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 | 84 | 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 | 49 | 2020 |
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 | 33 | 2015 |
Modeling dynamic systems with efficient ensembles of process-based models N Simidjievski, L Todorovski, S Džeroski PloS one 11 (4), e0153507, 2016 | 27 | 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 | 17 | 2020 |
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 | 17 | 2017 |
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 | 14 | 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 | 12 | 2015 |
Improving interpretability in medical imaging diagnosis using adversarial training A Margeloiu, N Simidjievski, M Jamnik, A Weller arXiv preprint arXiv:2012.01166, 2020 | 9 | 2020 |
Equation discovery for nonlinear system identification N Simidjievski, L Todorovski, J Kocijan, S Džeroski IEEE Access 8, 29930-29943, 2020 | 8 | 2020 |
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 | 8 | 2019 |
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 | 8 | 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 | 7 | 2018 |
Heavy-tailed denoising score matching J Deasy, N Simidjievski, P Liò arXiv preprint arXiv:2112.09788, 2021 | 6 | 2021 |
Fuzzy jaccard index: a robust comparison of ordered lists M Petković, B Škrlj, D Kocev, N Simidjievski Applied Soft Computing 113, 107849, 2021 | 5 | 2021 |
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 | 5 | 2021 |
Using ontology embeddings for structural inductive bias in gene expression data analysis M Trębacz, Z Shams, M Jamnik, P Scherer, N Simidjievski, HA Terre, ... arXiv preprint arXiv:2011.10998, 2020 | 3 | 2020 |
Learning ensembles of process-based models by bagging of random library samples N Simidjievski, L Todorovski, S Džeroski Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016 | 3 | 2016 |
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 | 2 | 2023 |
Aitlas: Artificial intelligence toolbox for earth observation I Dimitrovski, I Kitanovski, P Panov, N Simidjievski, D Kocev arXiv preprint arXiv:2201.08789, 2022 | 2 | 2022 |