| Sleep classification from wrist-worn accelerometer data using random forests K Sundararajan, S Georgievska, BHW Te Lindert, PR Gehrman, ... Scientific reports 11 (1), 24, 2021 | 78 | 2021 |
| DeepRank: a deep learning framework for data mining 3D protein-protein interfaces N Renaud, C Geng, S Georgievska, F Ambrosetti, L Ridder, DF Marzella, ... Nature communications 12 (1), 7068, 2021 | 74 | 2021 |
| Mcfly: Automated deep learning on time series D Van Kuppevelt, C Meijer, F Huber, A Van der Ploeg, S Georgievska, ... SoftwareX 12, 100548, 2020 | 42 | 2020 |
| Detecting high indoor crowd density with Wi-Fi localization: A statistical mechanics approach S Georgievska, P Rutten, J Amoraal, E Ranguelova, R Bakhshi, ... Journal of Big Data 6, 1-23, 2019 | 23 | 2019 |
| On compositionality, efficiency, and applicability of abstraction in probabilistic systems S Andova, S Georgievska International Conference on Current Trends in Theory and Practice of …, 2009 | 22 | 2009 |
| Probabilistic may/must testing: retaining probabilities by restricted schedulers S Georgievska, S Andova Formal Aspects of Computing 24 (4), 727-748, 2012 | 19 | 2012 |
| Clustering image noise patterns by embedding and visualization for common source camera detection S Georgievska, R Bakhshi, A Gavai, A Sclocco, B van Werkhoven Digital Investigation 23, 22-30, 2017 | 18 | 2017 |
| Branching bisimulation congruence for probabilistic systems S Andova, S Georgievska, N Trčka Theoretical Computer Science 413 (1), 58-72, 2012 | 18 | 2012 |
| Retaining the probabilities in probabilistic testing theory S Georgievska, S Andova International Conference on Foundations of Software Science and …, 2010 | 18 | 2010 |
| Branching bisimulation congruence for probabilistic systems N Trčka, S Georgievska Electronic Notes in Theoretical Computer Science 220 (3), 129-143, 2008 | 15 | 2008 |
| fMLC: fast multi-level clustering and visualization of large molecular datasets D Vu, S Georgievska, S Szoke, A Kuzniar, V Robert Bioinformatics 34 (9), 1577-1579, 2018 | 11 | 2018 |
| Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network X Shan, S Steele-Dunne, M Huber, S Hahn, W Wagner, B Bonan, ... Remote Sensing of Environment 279, 113116, 2022 | 8 | 2022 |
| Probability and hiding in concurrent processes S Georgievska | 8 | 2011 |
| Mcfly: Automated deep learning on time series. SoftwareX 12, 100548 D Van Kuppevelt, C Meijer, F Huber, A van der Ploeg, S Georgievska, ... | 5 | 2020 |
| Testing reactive probabilistic processes S Georgievska, S Andova arXiv preprint arXiv:1006.5100, 2010 | 5 | 2010 |
| Probabilistic CSP: preserving the laws via restricted schedulers S Georgievska, S Andova International GI/ITG Conference on Measurement, Modelling, and Evaluation of …, 2012 | 4 | 2012 |
| Composing systems while preserving probabilities S Georgievska, S Andova European Performance Engineering Workshop, 268-283, 2010 | 4 | 2010 |
| Performance analysis of χ models using discrete-time probabilistic reward graphs N Trcka, S Georgievska, J Markovski, S Andova, EP de Vink 2008 9th International Workshop on Discrete Event Systems, 113-118, 2008 | 4 | 2008 |
| Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning H Haberfehlner, SS van de Ven, SA van der Burg, F Huber, ... Frontiers in Robotics and AI 10, 1108114, 2023 | 3 | 2023 |
| Towards automated video-based assessment of dystonia in severe dyskinetic cerebral palsy: a new method using human pose estimation H Haberfehlner, SS van der Ven, SA van der Burg, F Huber, ... Gait & Posture 97, S78-S79, 2022 | 2 | 2022 |
