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). - Viktoriya Slavnykh; Alexander Sergeev; Viktor Filimonov (AIST (Supplement), 2015)

Irregularity as a Quantitative Assessment of Font Drawing and Its Effect on the Reading Speed. - Dmitry A. Tarasov; Alexander Sergeev (AIST (Supplement), 2015)

Use of symmetric Hadamard and Mersenne matrices in digital image processing. - Anton A. Vostrikov; Michael Borisovich Sergeev; Nikolaj A. Balonin; Alexander Sergeev (KES, 2018)

Horovod: fast and easy distributed deep learning in TensorFlow. - Alexander Sergeev; Mike Del Balso (CoRR, 2018)

The Study of Generators of Orthogonal Pseudo-random Sequences. - Yuriy Balonin; Leonid Abuzin; Alexander Sergeev; Vadim A. Nenashev (KES-IDT (2), 2019)

Discovering and Analyzing Binary Codes Based on Monocyclic Quasi-Orthogonal Matrices. - Alexander Sergeev; Vadim A. Nenashev; Anton A. Vostrikov; Alexander P. Shepeta; Daniil Kurtyanik (KES-IDT (2), 2019)

Portraits of Orthogonal Matrices as a Base for Discrete Textile Ornament Patterns. - Alexander Sergeev; Michael Borisovich Sergeev; Anton A. Vostrikov; Daniil Kurtyanik (KES-IDT (2), 2019)

Data Collection And Processing Problems in Automatic EEG Emotion Recognition. - Alexander Sergeev; Andrey Bilyi (MICSECS, 2019)

Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. - 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; et al. (ISC, 2019)

Calculating symmetrical Hadamard matrices of Balonin-Seberry construction for coding and masking. - Alexander Sergeev; Anton A. Vostrikov (KES, 2020)

Symmetry Indices as a Key to Finding Matrices of Cyclic Structure for Noise-Immune Coding. - Alexander Sergeev; Michael Borisovich Sergeev; Nikolaj A. Balonin; Anton A. Vostrikov (KES-IDT, 2020)

Search and Modification of Code Sequences Based on Circulant Quasi-orthogonal Matrices. - Alexander Sergeev; Michael Borisovich Sergeev; Vadim A. Nenashev; Anton A. Vostrikov (KES-IDT, 2020)

Using Families of Extremal Quasi-Orthogonal Matrices in Communication Systems. - Anton A. Vostrikov; Alexander Sergeev; Yuriy Balonin (KES-IDT, 2021)

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. - Alexander Buevich; Alexander Sergeev; Andrey Shichkin; Elena Baglaeva (Neural Comput. Appl., 2021)

Three-day forecasting of greenhouse gas CH4 in the atmosphere of the Arctic Belyy Island using discrete wavelet transform and artificial neural networks. - Anna Rakhmatova; Alexander Sergeev; Andrey Shichkin; Alexander Buevich; Elena Baglaeva (Neural Comput. Appl., 2021)

Matrix Mining for Digital Transformation. - Nikolaj A. Balonin; Yuriy Balonin; Anton A. Vostrikov; Alexander Sergeev; Michael Borisovich Sergeev (KES-IDT, 2022)

Specifics of Matrix Masking in Digital Radar Images Transmitted Through Radar Channel. - Vadim A. Nenashev; Anton Sentsov; Alexander Sergeev (KES-IDT, 2022)

Controllable Story Generation Based on Perplexity Minimization. - Sergey V. Vychegzhanin; Anastasia Kotelnikova; Alexander Sergeev; Evgeny V. Kotelnikov (AIST, 2023)

From Tokens to Tales: Semantic Similarity in Story Generation. - Sergey V. Vychegzhanin; Anastasia Kotelnikova; Alexander Sergeev; Evgeny V. Kotelnikov (AIST, 2024)

Do LLMs Understand Why We Write Diaries? A Method for Purpose Extraction and Clustering. - Valeriya Goloviznina; Alexander Sergeev; Mikhail Melnichenko; Evgeny V. Kotelnikov (CoRR, 2025)

Talking to Data: Designing Smart Assistants for Humanities Databases. - Alexander Sergeev; Valeriya Goloviznina; Mikhail Melnichenko; Evgeny V. Kotelnikov (CoRR, 2025)