George Nagy is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily spans the fields of Computer Science and Decision Sciences, with a focus on several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Management, Information Systems, and Literature and Literary Theory.
Their recent publications cover various aspects of pattern recognition, document processing, and multimodal pretraining techniques. Notable recent papers include:
Frequent coauthors collaborating with Nagy are Daniel Lopresti, Mukkai S. Krishnamoorthy, Ajinkya Khoche, Maciej K. Wozniak, and Thomas Gustafsson.
In terms of thematic focus, the main topics in Nagy's work include:
Their research has been published in various venues such as the 2022 26th International Conference on Pattern Recognition (ICPR), Pattern Recognition Letters, and arXiv (Cornell University).
George Nagy was recognized as an IEEE Fellow in 2003 for pioneering and sustained contributions to pattern recognition.
G. Nagy
George Nagy;Sharad Seth;Mahesh Viswanathan
G. Nagy
George Nagy;Sharad C. Seth
Richard G. Casey;George Nagy
Jie Zou;Qiang Ji;G. Nagy
K.A. Al-Kofahi;S. Lasek;D.H. Szarowski;C.J. Pace
Stephen V. Rice;George L. Nagy;Thomas A. Nartker
M. Krishnamoorthy;G. Nagy;S. Seth;M. Viswanathan
Yuri A. Tijerino;David W. Embley;Deryle W. Lonsdale;Yihong Ding
George Nagy;Sharad Wagle
David W. Embley;Matthew Hurst;Daniel P. Lopresti;George Nagy
George Nagy;Sharad C. Seth;Spotswood D. Stoddard
G. Nagy
R. Casey;G. Nagy
Yanhong Li;D. Lopresti;G. Nagy;A. Tomkins
David W. Embley;George Nagy
Leila De Floriani;Bianca Falcidieno;George Nagy;Caterina Pienovi
J. Kanai;S.V. Rice;T.A. Nartker;G. Nagy
Jianying Hu;R. Kashi;D. Lopresti;G. Nagy
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