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Alexander V. Kugaevskikh

Observed names: A V Kugaevskikh, A. V. Kugaevskikh, A.V. Kugaevskikh, Alexander Kugaevskikh, Kugaevskikh, Alexander
Institution: ITMO University
Observed institutions: Russian Academy of Sciences, ITMO University, Novosibirsk State University, Siberian Branch of the Russian Academy of Sciences, Institute of Automation and Electrometry, Tyumen State Medical University, Novosibirsk State Technical University
ORCID: 0000-0002-6676-0518
Observed ORCID: 0000-0002-6676-0518
OpenAlex ID: A5027830717
Analyzing the Efficiency of Segment Boundary Detection Using Neural Networks
2019 · A. V. Kugaevskikh, A. A. Sogreshilin · Optoelectronics Instrumentation and Data Processing · 32
Recognition of deaf gestures based on a bio-inspired neural network
2020 · M G Grif, A V Kugaevskikh · Journal of Physics Conference Series · 5
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Local properties of neural networks through the lens of layer-wise Hessians
2025 · Bolshim, Maxim, Kugaevskikh, Alexander · arXiv (Cornell University) · 4
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Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
2026 · Bolshim, Maxim, Kugaevskikh, Alexander · arXiv (Cornell University) · 3
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The use of anthropometric points to introduce restrictions into the synthesis of a 3D model of the human body using SMPL
2023 · A.V. Kugaevskikh, M.A. Bolshim, et al. · Scientific and technical journal of information technologies mechanics and optics · 1
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Bio-Inspired End-Stopped Neuron Model for the Curves Segmentation
2020 · Alexander Kugaevskikh · International Russian Automation Conference (RusAutoCon) · 1
Supplementary Material: When Gradient Clipping Hides Curvature Shifts: Layer-Wise Hessian Diagnostics for Deep Network Training
2026 · Bolshim, Maksim, Kugaevskikh, Alexander · Zenodo (CERN European Organization for Nuclear Research)
curv-block-discard: curvature discarded by block-diagonal preconditioning
2026 · Bolshim, Maxim, Kugaevskikh, Alexander · Zenodo (CERN European Organization for Nuclear Research)
Diagnostics of inter-layer connectivity decay and minimal correction by residual connections in deep sequential networks
2026 · М. A. Bolshim, A. V. Kugaevskikh · Scientific and technical journal of information technologies mechanics and optics
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Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
2026 · Bolshim, Maxim, Kugaevskikh, Alexander · arXiv (Cornell University)
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DAG-Hesse: Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
2026 · Bolshim, Maxim, Kugaevskikh, Alexander · Zenodo (CERN European Organization for Nuclear Research)
Font generation based on style and character structure analysis using diffusion models
2025 · M. I. Maslov, A. E. Avdyushina, et al. · Scientific and technical journal of information technologies mechanics and optics
Usage of Bio-inspired Neural Networks for the Deafsign Speech Recognition
2024 · M.G. Grif, A.V. Kugaevskikh · Scientific Research of the SCO Countries: Synergy and Integration
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COVID-19 Screening Based on Application of Neural Network Classification of Exhale Spectra
2022 · Alexander V. Kugaevskikh · International Conference on Neural Networks and Neurotechnologies (NeuroNT)
Bio-Inspired Models of Convolution Neurons in the Problem of Illusory Contour Recognition
2022 · A. V. Kugaevskikh, M. S. Beryanov · Vestnik NSU Series Information Technologies
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Bio-inspired Neuron Model for Motion Detection on Base Signal Accumulation
2022 · A.V. Kugaevskikh, A.D. Mangarakov · International Conference on Computer Graphics and Vision (GraphiCon)
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New End-Stopped Complex Cell Model Applicable in Convolutional Neural Networks
2021 · A. V. Kugaevskikh · Vestnik NSU Series Information Technologies
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Research of a Neuron Model with Signal Accumulation for Motion Detection
2021 · Alexander Kugaevskikh · International Conference Neurotechnologies and Neurointerfaces (CNN)
Prediction of Some Parameters of Gas-Condensate Slits by Means of Neural Networks
2017 · Alexander V. Kugaevskikh · Tyumen State University Herald Physical and Mathematical Modeling Oil Gas Energy
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Works count: 20
Citation count: 46
H-index: 3
I10-index: 1
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