Nikola Simidjievski
TitleCited byYear
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
242015
Modeling dynamic systems with efficient ensembles of process-based models
N Simidjievski, L Todorovski, S Džeroski
PloS one 11 (4), 2016
172016
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 forá…, 2017
122017
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
102015
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
52018
Process-based modeling and design of dynamical systems
J Tanevski, N Simidjievski, L Todorovski, S Džeroski
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2017
52017
Learning ensembles of process-based models by bagging of random library samples
N Simidjievski, L Todorovski, S Džeroski
International Conference on Discovery Science, 245-260, 2016
32016
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
22019
Variational autoencoders for cancer data integration: design principles and computational practice
N Simidjievski, C Bodnar, I Tariq, P Scherer, HA Terre, Z Shams, ...
Frontiers in Genetics 10, 2019
22019
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 forá…, 2019
12019
Modeling of dynamical systems: a survey of tools and a case study
G Peev, N Simidjievski, S Džeroski
20th International Multiconference Information Society-IS, 15-18, 2017
12017
Biocircuit Design with Equation Discovery
J Tanevski, N Simidjievski, S Džeroski
Learning and Discovery in Symbolic Systems Biology, 2, 2012
12012
Equation Discovery for Nonlinear System Identification
N Simidjievski, L Todorovski, J Kocijan, S Džeroski
IEEE Access, 2020
2020
Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems
I Tolovski, A Kostovska, N Simidjievski, L Todorovski, S Džeroski, P Panov
2019 42nd International Convention on Information and Communicationá…, 2019
2019
Ensembles of Process-based Models of Dynamic Systems: Doctoral Dissertation
N Simidjievski
N. Simidjievski, 2016
2016
Predictive process-based modeling of aquatic ecosystems
N Vidmar, N Simidjievski, S Džeroski
Information Society - IS 2014, 2014
2014
Learning bagged models of dynamic systems
N Simidjievski, L Todorovski, S Džeroski
Jožef Stefan International Postgraduate School Students' Conference, 2013
2013
SUMO-Supermodeling by combining imperfect models
L Todorovski, N Simidjievski
2012
SUMO-Supermodeling by combining imperfect models
P Panov, J Tanevski, N Simidjievski, L Todorovski, S Dzeroski
2012
Aiding the Task of Process-Based Modeling with ProBMoTViz
G Peev, N Simidjievski, S Džeroski
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Articles 1–20