Vladimir A. Golovko

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 15

Top Topics

Adaptive Learning Rate

Unsupervised Learning

Top Venues

Int. J. Comput.

Publications

Vladimir A. Golovko, Egor Mikhno, Aliaksandr Kroschanka, Marta Chodyka, Piotr Lichograj
Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks. IJCNN (2023)
Aliaksandr Kroshchanka, Vladimir A. Golovko, Shi Peiwen, Zofia Lubanska
Unsupervised Pre-Training of Deep Neural Classifiers. IDAACS (2023)
Aliaksandr Kroshchanka, Vladimir A. Golovko
The Reduction of Fully Connected Neural Network Parameters Using the Pre-training Technique. IDAACS (2021)
Sergei Anfilets, Sergei V. Bezobrazov, Vladimir A. Golovko, Anatoliy Sachenko, Myroslav Komar, Raman Dolny, Valery Kasyanik, Pavlo Bykovyy, Egor Mikhno, Oleksandr Osolinskyi
Deep multilayer Neural Network for Predicting the Winner of Football Matches. Int. J. Comput. 19 (2020)
Vladimir A. Golovko, Aliaksandr Kroshchanka, Egor Mikhno, Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Inna Shylinska
Deep Convolutional Neural Network for Recognizing the Images of Text Documents. MoMLeT (2019)
Sergei V. Bezobrazov, Andrei Sheleh, Sergei Kislyuk, Vladimir A. Golovko, Anatoliy Sachenko, Myroslav Komar, Vitaliy Dorosh, Volodymyr Turchenko
Artificial Intelligence for Sport Activitity Recognition. IDAACS (2019)
Vladimir A. Golovko, Alexander Kroshchanka, Myroslav Komar, Anatoliy Sachenko
Neural Network Approach for Semantic Coding of Words. ISDMCI (2019)
Kurosh Madani, Viachaslau Kachurka, Christophe Sabourin, Vladimir A. Golovko
A soft-computing-based approach to artificial visual attention using human eye-fixation paradigm: toward a human-like skill in robot vision. Soft Comput. 23 (7) (2019)
Myroslav Komar, Pavlo Yakobchuk, Vladimir A. Golovko, Vitaliy Dorosh, Anatoliy Sachenko
Deep Neural Network for Image Recognition Based on the Caffe Framework. DSMP (2018)
Kurosh Madani, Viachaslau Kachurka, Christophe Sabourin, Véronique Amarger, Vladimir A. Golovko, Lucile Rossi
A human-like visual-attention-based artificial vision system for wildland firefighting assistance. Appl. Intell. 48 (8) (2018)
Myroslav Komar, Volodymyr Kochan, Lesia Dubchak, Anatoliy Sachenko, Vladimir A. Golovko, Sergei V. Bezobrazov, Ihor Romanets
High performance adaptive system for cyber attacks detection. IDAACS (2017)
Vladimir A. Golovko, Sergei V. Bezobrazov, Alexander Kroshchanka, Anatoliy Sachenko, Myroslav Komar, Andriy F. Karachka
Convolutional neural network based solar photovoltaic panel detection in satellite photos. IDAACS (2017)
Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Vladimir A. Golovko
Intelligent Cyber Defense System Using Artificial Neural Network and Immune System Techniques. ICTERI (Revised Selected Papers) (2016)
Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Vladimir A. Golovko
Intelligent Cyber Defense System. ICTERI (2016)
Vladimir A. Golovko, Aliaksandr Kroshchanka
Theoretical Notes on Unsupervised Learning in Deep Neural Networks. IJCCI (NCTA) (2016)
Viachaslau Kachurka, Kurosh Madani, Christophe Sabourin, Vladimir A. Golovko
Visual saliency based approach to object detection in computer vision systems: Real life applications. IDAACS (2015)
Vladimir A. Golovko, Aliaksandr Kroshchanka, Volodymyr Turchenko, Stanislaw Jankowski, Douglas Treadwell
A new technique for restricted Boltzmann machine learning. IDAACS (2015)
Viachaslau Kachurka, Kurosh Madani, Christophe Sabourin, Vladimir A. Golovko
From Human Eye Fixation to Human-like Autonomous Artificial Vision. IWANN (1) (2015)
Vladimir A. Golovko, Svetlana Artsiomenka, Volha Kisten, Victor Evstigneev
Towards Automatic epileptic seizure Detection in EEGs based on Neural Networks and largest Lyapunov Exponent. Int. J. Comput. 14 (1) (2015)
