Filus K, Domańska J.  In Press.  Global Entropy Pooling Layer for Convolutional Neural Networks. Neurocomputing.

Filus K, Domańska J.  2023.  Software Vulnerabilities in TensorFlow-Based Deep Learning Applications. Computers & Security. 124

Marek D, Szyguła J, Domański A, Domańska J, Filus K, Szczygieł M.  2022.  Adaptive Hurst-Sensitive Active Queue Management. Entropy. 24(3)

Marek D, Domański A, Domańska J, Szyguła J, Czachórski T, Klamka J, Filus K.  2022.  Approximation Models for the Evaluation of TCP/AQM Networks. Bulletin of the Polish Academy of Sciences, Technical Sciences (BPASTS). 70(4)

Sobczak Ł, Filus K, Domańska J, Domański A.  2022.  Building a real-time testing platform for unmanned ground vehicles with UDP Bridge. Sensors. 22(21)

Filus K, Nowak S, Domańska J, Duda J.  2022.  Cost-Effective Filtering of Unreliable Proximity Detection Results Based on BLE RSSI and IMU Readings Using Smartphones. Scientific Reports. 12(1)

Sobczak Ł, Filus K, Domańska J, Domański A.  2022.  Finding the best hardware configuration for 2D SLAM in indoor environments via simulation based on Google Cartographer. Scientific Reports. 12

Filus K, Domańska J.  2022.  NAM: What Does a Neural Network See? International Joint Conference on Neural Networks (IJCNN 2022), IEEE WCCI 2022.

Filus K, Sobczak Ł, Domańska J, Domański A, Cupek R.  2022.  Real-time testing of vision-based systems for AGVs with ArUco markers. IEEE International Conference on Big Data.

Marantos C, Siavvas M, Tsoukalas D, Lamprakos CP, Papadopoulos L, Boryszko P, Filus K, Domańska J, Ampatzoglou A, Chatzigeorgiou A et al..  2022.  SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications. 25th Design, Automation and Test in Europe Conference.

Filus K, Boryszko P, Domańska J, Siavvas M, Gelenbe E.  2021.  Efficient Feature Selection for Static Analysis Vulnerability Prediction. Sensors. 21 (4)(Special Issue: Security and Privacy in Software Based Critical Contexts) (1.37 MB)

Sobczak Ł, Filus K, Domański A, Domańska J.  2021.  LIDAR Point Cloud generation for SLAM algorithm evaluation. Sensors. 21 (10)(Special Issue: Advance in Sensors and Sensing Systems for Driving and Transportation: Part B)

Filus K, Siavvas M, Domańska J, Gelenbe E.  2021.  The Random Neural Network as a Bonding Model for Software Vulnerability Prediction. Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. 12527:102-116. (690.95 KB)

Filus K, Domańska J, Gelenbe E.  2021.  Random Neural Network for Lightweight Attack Detection in the IoT. MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. 12527:79-91. (336.06 KB)

Szyguła J, Domański A, Domańska J, Marek D, Filus K, Mendla S.  2021.  Supervised learning of Neural Networks for Active Queue Management in the Internet. Sensors. 21(15)(Special Issue "Mathematical Modelling and Analysis in Sensors Networks")

Filus K, Domański A, Domańska J, Marek D, Szyguła J.  2020.  Long-Range Dependent Traffic Classification with Convolutional Neural Networks Based on Hurst Exponent Analysis. Entropy. 22(10)

Domański A, Domańska J, Filus K, Szyguła J, Czachórski T.  2020.  The self-similar markovian sources. Applied Sciences. 10(11)