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Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method.

, , , , , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 19-26. Springer, (2015)

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Representation learning for mammography mass lesion classification with convolutional neural networks., , , , and . Comput. Methods Programs Biomed., (2016)Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources., , and . CARLA, volume 485 of Communications in Computer and Information Science, page 43-53. Springer, (2014)CardioGRID: a framework for the analysis of cardiological signals in GRID computing., , , , , , , and . LANOMS, IEEE, (2009)On the Representativeness of Convolutional Neural Networks Layers., , , , , , , , and . CCIA, volume 288 of Frontiers in Artificial Intelligence and Applications, page 29-38. IOS Press, (2016)Data driven Vertical Total Electron Content workflow for GNSS positioning for single frequency receivers., , , and . ICL-GNSS, page 1-6. IEEE, (2016)Exchanging Data for Breast Cancer Diagnosis on Heterogeneous Grid Platforms., , , , , , , , , and 3 other author(s). Comput. Informatics, 31 (1): 3-15 (2012)Feature Learning Using Stacked Autoencoders to Predict the Activity of Antimicrobial Peptides., , and . CMSB, volume 9308 of Lecture Notes in Computer Science, page 121-132. Springer, (2015)BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources., , , , , , , , , and 1 other author(s). eScience, page 1-8. IEEE Computer Society, (2012)Convolutional neural networks for mammography mass lesion classification., , , , and . EMBC, page 797-800. IEEE, (2015)Effective training of convolutional neural networks with small, specialized datasets., , and . J. Intell. Fuzzy Syst., 32 (2): 1333-1342 (2017)