17 citations · 25 across the 5 of their papers we have counts for
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cs.CV2024★ 1 cited
Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on raw data packets
Aleksander Ogonowski, Michał Żebrowski, Arkadiusz Ćwiek +5
Most of the intrusion detection methods in computer networks are based on traffic flow characteristics. However, this approach may not fully exploit the potential of deep learning…
eess.IV2024★ 7 cited
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification
Oleksandr Fedoruk, Konrad Klimaszewski, Aleksander Ogonowski +1
The availability of training data is one of the main limitations in deep learning applications for medical imaging. Data augmentation is a popular approach to overcome this problem…