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Vladimir A. Golovko
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2020 – today
- 2023
- [c27]Aliaksandr Kroshchanka, Vladimir A. Golovko
, Shi Peiwen, Zofia Lubanska:
Unsupervised Pre-Training of Deep Neural Classifiers. IDAACS 2023: 1083-1087 - [c26]Vladimir A. Golovko
Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks. IJCNN 2023: 1-6 - 2021
- [c25]Aliaksandr Kroshchanka, Vladimir A. Golovko
The Reduction of Fully Connected Neural Network Parameters Using the Pre-training Technique. IDAACS 2021: 937-941 - 2020
- [j15]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: 70-77 (2020)
2010 – 2019
- 2019
- [j14]Kurosh Madani, Viachaslau Kachurka
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): 2369-2389 (2019) - [c24]Sergei V. Bezobrazov, Andrei Sheleh, Sergei Kislyuk, Vladimir A. Golovko
Artificial Intelligence for Sport Activitity Recognition. IDAACS 2019: 628-632 - [c23]Vladimir A. Golovko
Neural Network Approach for Semantic Coding of Words. ISDMCI 2019: 647-658 - [c22]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: 297-306 - 2018
- [j13]Kurosh Madani, Viachaslau Kachurka
A human-like visual-attention-based artificial vision system for wildland firefighting assistance. Appl. Intell. 48(8): 2157-2179 (2018) - [c21]Myroslav Komar, Pavlo Yakobchuk, Vladimir A. Golovko
Deep Neural Network for Image Recognition Based on the Caffe Framework. DSMP 2018: 102-106 - 2017
- [c20]Vladimir A. Golovko
Convolutional neural network based solar photovoltaic panel detection in satellite photos. IDAACS 2017: 14-19 - [c19]Myroslav Komar, Volodymyr Kochan, Lesia Dubchak
High performance adaptive system for cyber attacks detection. IDAACS 2017: 853-858 - 2016
- [c18]Myroslav Komar
Intelligent Cyber Defense System Using Artificial Neural Network and Immune System Techniques. ICTERI (Revised Selected Papers) 2016: 36-55 - [c17]Myroslav Komar, Anatoliy Sachenko, Sergei V. Bezobrazov, Vladimir A. Golovko:
Intelligent Cyber Defense System. ICTERI 2016: 534-549 - [c16]Vladimir A. Golovko, Aliaksandr Kroshchanka:
Theoretical Notes on Unsupervised Learning in Deep Neural Networks. IJCCI (NCTA) 2016: 91-96 - 2015
- [j12]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): 36-47 (2015) - [c15]Vladimir A. Golovko
A new technique for restricted Boltzmann machine learning. IDAACS 2015: 182-186 - [c14]Viachaslau Kachurka
Visual saliency based approach to object detection in computer vision systems: Real life applications. IDAACS 2015: 239-244 - [c13]Viachaslau Kachurka
From Human Eye Fixation to Human-like Autonomous Artificial Vision. IWANN (1) 2015: 171-184 - 2014
- [c12]Volodymyr Turchenko
Parallel batch pattern training algorithm for deep neural network. HPCS 2014: 697-702 - 2013
- [c11]Myroslav Komar
Development of neural network immune detectors for computer attacks recognition and classification. IDAACS 2013: 665-668 - [c10]Uladzimir Dziomin, Anton Kabysh, Vladimir A. Golovko
A multi-agent reinforcement learning approach for the efficient control of mobile robot. IDAACS 2013: 867-873 - 2012
- [j11]Anton Kabysh, Vladimir A. Golovko, Arunas Lipnickas:
Influence Learning for Multi-Agent System based on Reinforcement Learning. Int. J. Comput. 11(1): 39-44 (2012) - [j10]Anton Kabysh, Vladimir A. Golovko:
General Model for Organizing Interactions in Multi-Agent Systems. Int. J. Comput. 11(3): 224-233 (2012) - [j9]Pavel Kachurka, Vladimir A. Golovko:
Fusion of recirculation Neural Networks for Real-Time Network Intrusion Detection and Recognition. Int. J. Comput. 11(4): 383-390 (2012) - [c9]Volodymyr Turchenko, Vladimir A. Golovko, Anatoly Sachenko:
Parallel Batch Pattern Training of Recirculation Neural Network. ICINCO (1) 2012: 644-650 - 2011
- [c8]Myroslav Komar
Intelligent system for detection of networking intrusion. IDAACS (1) 2011: 374-377 - [c7]Pavel Kachurka, Vladimir A. Golovko
Neural network approach to real-time network intrusion detection and recognition. IDAACS (1) 2011: 393-397 - [c6]Vladimir A. Golovko
Evolution of immune detectors in intelligent security system for malware detection. IDAACS (2) 2011: 722-726 - 2010
- [p1]Vladimir A. Golovko
Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection. Advances in Machine Learning II 2010: 485-513
2000 – 2009
- 2008
- [j8]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): 44-50 (2008) - [j7]Svetlana V. Bezobrazova, Vladimir A. Golovko:
Neural-Network Segmentation of electroencephalogram signals for epileptiform Activity Detection. Int. J. Comput. 7(3): 30-37 (2008) - [j6]Vladimir A. Golovko, Leanid U. Vaitsekhovich:
Implementation of Neural Networks and Boosting Algorithms for Effective Intrusion Detection. Int. J. Comput. 7(3): 66-71 (2008) - 2007
- [c5]Vladimir A. Golovko
Application of Neural Networks to the Electroencephalogram Analysis for Epilepsy Detection. IJCNN 2007: 2707-2711 - [c4]Vladimir A. Golovko
Dimensionality Reduction and Attack Recognition using Neural Network Approaches. IJCNN 2007: 2734-2739 - 2006
- [j5]Vladimir A. Golovko, Leanid U. Vaitsekhovich:
Neural Network Approaches for Intrusion Detection and Recognition. Int. J. Comput. 5(3): 118-125 (2006) - 2005
- [j4]Vladimir A. Golovko, Pavel A. Kochurko:
Intrusion Recognition using Neural Networks. Int. J. Comput. 4(3): 37-42 (2005) - 2004
- [j3]Vladimir A. Golovko, Yury Savitsky:
Computing of Lyapunov exponents Techniques using Neural Networks. Int. J. Comput. 3(1): 93-98 (2004) - 2003
- [j2]Vladimir A. Golovko:
Estimation of the Lyapunov spectrum from One-dimensional observations using Neural Networks. Int. J. Comput. 2(2): 30-34 (2003) - [c3]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: 306-315 - 2002
- [j1]Vladimir A. Golovko, Yury Savitsky:
нейросетевой подход определения показателей ляпупова для хаотических процессов. Int. J. Comput. 1(1): 82-88 (2002) - 2000
- [c2]Vladimir A. Golovko, Yury Savitsky, Anatoly Sachenko, Theodore Laopoulos, Lucio Grandinetti:
Technique of Learning Rate Estimation for Efficient Training of MLP. IJCNN (1) 2000: 323-330 - [c1]Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turchenko, Vladimir A. Golovko, Yury Savitsky, A. Dunets, Theodore Laopoulos:
Sensor Errors Prediction Using Neural Networks. IJCNN (4) 2000: 441-448
Coauthor Index
aka: Anatoliy Sachenko
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