Volodymyr Turchenko, Vladimir A. Golovko
Parallel batch pattern training algorithm for deep neural network. HPCS (2014)
Uladzimir Dziomin, Anton Kabysh, Vladimir A. Golovko, Ralf Stetter
A multi-agent reinforcement learning approach for the efficient control of mobile robot. IDAACS (2013)
Myroslav Komar, Vladimir A. Golovko, Anatoly Sachenko, Sergei V. Bezobrazov
Development of neural network immune detectors for computer attacks recognition and classification. IDAACS (2013)
Anton Kabysh, Vladimir A. Golovko, Arunas Lipnickas
Influence Learning for Multi-Agent System based on Reinforcement Learning. Int. J. Comput. 11 (1) (2012)
Volodymyr Turchenko, Vladimir A. Golovko, Anatoly Sachenko
Parallel Batch Pattern Training of Recirculation Neural Network. ICINCO (1) (2012)
Anton Kabysh, Vladimir A. Golovko
General Model for Organizing Interactions in Multi-Agent Systems. Int. J. Comput. 11 (3) (2012)
Pavel Kachurka, Vladimir A. Golovko
Fusion of recirculation Neural Networks for Real-Time Network Intrusion Detection and Recognition. Int. J. Comput. 11 (4) (2012)
Pavel Kachurka, Vladimir A. Golovko
Neural network approach to real-time network intrusion detection and recognition. IDAACS (1) (2011)
Myroslav Komar, Vladimir A. Golovko, Anatoly Sachenko, Sergei V. Bezobrazov
Intelligent system for detection of networking intrusion. IDAACS (1) (2011)
Vladimir A. Golovko, Sergei V. Bezobrazov, Vasilii Melianchuk, Myroslav Komar
Evolution of immune detectors in intelligent security system for malware detection. IDAACS (2) (2011)
Svetlana V. Bezobrazova, Vladimir A. Golovko
Neural-Network Segmentation of electroencephalogram signals for epileptiform Activity Detection. Int. J. Comput. 7 (3) (2008)
Vladimir A. Golovko, Leanid U. Vaitsekhovich
Implementation of Neural Networks and Boosting Algorithms for Effective Intrusion Detection. Int. J. Comput. 7 (3) (2008)
Sergei V. Bezobrazov, Vladimir A. Golovko
Artificial Immune Systems Approach for Malware Detection: Neural Networks Applying for Immune detectors Construction. Int. J. Comput. 7 (2) (2008)
Vladimir A. Golovko, Leanid U. Vaitsekhovich, Pavel A. Kochurko, Uladzimir S. Rubanau
Dimensionality Reduction and Attack Recognition using Neural Network Approaches. IJCNN (2007)
Vladimir A. Golovko, Svetlana V. Bezobrazova, Sergei V. Bezobrazov, Uladzimir S. Rubanau
Application of Neural Networks to the Electroencephalogram Analysis for Epilepsy Detection. IJCNN (2007)
Vladimir A. Golovko, Leanid U. Vaitsekhovich
Neural Network Approaches for Intrusion Detection and Recognition. Int. J. Comput. 5 (3) (2006)
Vladimir A. Golovko, Pavel A. Kochurko
Intrusion Recognition using Neural Networks. Int. J. Comput. 4 (3) (2005)
Vladimir A. Golovko, Yury Savitsky
Computing of Lyapunov exponents Techniques using Neural Networks. Int. J. Comput. 3 (1) (2004)
Vladimir A. Golovko
Estimation of the Lyapunov spectrum from One-dimensional observations using Neural Networks. Int. J. Comput. 2 (2) (2003)
Vasyl Koval, Volodymyr Turchenko, Anatoly Sachenko, José Antonio Becerra, Richard J. Duro, Vladimir A. Golovko
Infrared Sensor Data Correction for Local Area Map Construction by a Mobile Robot. IEA/AIE (2003)
Vladimir A. Golovko, Yury Savitsky
нейросетевой подход определения показателей ляпупова для хаотических процессов. Int. J. Comput. 1 (1) (2002)
Vladimir A. Golovko, Yury Savitsky, Anatoly Sachenko, Theodore Laopoulos, Lucio Grandinetti
Technique of Learning Rate Estimation for Efficient Training of MLP. IJCNN (1) (2000)
Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turchenko, Vladimir A. Golovko, Yury Savitsky, A. Dunets, Theodore Laopoulos
Sensor Errors Prediction Using Neural Networks. IJCNN (4) (2000)