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Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems., , и . ICCS, том 29 из Procedia Computer Science, стр. 1266-1276. Elsevier, (2014)Neural Integration of Continuous Dynamics., и . CoRR, (2019)Sloop: A pattern retrieval engine for individual animal identification., , , , , и . Pattern Recognit., 48 (4): 1059-1073 (2015)Multirotor Ensemble Model Predictive Control I: Simulation Experiments., и . CoRR, (2023)Neural Networks as Geometric Chaotic Maps., и . IEEE Trans. Neural Networks Learn. Syst., 34 (1): 527-533 (2023)Machine Learning for the Geosciences: Challenges and Opportunities., , , , и . IEEE Trans. Knowl. Data Eng., 31 (8): 1544-1554 (2019)Vision-Based Biometrics for Conservation., , и . MCPR, том 7914 из Lecture Notes in Computer Science, стр. 10-19. Springer, (2013)Amplitude-Position Formulation of Data Assimilation.. International Conference on Computational Science (3), том 3993 из Lecture Notes in Computer Science, стр. 497-505. Springer, (2006)Informative Neural Ensemble Kalman Learning., , и . CoRR, (2020)Dynamic Data-Driven Downscaling to Quantify Extreme Rainfall and Flood Loss Risk., , и . DDDAS, том 13984 из Lecture Notes in Computer Science, стр. 417-424. Springer, (2022)