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SteganoGAN: High Capacity Image Steganography with GANs., , , and . CoRR, (2019)Learning Vine Copula Models For Synthetic Data Generation., , and . CoRR, (2018)Learning Vine Copula Models for Synthetic Data Generation., , and . AAAI, page 5049-5057. AAAI Press, (2019)Learning Representations for Log Data in Cybersecurity., , , , , and . CSCML, volume 10332 of Lecture Notes in Computer Science, page 250-268. Springer, (2017)glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes., , , , , and . Journal of Biomedical Informatics, (2014)ATM: A distributed, collaborative, scalable system for automated machine learning., , , , , and . BigData, page 151-162. IEEE Computer Society, (2017)Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)On a generalized name entity recognizer based on Hidden Markov Models., , , , , , and . ISDA, page 952-958. IEEE, (2011)Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters., , , and . IWINAC (2), volume 9108 of Lecture Notes in Computer Science, page 166-174. Springer, (2015)Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA., , , , and . Concurrency and Computation: Practice and Experience, 25 (8): 1089-1103 (2013)