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Author

Michał Szczepankiewicz

Observed names: Michal Szczepankiewicz, Szczepankiewicz Michal
OpenAlex ID: A5073959967
Ground truth based comparison of saliency maps algorithms
2023 · Karolina Szczepankiewicz, Adam Popowicz, et al. · Scientific Reports · 49
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Organization of machine learning based product development as per ISO 26262 and ISO/PAS 21448
2020 · Krystian Radlak, Michal Szczepankiewicz, et al. · IEEE Pacific Rim International Symposium on Dependable Computing (PRDC) · 27
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Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns
2023 · Bartłomiej Olber, Krystian Radlak, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 19
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Defending against sparse adversarial attacks using impulsive noise reduction filters
2021 · Krystian Radlak, Michal Szczepankiewicz, et al. · Real-Time Image Processing and Deep Learning · 5
Cognitive systems in electronic warfare
2017 · Krzysztof Kulpa, Michał Szczepankiewicz, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 5
Combating Label Noise in Image Data Using MultiNET Flexible Confident Learning
2022 · Adam Popowicz, Krystian Radlak, et al. · Applied Sciences · 4
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Passive Radar Parallel Processing Using General-Purpose Computing on Graphics Processing Units
2015 · Karolina Szczepankiewicz, Mateusz Malanowski, et al. · International Journal of Electronics and Telecommunications · 4
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Effective implementation of passive radar algorithms using general-purpose computing on graphics processing units
2015 · Karolina Szczepankiewicz, Mateusz Malanowski, et al. · Signal Processing Symposium (SPSympo) · 4
Organization of ML-based product development as per ISO 26262
2019 · Krystian Radlak, Piotr Serwa, et al. · arXiv (Cornell University) · 2
A concept of multi-rate processing for passive radar
2017 · Marcin Zywek, Mateusz Malanowski, et al. · International Radar Symposium · 2
Risk Analysis of One-Pixel Image Defects in Safety-Critical Deep Neural Networks
2025 · Krystian Radlak, Adam Popowicz, et al. · Lecture notes in computer science
Improving the detection of noisy labels in image datasets using modified Confidence Learning
2022 · Adam Popowicz, Krystian Radlak, et al. · International Conference on Methods and Models in Automation and Robotics
Testing and Verification of the Deep Neural Networks Against Sparse Pixel Defects
2022 · Michal Szczepankiewicz, Krystian Radlak, et al. · Lecture notes in computer science
Iso26262およびiso/pas21448としての機械学習ベースの製品開発の構成【jst・京大機械翻訳】
2020 · Radlak Krystian, Szczepankiewicz Michal, et al. · IEEE Conference Proceedings
Conan — Distributed software environment dedicated to numerical computing
2015 · Michal Szczepankiewicz, Mateusz Malanowski, et al. · Signal Processing Symposium (SPSympo)
Works count: 15
Citation count: 121
H-index: 5
I10-index: 3
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