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Publications in Math-Net.Ru |
Citations |
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2023 |
1. |
A. I. Get'man, M. N. Goryunov, A. G. Matskevich, D. A. Rybolovlev, A. G. Nikolskaya, “Deep learning applications for intrusion detection in network traffic”, Proceedings of ISP RAS, 35:4 (2023), 65–92 |
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2022 |
2. |
A. I. Get'man, M. N. Goryunov, A. G. Matskevich, D. A. Rybolovlev, “A comparison of a machine learning-based intrusion detection system and signature-based systems”, Proceedings of ISP RAS, 34:5 (2022), 111–126 |
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2021 |
3. |
A. I. Get'man, M. N. Goryunov, A. G. Matskevich, D. A. Rybolovlev, “Methodology for collecting a training dataset for an intrusion detection model”, Proceedings of ISP RAS, 33:5 (2021), 83–104 |
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2020 |
4. |
M. N. Goryunov, A. G. Matskevich, D. A. Rybolovlev, “Synthesis of a machine learning model for detecting computer attacks based on the CICIDS2017 dataset”, Proceedings of ISP RAS, 32:5 (2020), 81–94 |
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2014 |
5. |
A. G. Matskevich, “Declarative knowledge structures in problem-oriented systems of artificial intelligence”, Inform. Primen., 8:2 (2014), 122–129 |
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2012 |
6. |
I. P. Kuznetsov, M. M. Sharnin, A. G. Matskevich, “Intellectual mechanisms for semantic searching in Internet”, Sistemy i Sredstva Inform., 22:2 (2012), 129–145 |
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2011 |
7. |
N. V. Somin, I. P. Kuznetsov, V. G. Nikolaev, N. S. Solovyeva, A. G. Matskevich, “Methods to eliminate uncertainty of lexical-morphological analysis in process of knowledge extraction fromnatural language texts”, Sistemy i Sredstva Inform., 21:2 (2011), 97–115 |
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2009 |
8. |
N. V. Somin, I. P. Kuznetsov, A. G. Matskevich, V. G. Nikolaev, “The methods and tools of tuning the block of morphological analysis to subject fields”, Sistemy i Sredstva Inform., 2009, no. 19, 96–118 |
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Organisations |
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