Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Masoumeh Zareapoor"'
Autor:
K. R. Seeja, Masoumeh Zareapoor
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
This paper proposes an intelligent credit card fraud detection model for detecting fraud from highly imbalanced and anonymous credit card transaction datasets. The class imbalance problem is handled by finding legal as well as fraud transaction patte
Externí odkaz:
https://doaj.org/article/0db8d1a58c424346816ab7a36a042324
Autor:
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador Garcia, Eric Granger, Jie Yang
Publikováno v:
IEEE Transactions on Cybernetics. 53:874-886
Image-to-image (I2I) translation has become a key asset for generative adversarial networks. Convolutional neural networks (CNNs), despite having a significant performance, are not able to capture the spatial relationships among different parts of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6e3b08e3d3b7c5b107cc8360b31be50
https://doi.org/10.1109/tcyb.2022.3166761
https://doi.org/10.1109/tcyb.2022.3166761
Publikováno v:
IEEE Transactions on Multimedia. 24:3665-3678
In recent years, cross-modal hashing (CMH) has attracted considerable attention due to its ability to learn across different modalities and its high efficiency for similarity retrieval applications. This procedure is computationally inexpensive when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14778843ec28fe806a171ea0ca9a33ef
https://doi.org/10.1109/tmm.2021.3105824
https://doi.org/10.1109/tmm.2021.3105824
Autor:
Huiyu Zhou, Jie Yang, Ruili Wang, Pourya Shamsolmoali, M. Emre Celebi, Eric Granger, Masoumeh Zareapoor
Publikováno v:
Information Fusion. 72:126-146
Generative Adversarial Networks (GANs) have been extremely successful in various application domains such as computer vision, medicine, and natural language processing. Moreover, transforming an object or person to a desired shape become a well-studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43a72bd555bd0fd2cc53b495132d5047
https://doi.org/10.1016/j.inffus.2021.02.014
https://doi.org/10.1016/j.inffus.2021.02.014
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ece3c03b90005648648788c2f2a651
https://doi.org/10.1109/icpr56361.2022.9956427
https://doi.org/10.1109/icpr56361.2022.9956427
Publikováno v:
Library Hi Tech.
PurposeThe purpose of the study is threefold: first, to identify what factors influence mobile users' willingness of news learning and sharing, second, to find out whether users' learning in the news platforms will affect their sharing behavior and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19537b38e5dcc3d4ed18302a5565f4e5
https://doi.org/10.1108/lht-11-2021-0408
https://doi.org/10.1108/lht-11-2021-0408
Publikováno v:
Neural Computing and Applications. 32:14579-14591
A novel method called GAN-Poser has been explored to predict human motion in less time given an input 3D human skeleton sequence based on a generator–discriminator framework. Specifically, rather than using the conventional Euclidean loss, a frame-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e57e99baddb41dda2e05e94afaa8c50
https://doi.org/10.1007/s00521-020-04941-4
https://doi.org/10.1007/s00521-020-04941-4
Autor:
Yuanjie Zheng, Jian Lian, Deepak Kumar Jain, Rong Luo, Masoumeh Zareapoor, Weikuan Jia, Neeraj Kumar
Publikováno v:
IEEE Transactions on Industrial Informatics. 16:1343-1351
Surface detection of small defects plays a vital role in manufacturing and has attracted broad interest. It remains challenging primarily due to the small size of the defect relative to the large surface and the rare occurrence of defects. To address
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::360346ae94939d1dc8eb1d749faec62e
https://doi.org/10.1109/tii.2019.2945403
https://doi.org/10.1109/tii.2019.2945403
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-23
Human pose estimation has an important impact on a wide range of applications, from human-computer interface to surveillance and content-based video retrieval. For human pose estimation, joint obstructions and overlapping upon human bodies result in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15bd250535e08325cb324973c51e126a
https://doi.org/10.1145/3355612
https://doi.org/10.1145/3355612
Small-object detection is a challenging problem. In the last few years, the convolution neural networks methods have been achieved considerable progress. However, the current detectors struggle with effective features extraction for small-scale objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::892599781467cbdaf1bd4eac3e164d39
