Katarzyna Filus
2026
- Filus K.; Cruz-Duarte J.; Korpyś M.; Kołodziej A.; Gancarczyk A.; Talbi E.; Domańska J.; Feature- and Similarity-Based Explainability of Experimental Materials Data via Black-Box Hyperparameter Optimization; In Press: Parallel Problem Solving from Nature; 2026
- Filus K.; Cruz-Duarte J.; Target Selection for Adversarial Evaluation of Vision Models Using Language Models; In Press: IEEE International Joint Conference on Neural Networks; 2026
2025
- Filus K.; Pokuciński S.; SPHEREA: Synthetic dataset generation for equirectangular panoramas of home environments; Knowledge-Based Systems; 2025
- Filus K.; Domańska J.; How CNNs and ViTs perceive similarities between categories; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD); 2025
2024
- Filus K.; Domańska J.; Similarity-driven adversarial testing of neural networks; Knowledge-Based Systems; 2024
- Filus K.; Domańska J.; Klamka J.; 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; 2024
- Filus K.; Domańska J.; Extracting coarse-grained classifiers from large Convolutional Neural Networks; Engineering Applications of Artificial Intelligence; 2024
- Pokuciński S.; Filus K.; Mrozek D.; Finding the Perfect Cut: Selection of the Best Cutting Point in Equirectangular Panoramas for Object Detection; International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; 2024
- Machado-Guillen G.; Cruz-Duarte J.; Conant-Pablos S.; Filus K.; Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey; IEEE Congress on Evolutionary Computation; 2024
- Siavvas M.; Tsoukalas D.; Marantos C.; Papadopoulos L.; Lamprakos C.; Matei O.; Strydis C.; Siddiqi M.; Chrobocinski P.; Filus K.; Domańska J.; Avgeriou P.; Ampatzoglou A.; Soudris D.; Chatzigeorgiou A.; Gelenbe E.; Kehagias D.; Tzovaras D.; SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software; Automated Software Engineering; 2024
2023
- Sobczak Ł.; Filus K.; Halama M.; Domańska J.; Visual examination of relations between known classes for deep neural network classifiers.; 2023 IEEE International Conference on Big Data; 2023
- Filus K.; Domańska J.; NetSat: Network Saturation Adversarial Attack; IEEE International Conference on Big Data (IEEE BigData 2023); 2023
- Halama M.; Filus K.; Domańska J.; Robust category recognition based on deep templates for educational mobile applications; 2023 IEEE International Conference on Big Data; 2023
- Kelesoglu N.; Filus K.; Domańska J.; HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications; 2023 IEEE International Conference on Big Data; 2023
- Filus K.; Domańska J.; Recycling of Generic ImageNet-trained Models for Smart-city Applications; The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA); 2023
- Filus K.; Domańska J.; Global Entropy Pooling Layer for Convolutional Neural Networks; Neurocomputing; 2023
- Filus K.; Domańska J.; Software Vulnerabilities in TensorFlow-Based Deep Learning Applications; Computers & Security; 2023
2022
- Filus K.; Sobczak Ł.; Domańska J.; Domański A.; Cupek R.; Real-time testing of vision-based systems for AGVs with ArUco markers; IEEE International Conference on Big Data; 2022
- Marek D.; Domański A.; Domańska J.; Szyguła J.; Czachórski T.; Klamka J.; Filus K.; Approximation Models for the Evaluation of TCP/AQM Networks; Bulletin of the Polish Academy of Sciences, Technical Sciences (BPASTS); 2022
- Filus K.; Domańska J.; NAM: What Does a Neural Network See?; International Joint Conference on Neural Networks (IJCNN 2022), IEEE WCCI 2022; 2022
- Marek D.; Szyguła J.; Domański A.; Domańska J.; Filus K.; Szczygieł M.; Adaptive Hurst-Sensitive Active Queue Management; Entropy; 2022