| The World as a Graph: Improving El Ni\~ no Forecasts with Graph Neural Networks SR Cachay, E Erickson, AFC Bucker, E Pokropek, W Potosnak, S Bire, ... arXiv preprint arXiv:2104.05089, 2021 | 43* | 2021 |
| What are the critical elements of satisfaction and experience in labor and childbirth—a cross-sectional study B Baranowska, A Kajdy, P Pawlicka, E Pokropek, M Rabijewski, D Sys, ... International journal of environmental research and public health 17 (24), 9295, 2020 | 10 | 2020 |
| Recur, attend or convolve? on whether temporal modeling matters for cross-domain robustness in action recognition S Broomé, E Pokropek, B Li, H Kjellström Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 9 | 2023 |
| Deep neural networks for detecting statistical model misspecifications. The case of measurement invariance A Pokropek, E Pokropek Structural Equation Modeling: A Multidisciplinary Journal 29 (3), 394-411, 2022 | 9 | 2022 |
| Numerical and experimental performance analysis of the chirped fiber bragg grating based abrasion sensor for the maintenance applications in the industry 4.0 K Markowski, K Wojakowski, E Pokropek, M Marzęcki Sensors 20 (3), 770, 2020 | 9 | 2020 |
| Graph Deep Learning for Long Range Forecasting S Rühling Cachay, E Erickson, AFC Bucker, E Pokropek, W Potosnak, ... EGU General Assembly Conference Abstracts, EGU21-9141, 2021 | 1* | 2021 |
| Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings E Pokropek, S Broomé, PH Andersen, H Kjellström arXiv preprint arXiv:2306.05311, 2023 | | 2023 |
| Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites E Pokropek KTH Royal Institute of Technology, 2023 | | 2023 |
