Branching Bisimulation Congruence for Probabilistic Systems. - Nikola Trcka; Sonja Georgievska (QAPL, 2008)

On Compositionality, Efficiency, and Applicability of Abstraction in Probabilistic Systems. - Suzana Andova; Sonja Georgievska (SOFSEM, 2009)

Testing Probabilistic Processes: Can Random Choices Be Unobservable? - Sonja Georgievska; Suzana Andova (CoRR, 2009)

Composing Systems While Preserving Probabilities. - Sonja Georgievska; Suzana Andova (EPEW, 2010)

Retaining the Probabilities in Probabilistic Testing Theory. - Sonja Georgievska; Suzana Andova (FoSSaCS, 2010)

Testing Reactive Probabilistic Processes - Sonja Georgievska; Suzana Andova (QAPL, 2010)

Probabilistic CSP: Preserving the Laws via Restricted Schedulers. - Sonja Georgievska; Suzana Andova (MMB/DFT, 2012)

Probabilistic may/must testing: retaining probabilities by restricted schedulers. - Sonja Georgievska; Suzana Andova (Formal Aspects Comput., 2012)

Branching bisimulation congruence for probabilistic systems. - Suzana Andova; Sonja Georgievska; Nikola Trcka (Theor. Comput. Sci., 2012)

Clustering image noise patterns by embedding and visualization for common source camera detection. - Sonja Georgievska; Rena Bakhshi; Anand K. Gavai; Alessio Sclocco; Ben van Werkhoven (Digit. Investig., 2017)

fMLC: fast multi-level clustering and visualization of large molecular datasets. - Duong Vu; Sonja Georgievska; Szaniszlo Szoke; Arnold Kuzniar; Vincent Robert (Bioinform., 2018)

Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach. - Sonja Georgievska; Philip Rutten; Jan Amoraal; Elena Ranguelova; Rena Bakhshi; Ben L. de Vries; Michael Lees; Sander Klous (J. Big Data, 2019)

Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning. - Helga Haberfehlner; Shankara S. van de Ven; Sven van der Burg; Florian Huber; Sonja Georgievska; Ignazio Aleo; Jaap Harlaar; Laura A. Bonouvrié; Marjolein M. van der Krogt; Annemieke I. Buizer (Frontiers Robotics AI, 2023)

Explainable few-shot learning workflow for detecting invasive and exotic tree species. - Caroline M. Gevaert; Alexandra Aguiar Pedro; Ou Ku; Hao Cheng; Pranav Chandramouli; Farzaneh Dadrass Javan; Francesco Nattino; Sonja Georgievska (CoRR, 2024)

MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications. - Ou Ku; Fakhereh Alidoost; Xu Shan; Pranav Chandramouli; Sonja Georgievska; Meiert W. Grootes; Susan C. Steele-Dunne (J. Open Source Softw., 2024)

MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration. - Héctor Cadavid; Hyunho Mo; Bauke Arends; Katarzyna Dziopa; Esther E. Bron; Daniel Bos; Sonja Georgievska; Pim van der Harst (CoRR, 2025)