Modeling Dynamic Systems with Efficient Ensembles of Process-Based Models
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DOI: 10.1371/journal.pone.0153507
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- Čerepnalkoski, Darko & Taškova, Katerina & Todorovski, Ljupčo & Atanasova, Nataša & Džeroski, Sašo, 2012. "The influence of parameter fitting methods on model structure selection in automated modeling of aquatic ecosystems," Ecological Modelling, Elsevier, vol. 245(C), pages 136-165.
- Tashkova, Katerina & Šilc, Jurij & Atanasova, Nataša & Džeroski, Sašo, 2012. "Parameter estimation in a nonlinear dynamic model of an aquatic ecosystem with meta-heuristic optimization," Ecological Modelling, Elsevier, vol. 226(C), pages 36-61.
- Knudby, Anders & Brenning, Alexander & LeDrew, Ellsworth, 2010. "New approaches to modelling fish–habitat relationships," Ecological Modelling, Elsevier, vol. 221(3), pages 503-511.
- Simidjievski, Nikola & Todorovski, Ljupčo & Džeroski, Sašo, 2015. "Learning ensembles of population dynamics models and their application to modelling aquatic ecosystems," Ecological Modelling, Elsevier, vol. 306(C), pages 305-317.
- Marit Ackermann & Mathieu Clément-Ziza & Jacob J Michaelson & Andreas Beyer, 2012. "Teamwork: Improved eQTL Mapping Using Combinations of Machine Learning Methods," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-8, July.
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Cited by:
- Nakayama, Tadanobu & Wang, Qinxue & Okadera, Tomohiro, 2021. "Evaluation of spatio-temporal variations in water availability using a process-based eco-hydrology model in arid and semi-arid regions of Mongolia," Ecological Modelling, Elsevier, vol. 440(C).
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