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Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets.

, , , , , , , and . Neural Process. Lett., 45 (3): 855-867 (2017)

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Semantic Forward Propagation for Symbolic Regression., , , , and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 364-374. Springer, (2016)Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis., , , , and . PPSN (1), volume 11101 of Lecture Notes in Computer Science, page 525-536. Springer, (2018)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)Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data., , , , and . IRI, page 244-251. IEEE Computer Society, (2015)Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version., , , , , and . IJCAI, page 5389-5393. ijcai.org, (2018)Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning., , , , , and . KDD, page 2377-2386. ACM, (2018)Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming., , , , and . GECCO, page 797-804. ACM, (2016)DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution., , , , , and . KDD, page 1663-1672. ACM, (2017)Satellite Monitoring of Disturbances in Arctic Ecosystems., , , , and . IGARSS (3), page 585-588. IEEE, (2009)A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data., , , , , , , , , and 1 other author(s). WHISPERS, page 1-4. IEEE, (2010)