| Variational autoencoders for cancer data integration: design principles and computational practice N Simidjievski, C Bodnar, I Tariq, P Scherer, H Andres Terre, Z Shams, ... Frontiers in genetics 10, 1205, 2019 | 149 | 2019 |
| On second order behaviour in augmented neural odes A Norcliffe, C Bodnar, B Day, N Simidjievski, P Liò Advances in neural information processing systems 33, 5911-5921, 2020 | 113 | 2020 |
| Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification I Dimitrovski, I Kitanovski, D Kocev, N Simidjievski ISPRS Journal of Photogrammetry and Remote Sensing 197, 18-35, 2023 | 93 | 2023 |
| Predicting long-term population dynamics with bagging and boosting of process-based models N Simidjievski, L Todorovski, S Džeroski Expert Systems with Applications 42 (22), 8484-8496, 2015 | 35 | 2015 |
| Modeling dynamic systems with efficient ensembles of process-based models N Simidjievski, L Todorovski, S Džeroski PloS one 11 (4), e0153507, 2016 | 29 | 2016 |
| Constraining variational inference with geometric jensen-shannon divergence J Deasy, N Simidjievski, P Liò Advances in Neural Information Processing Systems 33, 10647-10658, 2020 | 28 | 2020 |
| Fuzzy Jaccard index: A robust comparison of ordered lists M Petković, B Škrlj, D Kocev, N Simidjievski Applied Soft Computing 113, 107849, 2021 | 19 | 2021 |
| Predicting thermal power consumption of the Mars Express satellite with machine learning M Breskvar, D Kocev, J Levatić, A Osojnik, M Petković, N Simidjievski, ... 2017 6th International conference on space mission challenges for …, 2017 | 19 | 2017 |
| Improving interpretability in medical imaging diagnosis using adversarial training A Margeloiu, N Simidjievski, M Jamnik, A Weller arXiv preprint arXiv:2012.01166, 2020 | 18 | 2020 |
| Machine learning for predicting thermal power consumption of the Mars Express Spacecraft M Petković, R Boumghar, M Breskvar, S Džeroski, D Kocev, J Levatić, ... IEEE Aerospace and Electronic Systems Magazine 34 (7), 46-60, 2019 | 18 | 2019 |
| Heavy-tailed denoising score matching J Deasy, N Simidjievski, P Liò arXiv preprint arXiv:2112.09788, 2021 | 17 | 2021 |
| Equation discovery for nonlinear system identification N Simidjievski, L Todorovski, J Kocijan, S Džeroski IEEE Access 8, 29930-29943, 2020 | 17 | 2020 |
| Weight predictor network with feature selection for small sample tabular biomedical data A Margeloiu, N Simidjievski, P Lio, M Jamnik Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9081-9089, 2023 | 14 | 2023 |
| Aitlas: Artificial intelligence toolbox for earth observation I Dimitrovski, I Kitanovski, P Panov, A Kostovska, N Simidjievski, D Kocev Remote Sensing 15 (9), 2343, 2023 | 13 | 2023 |
| REM: an integrative rule extraction methodology for explainable data analysis in healthcare Z Shams, B Dimanov, S Kola, N Simidjievski, HA Terre, P Scherer, ... medRxiv, 2021.01. 25.21250459, 2021 | 13 | 2021 |
| Quantifying the effects of gyroless flying of the mars express spacecraft with machine learning M Petkovic, L Lucas, D Kocev, S Džeroski, R Boumghar, N Simidjievski 2019 IEEE International Conference on Space Mission Challenges for …, 2019 | 11 | 2019 |
| Learning ensembles of population dynamics models and their application to modelling aquatic ecosystems N Simidjievski, L Todorovski, S Džeroski Ecological Modelling 306, 305-317, 2015 | 11 | 2015 |
| Protogate: Prototype-based neural networks with global-to-local feature selection for tabular biomedical data X Jiang, A Margeloiu, N Simidjievski, M Jamnik arXiv preprint arXiv:2306.12330, 2023 | 10 | 2023 |
| Process-based modeling and design of dynamical systems J Tanevski, N Simidjievski, L Todorovski, S Džeroski Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 9 | 2017 |
| Decoupling approximation robustly reconstructs directed dynamical networks N Simidjievski, J Tanevski, B Ženko, Z Levnajić, L Todorovski, S Džeroski New Journal of Physics 20 (11), 113003, 2018 | 8 | 2018 |
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesE-mailová adresa ověřena na: ijs.si
