Random Neural Network for Lightweight Attack Detection in the IoT. - Katarzyna Filus; Joanna Domanska; Erol Gelenbe (MASCOTS (Revised Selected Papers), 2020)

The Random Neural Network as a Bonding Model for Software Vulnerability Prediction. - Katarzyna Filus; Miltiadis G. Siavvas; Joanna Domanska; Erol Gelenbe (MASCOTS (Revised Selected Papers), 2020)

Long-Range Dependent Traffic Classification with Convolutional Neural Networks Based on Hurst Exponent Analysis. - Katarzyna Filus; Adam Domanski; Joanna Domanska; Dariusz Marek; Jakub Szygula (Entropy, 2020)

Efficient Feature Selection for Static Analysis Vulnerability Prediction. - Katarzyna Filus; Pawel Boryszko; Joanna Domanska; Miltiadis G. Siavvas; Erol Gelenbe (Sensors, 2021)

LiDAR Point Cloud Generation for SLAM Algorithm Evaluation. - Lukasz Sobczak; Katarzyna Filus; Adam Domanski; Joanna Domanska (Sensors, 2021)

Supervised Learning of Neural Networks for Active Queue Management in the Internet. - Jakub Szygula; Adam Domanski; Joanna Domanska; Dariusz Marek; Katarzyna Filus; Szymon Mendla (Sensors, 2021)

Real-time testing of vision-based systems for AGVs with ArUco markers. - Katarzyna Filus; Lukasz Sobczak; Joanna Domanska; Adam Domanski; Rafal Cupek (IEEE Big Data, 2022)

SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications. - Charalampos Marantos; Miltiadis G. Siavvas; Dimitrios Tsoukalas; Christos P. Lamprakos; Lazaros Papadopoulos; Pawel Boryszko; Katarzyna Filus; Joanna Domanska; Apostolos Ampatzoglou; Alexander Chatzigeorgiou; Erol Gelenbe; Dionisis D. Kehagias; et al. (DATE, 2022)

NAM: What Does a Neural Network See? - Katarzyna Filus; Joanna Domanska (IJCNN, 2022)

Adaptive Hurst-Sensitive Active Queue Management. - Dariusz Marek; Jakub Szygula; Adam Domanski; Joanna Domanska; Katarzyna Filus; Marta Szczygiel (Entropy, 2022)

Building a Real-Time Testing Platform for Unmanned Ground Vehicles with UDP Bridge. - Lukasz Sobczak; Katarzyna Filus; Joanna Domanska; Adam Domanski (Sensors, 2022)

NetSat: Network Saturation Adversarial Attack. - Katarzyna Filus; Joanna Domanska (IEEE Big Data, 2023)

Robust category recognition based on deep templates for educational mobile applications. - Marzena Halama; Katarzyna Filus; Joanna Domanska (IEEE Big Data, 2023)

HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications. - Nur Kelesoglu; Katarzyna Filus; Joanna Domanska (IEEE Big Data, 2023)

Visual examination of relations between known classes for deep neural network classifiers. - Lukasz Sobczak; Katarzyna Filus; Marzena Halama; Joanna Domanska (IEEE Big Data, 2023)

Recycling of generic ImageNet-trained models for smart-city applications. - Katarzyna Filus; Joanna Domanska (DSAA, 2023)

Software vulnerabilities in TensorFlow-based deep learning applications. - Katarzyna Filus; Joanna Domanska (Comput. Secur., 2023)

Global Entropy Pooling layer for Convolutional Neural Networks. - Katarzyna Filus; Joanna Domanska (Neurocomputing, 2023)

Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey. - Gustavo de Jesús Machado-Guillén; Jorge M. Cruz-Duarte; Santiago E. Conant-Pablos; Katarzyna Filus (CEC, 2024)

Finding the Perfect Cut: Selection of the Best Cutting Point in Equirectangular Panoramas for Object Detection. - Sebastian Pokucinski; Katarzyna Filus; Dariusz Mrozek (KES, 2024)

Evaluating Convolutional Neural Networks via measuring similarity of their first-layer filters and Gabor filters. - Katarzyna Filus; Joanna Domanska; Jerzy Klamka (MASCOTS, 2024)

Extracting coarse-grained classifiers from large Convolutional Neural Networks. - Katarzyna Filus; Joanna Domanska (Eng. Appl. Artif. Intell., 2024)

Similarity-driven adversarial testing of neural networks. - Katarzyna Filus; Joanna Domanska (Knowl. Based Syst., 2024)

SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software. - Miltiadis G. Siavvas; Dimitrios Tsoukalas; Charalambos Marantos; Lazaros Papadopoulos; Christos P. Lamprakos; Oliviu Matei; Christos Strydis; Muhammad Ali Siddiqi; Philippe Chrobocinski; Katarzyna Filus; Joanna Domanska; Paris Avgeriou; et al. (Autom. Softw. Eng., 2024)

What is the doggest dog? Examination of typicality perception in ImageNet-trained networks. - Katarzyna Filus; Joanna Domanska (Neural Networks, 2025)

Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities. - Katarzyna Filus; Michal Romaszewski; Mateusz Zarski (CoRR, 2025)

Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning. - Katarzyna Filus; Mateusz Zarski (CoRR, 2025)