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Configuration and intercomparison of deep learning neural models for statistical downscaling

, , and . Geoscientific Model Development, 13 (4): 2109--2124 (2020)

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Some Applications of Functional Networks in Statistics and Engineering., , , and . Technometrics, 43 (1): 10-24 (2001)Evolving modular networks with genetic algorithms: application to nonlinear time series., , and . Expert Syst. J. Knowl. Eng., 21 (4): 208-216 (2004)Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms., , and . Int. J. Approx. Reason., (2019)A new method for efficient symbolic propagation in discrete Bayesian networks., , and . Networks, 28 (1): 31-43 (1996)Functional networks with applications: a neural-based paradigm Book Review., , , and . IEEE Trans. Neural Networks, 10 (4): 982-982 (1999)Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures., and . IWANN (1), volume 2084 of Lecture Notes in Computer Science, page 308-315. Springer, (2001)GRID Oriented Implementation of Self-organizing Maps for Data Mining in Meteorology., , and . European Across Grids Conference, volume 2970 of Lecture Notes in Computer Science, page 163-170. Springer, (2003)Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks., and . CoRR, (2021)An R package to visualize and communicate uncertainty in seasonal climate prediction., , , , , , , and . Environ. Model. Softw., (2018)Simple reservoirs with chain topology based on a single time-delay nonlinear node., , , and . ESANN, (2012)