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ORCIDAlexander Sergeev
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Journal Articles
- 2021
[j2]Alexander Buevich
, Alexander Sergeev, Andrey Shichkin, Elena Baglaeva:
A two-step combined algorithm based on NARX neural network and the subsequent prediction of the residues improves prediction accuracy of the greenhouse gases concentrations. Neural Comput. Appl. 33(5): 1547-1557 (2021)- [j1]Anna Rakhmatova, Alexander Sergeev, Andrey Shichkin, Alexander Buevich, Elena Baglaeva:
Three-day forecasting of greenhouse gas CH4 in the atmosphere of the Arctic Belyy Island using discrete wavelet transform and artificial neural networks. Neural Comput. Appl. 33(16): 10311-10322 (2021)
Conference and Workshop Papers
- 2023
- [c15]Sergey V. Vychegzhanin, Anastasia Kotelnikova, Alexander Sergeev, Evgeny V. Kotelnikov:
Controllable Story Generation Based on Perplexity Minimization. AIST 2023: 154-169 - 2022
- [c14]Vadim A. Nenashev, Anton Sentsov, Alexander Sergeev:
Specifics of Matrix Masking in Digital Radar Images Transmitted Through Radar Channel. KES-IDT 2022: 227-236 - [c13]Nikolaj A. Balonin, Yuriy Balonin, Anton A. Vostrikov, Alexander Sergeev, Michael Borisovich Sergeev:
Matrix Mining for Digital Transformation. KES-IDT 2022: 237-248 - 2021
- [c12]Anton A. Vostrikov, Alexander Sergeev, Yuriy Balonin:
Using Families of Extremal Quasi-Orthogonal Matrices in Communication Systems. KES-IDT 2021: 95-108 - 2020
- [c11]Alexander Sergeev, Anton A. Vostrikov:
Calculating symmetrical Hadamard matrices of Balonin-Seberry construction for coding and masking. KES 2020: 1722-1728 - [c10]Alexander Sergeev, Michael Borisovich Sergeev, Nikolaj A. Balonin, Anton A. Vostrikov:
Symmetry Indices as a Key to Finding Matrices of Cyclic Structure for Noise-Immune Coding. KES-IDT 2020: 223-230 - [c9]Alexander Sergeev, Michael Borisovich Sergeev, Vadim A. Nenashev, Anton A. Vostrikov:
Search and Modification of Code Sequences Based on Circulant Quasi-orthogonal Matrices. KES-IDT 2020: 231-242 - 2019
- [c8]Alexander Sergeev, Vadim A. Nenashev, Anton A. Vostrikov, Alexander P. Shepeta, Daniil Kurtyanik:
Discovering and Analyzing Binary Codes Based on Monocyclic Quasi-Orthogonal Matrices. KES-IDT (2) 2019: 113-123 - [c7]Yuriy Balonin, Leonid Abuzin, Alexander Sergeev, Vadim A. Nenashev:
The Study of Generators of Orthogonal Pseudo-random Sequences. KES-IDT (2) 2019: 125-133 - [c6]Alexander Sergeev, Michael Borisovich Sergeev, Anton A. Vostrikov, Daniil Kurtyanik:
Portraits of Orthogonal Matrices as a Base for Discrete Textile Ornament Patterns. KES-IDT (2) 2019: 135-143 - [c5]Alexander Sergeev, Andrey Bilyi:
Data Collection And Processing Problems in Automatic EEG Emotion Recognition. MICSECS 2019 - [c4]Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang:
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. ISC 2019: 23-39 - 2018
- [c3]Anton A. Vostrikov, Michael Borisovich Sergeev, Nikolaj A. Balonin, Alexander Sergeev:
Use of symmetric Hadamard and Mersenne matrices in digital image processing. KES 2018: 1054-1061 - 2015
- [c2]Dmitry A. Tarasov, Alexander Sergeev:
Irregularity as a Quantitative Assessment of Font Drawing and Its Effect on the Reading Speed. AIST (Supplement) 2015: 177-182 - [c1]Viktoriya Slavnykh, Alexander Sergeev, Viktor Filimonov:
О методах исследования цифровых копий художественных произведений для определения их индивидуальных особенностей (About The Methods of Research Digital Copies Works of Art to Determine their Specific Features). AIST (Supplement) 2015: 196-202
Informal and Other Publications
- 2019
- [i2]Derya Çavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang:
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. CoRR abs/1905.04035 (2019) - 2018
- [i1]Alexander Sergeev, Mike Del Balso:
Horovod: fast and easy distributed deep learning in TensorFlow. CoRR abs/1802.05799 (2018)
Coauthor Index
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