A new technique for restricted Boltzmann machine learning. - Vladimir A. Golovko; Aliaksandr Kroshchanka; Volodymyr Turchenko; Stanislaw Jankowski; Douglas Treadwell (IDAACS, 2015)

Theoretical Notes on Unsupervised Learning in Deep Neural Networks. - Vladimir A. Golovko; Aliaksandr Kroshchanka (IJCCI (NCTA), 2016)

Convolutional neural network based solar photovoltaic panel detection in satellite photos. - Vladimir A. Golovko; Sergei V. Bezobrazov; Alexander Kroshchanka; Anatoliy Sachenko; Myroslav Komar; Andriy F. Karachka (IDAACS, 2017)

Neural Network Approach for Semantic Coding of Words. - Vladimir A. Golovko; Alexander Kroshchanka; Myroslav Komar; Anatoliy Sachenko (ISDMCI, 2019)

Deep Convolutional Neural Network for Recognizing the Images of Text Documents. - Vladimir A. Golovko; Aliaksandr Kroshchanka; Egor Mikhno; Myroslav Komar; Anatoliy Sachenko; Sergei V. Bezobrazov; Inna Shylinska (MoMLeT, 2019)

The Reduction of Fully Connected Neural Network Parameters Using the Pre-training Technique. - Aliaksandr Kroshchanka; Vladimir A. Golovko (IDAACS, 2021)

Unsupervised Pre-Training of Deep Neural Classifiers. - Aliaksandr Kroshchanka; Vladimir A. Golovko; Shi Peiwen; Zofia Lubanska (IDAACS, 2023)