Poincaré Recurrences in a Nonautonomous Chaotic Map. - Yaroslav I. Boev; Nadezhda Semenova; Galina I. Strelkova; Vadim S. Anishchenko (Int. J. Bifurc. Chaos, 2014)

Statistical properties of Poincaré recurrences and Afraimovich-Pesin dimension for the circle map. - Nadezhda Semenova; Tatiana E. Vadivasova; Galina I. Strelkova; Vadim S. Anishchenko (Commun. Nonlinear Sci. Numer. Simul., 2015)

Fundamental aspects of noise in analog-hardware neural networks. - Nadezhda Semenova; Xavier Porte; Louis Andreoli; Maxime Jacquot; Laurent Larger; Daniel Brunner (CoRR, 2019)

The general aspects of noise in analogue hardware deep neural networks. - Nadezhda Semenova; Laurent Larger; Daniel Brunner (CoRR, 2021)

Noise mitigation strategies in physical feedforward neural networks. - Nadezhda Semenova; Daniel Brunner (CoRR, 2022)

Understanding and mitigating noise in trained deep neural networks. - Nadezhda Semenova; Laurent Larger; Daniel Brunner (Neural Networks, 2022)

Simple method for detecting sleep episodes in rats ECoG using machine learning. - Konstantin Sergeev; Anastasiya Runnova; Maxim Zhuravlev; Evgenia Sitnikova; Elizaveta Rutskova; Kirill Smirnov; Andrei Slepnev; Nadezhda Semenova (CoRR, 2023)

Symbiosis of an artificial neural network and models of biological neurons: training and testing. - Tatyana Bogatenko; Konstantin Sergeev; Andrei Slepnev; Jürgen Kurths; Nadezhda Semenova (CoRR, 2023)

Impact of white Gaussian internal noise on analog echo-state neural networks. - Nadezhda Semenova (CoRR, 2024)

Impact of white noise in artificial neural networks trained for classification: performance and noise mitigation strategies. - Nadezhda Semenova; Daniel Brunner (CoRR, 2024)

A simple and fast ANN-based method of studying slow-wave sleep microstructure in freely moving rats. - Dmitrii Perevozniuk; Ivan Lazarenko; Nadezhda Semenova; Evgenia Sitnikova (Biosyst., 2024)

Internal noise in hardware deep and recurrent neural networks helps with learning. - Ivan Kolesnikov; Nadezhda Semenova (CoRR, 2025)

Impact of internal noise on convolutional neural networks. - Ivan Kolesnikov; Nadezhda Semenova (CoRR, 2025)