V. Golovko

发表

Open Semantic Technologies for Intelligent System: 10th International Conference, OSTIS 2020, Minsk, Belarus, February 19–22, 2020, Revised Selected Papers

T. Washio, D. Ślęzak, Simone Diniz Junqueira Barbosa, 2020 .

Neural Networks for Signal Processing in Measurement Analysis and Industrial Applications : the Case of Chaotic Signal Processing

V. Golovko, Y. Savitsky, N. Maniakov, 2002 .

A Statistical Approach to Human-Like Visual Attention and Saliency Detection for Robot Vision: Application to Wildland Fires’ Detection

K. Madani, C. Sabourin, V. Golovko, 2014 .

3 PARALLEL IMPLEMENTATION OF BATCH PATTERN BP TRAINING ALGORITHM OF RCNN

A. Sachenko, V. Turchenko, V. Golovko, 2014 .

Control Algorithms for the Mobile Robot “MAX” on a Task of Line Following Provided by Intelligent Image Processing

V. Golovko, D. Kaliukhovich, A. Paczynski, 2009 .

A soft-computing-based approach to artificial visual attention using human eye-fixation paradigm: toward a human-like skill in robot vision

K. Madani, C. Sabourin, V. Golovko, 2017, Soft Computing.

The nature of unsupervised learning in deep neural networks: A new understanding and novel approach

V. Golovko, A. Kroshchanka, D. Treadwell, 2016, Optical Memory and Neural Networks.

Parallel Batch Pattern Training of Recirculation Neural Network

Volodymyr Turchenko, Vladimir A. Golovko, Anatoly Sachenko, 2016, ICINCO.

Deep learning classifier based on NPCA and orthogonal feature selection

Uladzimir Dziomin, Vladimir Golovko, Stanisław Jankowski, 2016, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

Neural Network Artificial Immune System for Malicious Code Detection

Sergei Bezobrazov, Sergei V. Bezobrazov, Vladimir Golovko, 2010 .

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

Vladimir A. Golovko, Sergei V. Bezobrazov, Pavel Kachurka, 2010, Advances in Machine Learning II.

Employment of neural network based classifier for intrusion detection

L. Vaitsekhovich, V. Golovko, V. Golovko, 2008 .

Joint Conference on Neural Networks , Orlando , Florida , USA , August 12-17 , 2007 Dimensionality Reduction and Attack Recognition using Neural Network Approaches

Vladimir A. Golovko, Leanid U. Vaitsekhovich, U. S. Rubanau, 2007 .

Dimensionality Reduction andAttack Recognition using Neural NetworkApproaches

Vladimir A. Golovko, V. Golovko, 2007 .

NEURAL NETWORK APPROACHES FOR INTRUSION DETECTION AND RECOGNITION

Vladimir Golovko, L. Vaitsekhovich, V. Golovko, 2006 .

Neural Network Approach for Semantic Coding of Words

Anatoliy Sachenko, Vladimir Golovko, Alexander Kroshchanka, 2019, ISDMCI.

Intrusion Detection in TCP/IP Networks Using Immune Systems Paradigm and Neural Network Detectors

Vladimir Golovko, Leanid U. Vaitsekhovich, V. Golovko, 2009 .

Intrusion Recognition Using Neural Networks

V. Golovko, P. Kochurko, V. Golovko, 2005, 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.

A human-like visual-attention-based artificial vision system for wildland firefighting assistance

K. Madani, C. Sabourin, V. Golovko, 2018, Applied Intelligence.

Artificial Intelligence Standardization Is a Key Challenge for the Technologies of the Future

Vladimir V. Golenkov, Natalia A. Guliakina, Vladimir Golovko, 2020 .

Neural Networks for Artificial Immune Systems: LVQ for Detectors Construction

V. Golovko, S. Bezobrazov, V. Golovko, 2007, 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.

Application of Neural Networks to the Electroencephalogram Analysis for Epilepsy Detection

Vladimir A. Golovko, Sergei V. Bezobrazov, Svetlana V. Bezobrazova, 2007, 2007 International Joint Conference on Neural Networks.

Estimation of the Lyapunov spectrum from one-dimensional observations using neural networks

V. Golovko, V. Golovko, Vladimir Golovko, 2003, Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings.

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

Vladimir A. Golovko, Myroslav Komar, Anatoly Sachenko, 2013, 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS).

Intelligent system for detection of networking intrusion

Vladimir A. Golovko, Myroslav Komar, Anatoly Sachenko, 2011, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems.

Artificial Intelligence for Sport Activitity Recognition

Anatoliy Sachenko, Volodymyr Turchenko, Sergei Bezobrazov, 2019, 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

DEEP MULTILAYER NEURAL NETWORK FOR PREDICTING THE WINNER OF FOOTBALL MATCHES

Anatoliy Sachenko, Sergei Bezobrazov, Oleksandr Osolinskyi, 2020, International Journal of Computing.

A Shallow Convolutional Neural Network for Accurate Handwritten Digits Classification

Anatoliy Sachenko, Vladimir Golovko, Mikhno Egor, 2016, ICPR 2016.

Deep learning: an overview and main paradigms

V. Golovko, 2016, Optical Memory and Neural Networks.

INTRUSION RECOGNITION USING NEURAL NETWORKS

Pavel A. Kochurko, V. Golovko, 2014 .

Technique of learning rate estimation for efficient training of MLP

Lucio Grandinetti, Theodore Laopoulos, Vladimir A. Golovko, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Neural network model for transient ischemic attacks diagnostics

V. Golovko, Henadzi Vaitsekhovich, E. Apanel, 2012, Optical Memory and Neural Networks.

Artificial Intelligence Methods in Diagnosis of Ischemic Stroke Diseases

Henadzi Vaitsekhovich, Vladimir Golovko, V. Golovko, 2013 .

Neural Networks in Ischemic Strokes Diagnostics

Henadzi Vaitsekhovich, Vladimir Golovko, V. Golovko, 2012 .

Development of Solar Panels Detector

Anatoliy Sachenko, Vladimir Golovko, Alexander Kroshchanka, 2018, 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T).

Convolutional neural network based solar photovoltaic panel detection in satellite photos

Vladimir A. Golovko, Alexander Kroshchanka, Myroslav Komar, 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

TOWARDS AUTOMATIC EPILEPTIC SEIZURE DETECTION IN EEGS BASED ON NEURAL NETWORKS AND LARGEST LYAPUNOV EXPONENT

Vladimir Golovko, Svetlana Artsiomenka, Volha Kisten, 2014 .

A soft-computing-based approach to artificial visual attention using human eye-fixation paradigm: toward a human-like skill in robot vision

Kurosh Madani, Vladimir A. Golovko, Christophe Sabourin, 2017, Soft Computing.

The standardization of intelligent computer systems as a key challenge of the current stage of development of artiﬁcial intelligence technologies

V. A. Golovko, В. В. Краснопрошин, V. V. Krasnoproshin, 2020 .

Compression of network traffic parameters for detecting cyber attacks based on deep learning

Anatoliy Sachenko, Vladimir Golovko, Myroslav Komar, 2018, 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT).