Dmitry Kaplun
Dmitry Kaplun
Saint Petersburg Electrotechnical University "LETI" (СПбГЭТУ «ЛЭТИ»)
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A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
A Manna, R Kundu, D Kaplun, A Sinitca, R Sarkar
Scientific Reports 11 (1), 14538, 2021
Analysis of the quantization noise in discrete wavelet transform filters for image processing
N Chervyakov, P Lyakhov, D Kaplun, D Butusov, N Nagornov
Electronics 7 (8), 135, 2018
The effects of Padé numerical integration in simulation of conservative chaotic systems
D Butusov, A Karimov, A Tutueva, D Kaplun, EG Nepomuceno
Entropy 21 (4), 362, 2019
Brain tumor image generation using an aggregation of GAN models with style transfer
D Mukherkjee, P Saha, D Kaplun, A Sinitca, R Sarkar
Scientific Reports 12 (1), 9141, 2022
A deep learning model for classifying human facial expressions from infrared thermal images
A Bhattacharyya, S Chatterjee, S Sen, A Sinitca, D Kaplun, R Sarkar
Scientific reports 11 (1), 20696, 2021
Adaptive signal processing algorithms based on EMD and ITD
A Voznesensky, D Kaplun
IEEE Access 7, 171313-171321, 2019
Detection of norway spruce trees (Picea Abies) infested by bark beetle in UAV images using YOLOs architectures
A Safonova, Y Hamad, A Alekhina, D Kaplun
IEEE Access 10, 10384-10392, 2022
Empirical mode decomposition for signal preprocessing and classification of intrinsic mode functions
DM Klionskiy, DI Kaplun, VV Geppener
Pattern Recognition and Image Analysis 28, 122-132, 2018
Signal denoising based on empirical mode decomposition
D Klionskiy, M Kupriyanov, D Kaplun
Journal of Vibroengineering 19 (7), 5560-5570, 2017
Computational analysis of movement patterns of dogs with ADHD-like behavior
S Bleuer-Elsner, A Zamansky, A Fux, D Kaplun, S Romanov, A Sinitca, ...
Animals 9 (12), 1140, 2019
Optimal estimation of wavelet decomposition level for a matching pursuit algorithm
D Kaplun, A Voznesenskiy, S Romanov, E Nepomuceno, D Butusov
Entropy 21 (9), 843, 2019
A new method for adaptive median filtering of images
PA Lyakhov, AR Orazaev, NI Chervyakov, DI Kaplun
2019 IEEE Conference of Russian Young Researchers in Electrical and …, 2019
Analysis of dogs’ sleep patterns using convolutional neural networks
A Zamansky, AM Sinitca, DI Kaplun, M Plazner, IG Schork, RJ Young, ...
Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019
Filtering techniques for chaotic signal processing
D Butusov, T Karimov, A Voznesenskiy, D Kaplun, V Andreev, V Ostrovskii
Electronics 7 (12), 450, 2018
Construction of residue number system using hardware efficient diagonal function
M Valueva, G Valuev, N Semyonova, P Lyakhov, N Chervyakov, D Kaplun, ...
Electronics 8 (6), 694, 2019
New technique to quantify chaotic dynamics based on differences between semi-implicit integration schemes
DN Butusov, DO Pesterev, AV Tutueva, DI Kaplun, EG Nepomuceno
Communications in Nonlinear Science and Numerical Simulation 92, 105467, 2021
Implementation of digital filters in the residue number system
DI Kaplun, VV Gulvanskiy, DM Klionskiy, MS Kupriyanov, AV Veligosha
2016 IEEE NW Russia young researchers in electrical and electronic …, 2016
Classification of moduli sets for residue number system with special diagonal functions
P Boyvalenkov, NI Chervyakov, P Lyakhov, N Semyonova, A Nazarov, ...
IEEE Access 8, 156104-156116, 2020
Animal health informatics: Towards a generic framework for automatic behavior analysis
D Kaplun, A Sinitca, A Zamansky, S Bleuer-Elsner, M Plazner, A Fux, ...
Proceedings of the 12th International Conference on Health Informatics …, 2019
Application of polyphase filter banks to wideband monitoring tasks
DI Kaplun, DM Klionskiy, AS Voznesenskiy, VV Gulvanskiy
Proceedings of the 2014 IEEE NW Russia young researchers in electrical and …, 2014
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