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A hybrid approach to improving rainfall forecasts.. Computing in Science and Engineering, 4 (4): 14-21 (2002)Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science., , and . Statistical Analysis and Data Mining, 4 (5): 497-511 (2011)Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction., , , and . KDD, page 2556-2564. ACM, (2019)Spatiotemporal data mining in the era of big spatial data: algorithms and applications., , , , , and . BigSpatial@SIGSPATIAL, page 1-10. ACM, (2012)An exploration of climate data using complex networks., , and . KDD Workshop on Knowledge Discovery from Sensor Data, page 23-31. ACM, (2009)Data Mining in Earth System Science (DMESS 2011)., , , , , , , , and . ICCS, volume 4 of Procedia Computer Science, page 1450-1455. Elsevier, (2011)Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images., , , , , , , , , and 1 other author(s). ICDM Workshops, page 763-769. IEEE, (2018)Sparse Group Lasso: Consistency and Climate Applications., , , , and . SDM, page 47-58. SIAM / Omnipress, (2012)Complex Networks In Climate Science: Progress, Opportunities And Challenges., , and . CIDU, page 16-26. NASA Ames Research Center, (2010)Towards a Characterization and Systematic Evaluation Framework for Theories and Models of Human, Social, Behavioral, and Cultural Processes within Agent-Based Models., , , , , , , , , and 5 other author(s). Managing Complexity, volume 504 of Studies in Computational Intelligence, Springer, (2013)