dr hab. inż. Joanna Domańska

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0000-0002-1935-8358

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Publikacje
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2024

1. Filus, K., and J. Domańska, "Similarity-driven adversarial testing of neural networks", Knowledge-Based Systems, In Press, 2024.
2. Filus, K., J. Domańska, and J. Klamka, "Evaluating Convolutional Neural Networks via measuring similarity of their first-layer filters and Gabor filters", 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, In Press, 2024.
3. Filus, K., and J. Domańska, "Extracting coarse-grained classifiers from large Convolutional Neural Networks", Engineering Applications of Artificial Intelligence, In Press, 2024.
4. Siavvas, M., D. Tsoukalas, C. Marantos, L. Papadopoulos, C. Lamprakos, O. Matei, C. Strydis, M. Ali Siddiqi, P. Chrobocinski, K. Filus, et al., "SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software", Automated Software Engineering, 2024.

2023

5. 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.
6. Filus, K., and J. Domańska, "NetSat: Network Saturation Adversarial Attack", IEEE International Conference on Big Data (IEEE BigData 2023), Sorrento, Italy, 2023.
7. 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.
8. 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.
9. 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.
10. Filus, K., and J. Domańska, "Global Entropy Pooling Layer for Convolutional Neural Networks", Neurocomputing, vol. 555, 2023.
11. Filus, K., and J. Domańska, "Software Vulnerabilities in TensorFlow-Based Deep Learning Applications", Computers & Security, vol. 124, 10/2022, 2023.

2022

12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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

20. Marek, D., A. Domański, J. Domańska, T. Czachórski, J. Klamka, and J. Szyguła, "Combined diffusion approximation - simulation model of AQM’s transient behaviour", Computer Communications, vol. 166, 01/2021.  (3.58 MB)
21. Szyguła, J., A. Domański, J. Domańska, T. Czachórski, J. Klamka, and D. Marek, "The IoT Gateway with Active Queue Management", International Journal of Applied Mathematics and Computer Science (AMCS), vol. 31, issue 1, 2021.
22. 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)
23. 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)
24. Marek, D., A. Domański, J. Domańska, J. Szyguła, T. Czachórski, and J. Klamka, "Diffusion model of a non-integer order PIγ controller with TCP/UDP streams", Entropy, vol. 23, 05/2021.
25. 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.

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Data aktualizacji: 01/08/2023 - 12:42; autor zmian: Łukasz Zimny (lzimny@iitis.pl)