@article{8349675b9e8c45aeba5b7cf9ca3cfe27,
title = "Guest editorial special issue on adversarial learning in computational intelligence",
author = "Zixing Zhang and Metaxas, {Dimitris N.} and Lee, {Hung Yi} and Schuller, {Bjorn W.}",
note = "Funding Information: Dimitris N. Metaxas is a Distinguished Professor in the Computer Science Department at Rutgers University. He is director of the Center for Computational Biomedicine, Imaging and Modeling (CBIM) and the NSF I/UCR CARTA Center. He has also been a Tenured Faculty Member in the Computer and Information Science Department of the University of Pennsylvania. Prof. Metaxas received a Diploma with highest honors in Electrical Engineering and Computer Science from the National Technical University of Athens Greece, an M.Sc. in Computer Science from the University of Maryland, College Park, and a Ph.D. in Computer Science from the University of Toronto. His research emphasizes the development of novel Machine Learning methods, GANs, machine learning methods for representation and understanding of scenes, shape and motion, statistical object modeling and tracking, machine learning and sparse learning methods for segmentation and medical image reconstruction, deformable models and fluid simulations. Dr. Metaxas has published over 500 research articles in these areas and has graduated 57 PhD students. Dr. Metaxas has received several best paper awards, and holds 8 patents. He was awarded a Fulbright Fellowship in 1986, is a recipient of an NSF Research Initiation and Career awards, an ONR YIP, a Fellow of the MICCAI Society, a Fellow the American Institute of Medical and Biological Engineers and a Fellow of IEEE. He has been involved with the organization of several major conferences in vision and medical image analysis, including ICCV 2007, ICCV 2011, MICCAI 2008 and CVPR 2014.",
year = "2020",
month = aug,
doi = "10.1109/TETCI.2020.3006295",
language = "English (US)",
volume = "4",
pages = "414--416",
journal = "IEEE Transactions on Emerging Topics in Computational Intelligence",
issn = "2471-285X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",
}