abs/2011.00598 (2020)
2010 – 2019
- 2019
- [j6]Nikolai Yu. Zolotykh
Two variations of graph test in double description method. Comput. Appl. Math. 38(3) (2019) - [j5]Antonio Candelieri, Ilaria Giordani, Francesco Archetti, Konstantin Barkalov
Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization. Comput. Oper. Res. 106: 202-209 (2019) - [j4]Aleksandr Yu. Chirkov, Dmitry V. Gribanov, Dmitriy S. Malyshev
On the complexity of quasiconvex integer minimization problem. J. Glob. Optim. 73(4): 761-788 (2019) - [c8]Evgeny Dolotov, Nikolai Yu. Zolotykh
Evolutionary Algorithms for Constructing an Ensemble of Decision Trees. AIST (Supplement) 2019: 9-15 - [c7]Sergey V. Sidorov
On the Linear Separability of Random Points in the d-dimensional Spherical Layer and in the d-dimensional Cube. IJCNN 2019: 1-4 - [c6]Sergey O. Semenov
A Dynamic Algorithm for Constructing the Dual Representation of a Polyhedral Cone. MOTOR 2019: 59-69 - [c5]Valentina Kustikova
Educational Course "Introduction to Deep Learning Using the Intel neon Framework". RuSCDays 2019: 554-562 - 2018
- [j3]Vadim V. Lozin, Igor Razgon, Viktor Zamaraev
Linear read-once and related Boolean functions. Discret. Appl. Math. 250: 16-27 (2018) - [i5]Vadim V. Lozin, Igor Razgon, Viktor Zamaraev
Linear read-once and related Boolean functions. CoRR abs/1805.10159 (2018) - [i4]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 abs/1807.02790 (2018) - 2017
- [c4]Oleg Durandin
SyntaxNet Errors from the Linguistic Point of View. AIST 2017: 34-46 - [c3]Vadim V. Lozin, Igor Razgon, Viktor Zamaraev, Elena Zamaraeva, Nikolai Yu. Zolotykh:
Specifying a positive threshold function via extremal points. ALT 2017: 208-222 - [i3]Vadim V. Lozin, Igor Razgon, Victor Zamaraev
Specifying a positive threshold function via extremal points. CoRR abs/1706.01747 (2017) - 2016
- [j2]Aleksandr Yu. Chirkov, Nikolai Yu. Zolotykh
On the Number of Irreducible Points in Polyhedra. Graphs Comb. 32(5): 1789-1803 (2016) - 2015
- [j1]Max A. Alekseyev
On the Minimal Teaching Sets of Two-Dimensional Threshold Functions. SIAM J. Discret. Math. 29(1): 157-165 (2015) - 2013
- [c2]Konstantin Barkalov
SVM Regression Parameters Optimization Using Parallel Global Search Algorithm. PaCT 2013: 154-166 - [i2]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 abs/1307.1058 (2013) - [i1]Nikolai Yu. Zolotykh:
Alcuin's Propositiones de Civitatibus: the Earliest Packing Problems. CoRR abs/1308.0892 (2013)
1990 – 1999
- 1998
- [c1]Valery N. Shevchenko, Nikolai Yu. Zolotykh
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries. ALT 1998: 61-71
Coauthor Index
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