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Satellite-Based Rainfall Estimation through Semi-supervised Learning.

, , and . CSIE (6), page 1-5. IEEE Computer Society, (2009)

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Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time Series., , , , , and . JIDM, 2 (1): 51-58 (2011)Satellite-Based Rainfall Estimation through Semi-supervised Learning., , and . CSIE (6), page 1-5. IEEE Computer Society, (2009)Robust Pruning of Training Patterns for Optimum-Path Forest Classification Applied to Satellite-Based Rainfall Occurrence Estimation., , , and . IEEE Geosci. Remote. Sens. Lett., 7 (2): 396-400 (2010)Mining Climate and Remote Sensing Time Series to Discover the Most Relevant Climate Patterns., , , , and . SBBD, page 181-195. SBC, (2009)SART: A New Association Rule Method for Mining Sequential Patterns in Time Series of Climate Data., , , , , and . ICCSA (3), volume 7335 of Lecture Notes in Computer Science, page 743-757. Springer, (2012)Analysis of large scale climate data: how well climate change models and data from real sensor networks agree?, , , , , , , and . WWW (Companion Volume), page 517-526. International World Wide Web Conferences Steering Committee / ACM, (2013)A New Time Series Mining Approach Applied to Multitemporal Remote Sensing Imagery., , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 51 (1): 140-150 (2013)Finding Spatio-Temporal Patterns in Multidimensional Data Streams., , , , , and . JIDM, 4 (3): 327-340 (2013)Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner., , , , and . JIDM, 1 (2): 245-260 (2010)CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data., , , , , and . SAC, page 900-905. ACM, (2010)