mgr inż. Katarzyna Filus

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Orcid ID: 

0000-0003-1303-9230

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asystent
Zespół badawczy

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104

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Publikacje
Biblio RSS

2023

1. Sobczak, Ł., K. Filus, M. Halama, and J. Domańska, "Visual examination of relations between known classes for deep neural network classifiers.", 2023 IEEE International Conference on Big Data, Sorrento, Italy, 01/2024, 2023.
2. Filus, K., and J. Domańska, "NetSat: Network Saturation Adversarial Attack", IEEE International Conference on Big Data (IEEE BigData 2023), Sorrento, Italy, 2023.
3. Halama, M., K. Filus, and J. Domańska, "Robust category recognition based on deep templates for educational mobile applications", 2023 IEEE International Conference on Big Data, Sorrento, Italy, IEEE International Conference on Big Data, 01/2024, 2023.
4. Kelesoglu, N., K. Filus, and J. Domańska, "HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications", 2023 IEEE International Conference on Big Data, Sorrento, Italy , IEEE, 01/2024, 2023.
5. Filus, K., and J. Domańska, "Recycling of Generic ImageNet-trained Models for Smart-city Applications", The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, IEEE, 2023.
6. Filus, K., and J. Domańska, "Global Entropy Pooling Layer for Convolutional Neural Networks", Neurocomputing, vol. 555, 2023.
7. Filus, K., and J. Domańska, "Software Vulnerabilities in TensorFlow-Based Deep Learning Applications", Computers & Security, vol. 124, 10/2022, 2023.

2022

8. Marek, D., A. Domański, J. Domańska, J. Szyguła, T. Czachórski, J. Klamka, and K. Filus, "Approximation Models for the Evaluation of TCP/AQM Networks", Bulletin of the Polish Academy of Sciences, Technical Sciences (BPASTS), vol. 70, issue 4, 2022.
9. Filus, K., Ł. Sobczak, J. Domańska, A. Domański, and R. Cupek, "Real-time testing of vision-based systems for AGVs with ArUco markers", IEEE International Conference on Big Data, Osaka, 17-20 December, 2022, IEEE, 2022.
10. Sobczak, Ł., K. Filus, J. Domańska, and A. Domański, "Building a real-time testing platform for unmanned ground vehicles with UDP Bridge", Sensors, vol. 22, issue 21, 2022.
11. Sobczak, Ł., K. Filus, J. Domańska, and A. Domański, "Finding the best hardware configuration for 2D SLAM in indoor environments via simulation based on Google Cartographer", Scientific Reports, vol. 12, 2022.
12. Filus, K., and J. Domańska, "NAM: What Does a Neural Network See?", International Joint Conference on Neural Networks (IJCNN 2022), IEEE WCCI 2022, Padova, 18-23 July, 2022, IEEE, 2022.
13. Marek, D., J. Szyguła, A. Domański, J. Domańska, K. Filus, and M. Szczygieł, "Adaptive Hurst-Sensitive Active Queue Management", Entropy, vol. 24, issue 3, 2022.
14. Filus, K., S. Nowak, J. Domańska, and J. Duda, "Cost-Effective Filtering of Unreliable Proximity Detection Results Based on BLE RSSI and IMU Readings Using Smartphones", Scientific Reports, vol. 12, issue 1, 2022.
15. Marantos, C., M. Siavvas, D. Tsoukalas, C. P. Lamprakos, L. Papadopoulos, P. Boryszko, K. Filus, J. Domańska, A. Ampatzoglou, A. Chatzigeorgiou, et al., "SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications", 25th Design, Automation and Test in Europe Conference, Belgium, 03/2022.

2021

16. Szyguła, J., A. Domański, J. Domańska, D. Marek, K. Filus, and S. Mendla, "Supervised learning of Neural Networks for Active Queue Management in the Internet", Sensors, vol. 21(15), issue Special Issue "Mathematical Modelling and Analysis in Sensors Networks", 2021.
17. Sobczak, Ł., K. Filus, A. Domański, and J. Domańska, "LIDAR Point Cloud generation for SLAM algorithm evaluation", Sensors, vol. 21 (10), issue Special Issue: Advance in Sensors and Sensing Systems for Driving and Transportation: Part B, 2021.
18. Filus, K., P. Boryszko, J. Domańska, M. Siavvas, and E. Gelenbe, "Efficient Feature Selection for Static Analysis Vulnerability Prediction", Sensors, vol. 21 (4), issue Special Issue: Security and Privacy in Software Based Critical Contexts, 2021.  (1.37 MB)
19. Filus, K., J. Domańska, and E. Gelenbe, "Random Neural Network for Lightweight Attack Detection in the IoT", MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 79-91, 2021.  (336.06 KB)
20. Filus, K., M. Siavvas, J. Domańska, and E. Gelenbe, "The Random Neural Network as a Bonding Model for Software Vulnerability Prediction", Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 102-116, 2021.  (690.95 KB)

2020

21. Domański, A., J. Domańska, K. Filus, J. Szyguła, and T. Czachórski, "The self-similar markovian sources", Applied Sciences, vol. 10, issue 11, 2020.
22. Filus, K., A. Domański, J. Domańska, D. Marek, and J. Szyguła, "Long-Range Dependent Traffic Classification with Convolutional Neural Networks Based on Hurst Exponent Analysis", Entropy, vol. 22, issue 10, 2020.

Historia zmian

Data aktualizacji: 10/06/2022 - 10:42; autor zmian: Łukasz Zimny (lzimny@iitis.pl)