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Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities.

, , , , , and . Computational Sustainability, volume 645 of Studies in Computational Intelligence, Springer, (2016)

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A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics., , , , and . ICDM, page 151-160. IEEE Computer Society, (2013)A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring., , , , , , and . AAAI, page 281-287. AAAI Press, (2012)A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science., and . Big Data, 2 (3): 155-163 (2014)Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data., , , , , , , , and . IEEE Trans. Knowl. Data Eng., 29 (10): 2318-2331 (2017)Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application., , , , , , and . AAAI, page 1277-1283. AAAI Press, (2013)Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping., , and . ICDM Workshops, page 1536-1537. IEEE Computer Society, (2015)Theory-guided Data Science: A New Paradigm for Scientific Discovery., , , , , , , , and . CoRR, (2016)Theory-Guided Data Science for Climate Change., , , , , , and . Computer, 47 (11): 74-78 (2014)EddyScan: A physically consistent ocean eddy monitoring application., , , , , , , and . CIDU, page 96-103. IEEE, (2012)Equitable development through deep learning: The case of sub-national population density estimation., , , and . ACM DEV, page 6:1-6:10. ACM, (2016)