| 2024 | CEC | Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey. | Gustavo de Jess Machado-Guilln, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Katarzyna Filus |
| 2024 | KES | Finding the Perfect Cut: Selection of the Best Cutting Point in Equirectangular Panoramas for Object Detection. | Sebastian Pokucinski, Katarzyna Filus, Dariusz Mrozek |
| 2024 | MASCOTS | Evaluating Convolutional Neural Networks via measuring similarity of their first-layer filters and Gabor filters. | Katarzyna Filus, Joanna Domanska, Jerzy Klamka |
| 2023 | DSAA | Recycling of generic ImageNet-trained models for smart-city applications. | Katarzyna Filus, Joanna Domanska |
| 2022 | DATE | 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 |
| 2022 | IJCNN | NAM: What Does a Neural Network See? | Katarzyna Filus, Joanna Domanska |
| 2020 | MASCOTS | Random Neural Network for Lightweight Attack Detection in the IoT. | Katarzyna Filus, Joanna Domanska, Erol Gelenbe |
| 2020 | MASCOTS | The Random Neural Network as a Bonding Model for Software Vulnerability Prediction. | Katarzyna Filus, Miltiadis G. Siavvas, Joanna Domanska, Erol Gelenbe |