Technique of Learning Rate Estimation for Efficient Training of MLP. - Vladimir A. Golovko; Yury Savitsky; Anatoly Sachenko; Theodore Laopoulos; Lucio Grandinetti (IJCNN (1), 2000)

Sensor Errors Prediction Using Neural Networks. - Anatoly Sachenko; Volodymyr Kochan; Volodymyr Turchenko; Vladimir A. Golovko; Yury Savitsky; A. Dunets; Theodore Laopoulos (IJCNN (4), 2000)

нейросетевой подход определения показателей ляпупова для хаотических процессов. - Vladimir A. Golovko; Yury Savitsky (Int. J. Comput., 2002)

Infrared Sensor Data Correction for Local Area Map Construction by a Mobile Robot. - Vasyl Koval; Volodymyr Turchenko; Anatoly Sachenko; José Antonio Becerra; Richard J. Duro; Vladimir A. Golovko (IEA/AIE, 2003)

Estimation of the Lyapunov spectrum from One-dimensional observations using Neural Networks. - Vladimir A. Golovko (Int. J. Comput., 2003)

Computing of Lyapunov exponents Techniques using Neural Networks. - Vladimir A. Golovko; Yury Savitsky (Int. J. Comput., 2004)

Intrusion Recognition using Neural Networks. - Vladimir A. Golovko; Pavel A. Kochurko (Int. J. Comput., 2005)

Neural Network Approaches for Intrusion Detection and Recognition. - Vladimir A. Golovko; Leanid U. Vaitsekhovich (Int. J. Comput., 2006)

Application of Neural Networks to the Electroencephalogram Analysis for Epilepsy Detection. - Vladimir A. Golovko; Svetlana V. Bezobrazova; Sergei V. Bezobrazov; Uladzimir S. Rubanau (IJCNN, 2007)

Dimensionality Reduction and Attack Recognition using Neural Network Approaches. - Vladimir A. Golovko; Leanid U. Vaitsekhovich; Pavel A. Kochurko; Uladzimir S. Rubanau (IJCNN, 2007)

Artificial Immune Systems Approach for Malware Detection: Neural Networks Applying for Immune detectors Construction. - Sergei V. Bezobrazov; Vladimir A. Golovko (Int. J. Comput., 2008)

Neural-Network Segmentation of electroencephalogram signals for epileptiform Activity Detection. - Svetlana V. Bezobrazova; Vladimir A. Golovko (Int. J. Comput., 2008)

Implementation of Neural Networks and Boosting Algorithms for Effective Intrusion Detection. - Vladimir A. Golovko; Leanid U. Vaitsekhovich (Int. J. Comput., 2008)

Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection. - Vladimir A. Golovko; Sergei V. Bezobrazov; Pavel Kachurka; Leanid U. Vaitsekhovich (Advances in Machine Learning II, 2010)

Evolution of immune detectors in intelligent security system for malware detection. - Vladimir A. Golovko; Sergei V. Bezobrazov; Vasilii Melianchuk; Myroslav Komar (IDAACS (2), 2011)

Neural network approach to real-time network intrusion detection and recognition. - Pavel Kachurka; Vladimir A. Golovko (IDAACS (1), 2011)

Intelligent system for detection of networking intrusion. - Myroslav Komar; Vladimir A. Golovko; Anatoly Sachenko; Sergei V. Bezobrazov (IDAACS (1), 2011)

Parallel Batch Pattern Training of Recirculation Neural Network. - Volodymyr Turchenko; Vladimir A. Golovko; Anatoly Sachenko (ICINCO (1), 2012)

General Model for Organizing Interactions in Multi-Agent Systems. - Anton Kabysh; Vladimir A. Golovko (Int. J. Comput., 2012)

Influence Learning for Multi-Agent System based on Reinforcement Learning. - Anton Kabysh; Vladimir A. Golovko; Arunas Lipnickas (Int. J. Comput., 2012)

Fusion of recirculation Neural Networks for Real-Time Network Intrusion Detection and Recognition. - Pavel Kachurka; Vladimir A. Golovko (Int. J. Comput., 2012)

A multi-agent reinforcement learning approach for the efficient control of mobile robot. - Uladzimir Dziomin; Anton Kabysh; Vladimir A. Golovko; Ralf Stetter (IDAACS, 2013)

Development of neural network immune detectors for computer attacks recognition and classification. - Myroslav Komar; Vladimir A. Golovko; Anatoly Sachenko; Sergei V. Bezobrazov (IDAACS, 2013)

Parallel batch pattern training algorithm for deep neural network. - Volodymyr Turchenko; Vladimir A. Golovko (HPCS, 2014)

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

Visual saliency based approach to object detection in computer vision systems: Real life applications. - Viachaslau Kachurka; Kurosh Madani; Christophe Sabourin; Vladimir A. Golovko (IDAACS, 2015)

From Human Eye Fixation to Human-like Autonomous Artificial Vision. - Viachaslau Kachurka; Kurosh Madani; Christophe Sabourin; Vladimir A. Golovko (IWANN (1), 2015)

Towards Automatic epileptic seizure Detection in EEGs based on Neural Networks and largest Lyapunov Exponent. - Vladimir A. Golovko; Svetlana Artsiomenka; Volha Kisten; Victor Evstigneev (Int. J. Comput., 2015)

Intelligent Cyber Defense System. - Myroslav Komar; Anatoliy Sachenko; Sergei V. Bezobrazov; Vladimir A. Golovko (ICTERI, 2016)

Intelligent Cyber Defense System Using Artificial Neural Network and Immune System Techniques. - Myroslav Komar; Anatoliy Sachenko; Sergei V. Bezobrazov; Vladimir A. Golovko (ICTERI (Revised Selected Papers), 2016)

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)

High performance adaptive system for cyber attacks detection. - Myroslav Komar; Volodymyr Kochan; Lesia Dubchak; Anatoliy Sachenko; Vladimir A. Golovko; Sergei V. Bezobrazov; Ihor Romanets (IDAACS, 2017)

Deep Neural Network for Image Recognition Based on the Caffe Framework. - Myroslav Komar; Pavlo Yakobchuk; Vladimir A. Golovko; Vitaliy Dorosh; Anatoliy Sachenko (DSMP, 2018)

A human-like visual-attention-based artificial vision system for wildland firefighting assistance. - Kurosh Madani; Viachaslau Kachurka; Christophe Sabourin; Véronique Amarger; Vladimir A. Golovko; Lucile Rossi (Appl. Intell., 2018)

Artificial Intelligence for Sport Activitity Recognition. - Sergei V. Bezobrazov; Andrei Sheleh; Sergei Kislyuk; Vladimir A. Golovko; Anatoliy Sachenko; Myroslav Komar; Vitaliy Dorosh; Volodymyr Turchenko (IDAACS, 2019)

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)

A soft-computing-based approach to artificial visual attention using human eye-fixation paradigm: toward a human-like skill in robot vision. - Kurosh Madani; Viachaslau Kachurka; Christophe Sabourin; Vladimir A. Golovko (Soft Comput., 2019)

Deep multilayer Neural Network for Predicting the Winner of Football Matches. - Sergei Anfilets; Sergei V. Bezobrazov; Vladimir A. Golovko; Anatoliy Sachenko; Myroslav Komar; Raman Dolny; Valery Kasyanik; Pavlo Bykovyy; Egor Mikhno; Oleksandr Osolinskyi (Int. J. Comput., 2020)

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)

Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks. - Vladimir A. Golovko; Egor Mikhno; Aliaksandr Kroschanka; Marta Chodyka; Piotr Lichograj (IJCNN, 2023)