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Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation., , , , , and . CoRR, (2019)Interpolating Seismic Data With Conditional Generative Adversarial Networks., , , and . IEEE Geosci. Remote. Sens. Lett., 15 (12): 1952-1956 (2018)Towards distributed region growing image segmentation based on MapReduce., , , , , and . IGARSS, page 4352-4355. IEEE, (2015)An open source object-based framework to extract landform classes., , , , , , and . Expert Syst. Appl., 39 (1): 541-554 (2012)Generating Sketch-Based Synthetic Seismic Images With Generative Adversarial Networks., , , and . IEEE Geosci. Remote. Sens. Lett., 17 (8): 1460-1464 (2020)Improving Seismic Data Resolution With Deep Generative Networks., , , and . IEEE Geosci. Remote. Sens. Lett., 16 (12): 1929-1933 (2019)On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis., , , , , , , and . IGARSS, page 1508-1511. IEEE, (2015)Assessing Texture Descriptors for Seismic Image Retrieval., , , , and . SIBGRAPI, page 292-299. IEEE Computer Society, (2017)Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data., , , , and . IEEE Geosci. Remote. Sens. Lett., 14 (8): 1298-1302 (2017)Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation., , , , , and . CoRR, (2019)