Vladimir A. Golovko

According to our database, Vladimir A. Golovko authored at least 43 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks.

Vladimir A. Golovko, Egor Mikhno, Aliaksandr Kroschanka, Marta Chodyka, Piotr Lichograj

Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised Pre-Training of Deep Neural Classifiers.

Aliaksandr Kroshchanka, Vladimir A. Golovko, Shi Peiwen, Zofia Lubanska

Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

2021

The Reduction of Fully Connected Neural Network Parameters Using the Pre-training Technique.

Aliaksandr Kroshchanka, Vladimir A. Golovko

Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

2020

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

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 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

Proceedings of the Modern Machine Learning Technologies, 2019

Neural Network Approach for Semantic Coding of Words.

Vladimir A. Golovko, Alexander Kroshchanka, Myroslav Komar, Anatoliy Sachenko

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Artificial Intelligence for Sport Activitity Recognition.

Sergei V. Bezobrazov, Andrei Sheleh, Sergei Kislyuk, Vladimir A. Golovko, Anatoliy Sachenko, Myroslav Komar, Vitaliy Dorosh, Volodymyr Turchenko

Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

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

Deep Neural Network for Image Recognition Based on the Caffe Framework.

Myroslav Komar, Pavlo Yakobchuk, Vladimir A. Golovko, Vitaliy Dorosh, Anatoliy Sachenko

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

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

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

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

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2016

Theoretical Notes on Unsupervised Learning in Deep Neural Networks.

Vladimir A. Golovko, Aliaksandr Kroshchanka

Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Intelligent Cyber Defense System Using Artificial Neural Network and Immune System Techniques.

Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Vladimir A. Golovko

Proceedings of the Information and Communication Technologies in Education, Research, and Industrial Applications, 2016

Intelligent Cyber Defense System.

Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Vladimir A. Golovko

Proceedings of the 12th International Conference on ICT in Education, 2016

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

From Human Eye Fixation to Human-like Autonomous Artificial Vision.

Viachaslau Kachurka, Kurosh Madani, Christophe Sabourin, Vladimir A. Golovko

Proceedings of the Advances in Computational Intelligence, 2015

Visual saliency based approach to object detection in computer vision systems: Real life applications.

Viachaslau Kachurka, Kurosh Madani, Christophe Sabourin, Vladimir A. Golovko

Proceedings of the IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2015

A new technique for restricted Boltzmann machine learning.

Vladimir A. Golovko, Aliaksandr Kroshchanka, Volodymyr Turchenko, Stanislaw Jankowski, Douglas Treadwell

Proceedings of the IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2015

2014

Parallel batch pattern training algorithm for deep neural network.

Volodymyr Turchenko, Vladimir A. Golovko

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

2013

Development of neural network immune detectors for computer attacks recognition and classification.

Myroslav Komar, Vladimir A. Golovko, Anatoly Sachenko, Sergei V. Bezobrazov

Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

A multi-agent reinforcement learning approach for the efficient control of mobile robot.

Uladzimir Dziomin, Anton Kabysh, Vladimir A. Golovko, Ralf Stetter

Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

2012

Fusion of recirculation Neural Networks for Real-Time Network Intrusion Detection and Recognition.

Pavel Kachurka, 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

General Model for Organizing Interactions in Multi-Agent Systems.

Anton Kabysh, Vladimir A. Golovko

Int. J. Comput., 2012

Parallel Batch Pattern Training of Recirculation Neural Network.

Volodymyr Turchenko, Vladimir A. Golovko, Anatoly Sachenko

Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Rome, Italy, 28, 2012

2011

Intelligent system for detection of networking intrusion.

Myroslav Komar, Vladimir A. Golovko, Anatoly Sachenko, Sergei V. Bezobrazov

Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

Neural network approach to real-time network intrusion detection and recognition.

Pavel Kachurka, Vladimir A. Golovko

Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

Evolution of immune detectors in intelligent security system for malware detection.

Vladimir A. Golovko, Sergei V. Bezobrazov, Vasilii Melianchuk, Myroslav Komar

Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

2010

Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection.

Vladimir A. Golovko, Sergei V. Bezobrazov, Pavel Kachurka, Leanid U. Vaitsekhovich

Proceedings of the Advances in Machine Learning II, 2010

2008

Implementation of Neural Networks and Boosting Algorithms for Effective Intrusion Detection.

Vladimir A. Golovko, Leanid U. Vaitsekhovich

Int. J. Comput., 2008

Neural-Network Segmentation of electroencephalogram signals for epileptiform Activity Detection.

Svetlana V. Bezobrazova, Vladimir A. Golovko

Int. J. Comput., 2008

Artificial Immune Systems Approach for Malware Detection: Neural Networks Applying for Immune detectors Construction.

Sergei V. Bezobrazov, Vladimir A. Golovko

Int. J. Comput., 2008

2007

Dimensionality Reduction and Attack Recognition using Neural Network Approaches.

Vladimir A. Golovko, Leanid U. Vaitsekhovich, Pavel A. Kochurko, Uladzimir S. Rubanau

Proceedings of the International Joint Conference on Neural Networks, 2007

Application of Neural Networks to the Electroencephalogram Analysis for Epilepsy Detection.

Vladimir A. Golovko, Svetlana V. Bezobrazova, Sergei V. Bezobrazov, Uladzimir S. Rubanau

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Neural Network Approaches for Intrusion Detection and Recognition.

Vladimir A. Golovko, Leanid U. Vaitsekhovich

Int. J. Comput., 2006

2005

Intrusion Recognition using Neural Networks.

Vladimir A. Golovko, Pavel A. Kochurko

Int. J. Comput., 2005

2004

Computing of Lyapunov exponents Techniques using Neural Networks.

Vladimir A. Golovko, Yury Savitsky

Int. J. Comput., 2004

2003

Estimation of the Lyapunov spectrum from One-dimensional observations using Neural Networks.

Vladimir A. Golovko

Int. J. Comput., 2003

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

Proceedings of the Developments in Applied Artificial Intelligence, 2003

2002

нейросетевой подход определения показателей ляпупова для хаотических процессов.

Vladimir A. Golovko, Yury Savitsky

Int. J. Comput., 2002

2000

Sensor Errors Prediction Using Neural Networks.

Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turchenko, Vladimir A. Golovko, Yury Savitsky, A. Dunets, Theodore Laopoulos

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Technique of Learning Rate Estimation for Efficient Training of MLP.

Vladimir A. Golovko, Yury Savitsky, Anatoly Sachenko, Theodore Laopoulos, Lucio Grandinetti

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000