Katarzyna Filus

According to our database, Katarzyna Filus authored at least 27 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning.

Katarzyna Filus, Mateusz Zarski

CoRR, May, 2025

Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities.

Katarzyna Filus, Michal Romaszewski, Mateusz Zarski

CoRR, April, 2025

What is the doggest dog? Examination of typicality perception in ImageNet-trained networks.

Katarzyna Filus, Joanna Domanska

Neural Networks, 2025

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, Apostolos Ampatzoglou, Dimitrios Soudris, Alexander Chatzigeorgiou, Erol Gelenbe, Dionisis D. Kehagias, Dimitrios Tzovaras

Autom. Softw. Eng., November, 2024

Similarity-driven adversarial testing of neural networks.

Katarzyna Filus, Joanna Domanska

Knowl. Based Syst., 2024

Extracting coarse-grained classifiers from large Convolutional Neural Networks.

Katarzyna Filus, Joanna Domanska

Eng. Appl. Artif. Intell., 2024

Evaluating Convolutional Neural Networks via measuring similarity of their first-layer filters and Gabor filters.

Katarzyna Filus, Joanna Domanska, Jerzy Klamka

Proceedings of the 32nd International Conference on Modeling, 2024

Finding the Perfect Cut: Selection of the Best Cutting Point in Equirectangular Panoramas for Object Detection.

Sebastian Pokucinski, Katarzyna Filus, Dariusz Mrozek

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Global Entropy Pooling layer for Convolutional Neural Networks.

Katarzyna Filus, Joanna Domanska

Neurocomputing, October, 2023

Software vulnerabilities in TensorFlow-based deep learning applications.

Katarzyna Filus, Joanna Domanska

Comput. Secur., 2023

Recycling of generic ImageNet-trained models for smart-city applications.

Katarzyna Filus, Joanna Domanska

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Visual examination of relations between known classes for deep neural network classifiers.

Lukasz Sobczak, Katarzyna Filus, Marzena Halama, Joanna Domanska

Proceedings of the IEEE International Conference on Big Data, 2023

HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications.

Nur Kelesoglu, Katarzyna Filus, Joanna Domanska

Proceedings of the IEEE International Conference on Big Data, 2023

Robust category recognition based on deep templates for educational mobile applications.

Marzena Halama, Katarzyna Filus, Joanna Domanska

Proceedings of the IEEE International Conference on Big Data, 2023

NetSat: Network Saturation Adversarial Attack.

Katarzyna Filus, Joanna Domanska

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Building a Real-Time Testing Platform for Unmanned Ground Vehicles with UDP Bridge.

Lukasz Sobczak, Katarzyna Filus, Joanna Domanska, Adam Domanski

Sensors, 2022

Adaptive Hurst-Sensitive Active Queue Management.

Dariusz Marek, Jakub Szygula, Adam Domanski, Joanna Domanska, Katarzyna Filus, Marta Szczygiel

Entropy, 2022

NAM: What Does a Neural Network See?

Katarzyna Filus, Joanna Domanska

Proceedings of the International Joint Conference on Neural Networks, 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, Dimitrios Soudris

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Real-time testing of vision-based systems for AGVs with ArUco markers.

Katarzyna Filus, Lukasz Sobczak, Joanna Domanska, Adam Domanski, Rafal Cupek

Proceedings of the IEEE International Conference on Big Data, 2022

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

LiDAR Point Cloud Generation for SLAM Algorithm Evaluation.

Lukasz Sobczak, Katarzyna Filus, Adam Domanski, Joanna Domanska

Sensors, 2021

Efficient Feature Selection for Static Analysis Vulnerability Prediction.

Katarzyna Filus, Pawel Boryszko, Joanna Domanska, Miltiadis G. Siavvas, Erol Gelenbe

Sensors, 2021

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

The Random Neural Network as a Bonding Model for Software Vulnerability Prediction.

Katarzyna Filus, Miltiadis G. Siavvas, Joanna Domanska, Erol Gelenbe

Proceedings of the Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, 2020

Random Neural Network for Lightweight Attack Detection in the IoT.

Katarzyna Filus, Joanna Domanska, Erol Gelenbe

Proceedings of the Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, 2020