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Scott McCoy

Also published under: S. McCoy

Publications

Citations

Publications by Year

20032007

Co-Authors:

C. L. CarrW. ChinF. Cobb-PaytonP. DattaD. F. Galletta

Show All Co-Authors (13)

Scott McCoy

Also published under: S. McCoy

Affiliation

College of William and Mary, USA

Publication Topics

Hearing Impairment,
Access Barriers,
Accessible Sites,
Assistive Technology,
Auditor Independence,
Cell Biol,
Community Health Centers,
Component Of Life,
Critical Success Factors,
Data Transfer,
Developed Countries,
Digital Entertainment

Biography

Scott McCoy is an assistant professor in the School of Business at the College of William and Mary. Contact him at scott.mccoy@business.wm.edu.(Based on document published on 7 November 2005).

Publications

Citations

Publications by Year

20032007

Co-Authors:

C. L. Carr
W. Chin
F. Cobb-Payton
P. Datta
D. F. Galletta

Show All Co-Authors (13)

Author's Published Works

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Academy for Engineering and Technology, Fudan University, Shanghai, China(1)
School of Computer Science, Fudan University, Shanghai, China(1)
National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China(1)
Fudan University, Shanghai, China(1)
School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China(1)
2023 IEEE International Conference on Multimedia and Expo (ICME)(1)
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Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Yiqian Xu;Ruofan Wang;Rui-Wei Zhao;Xingxing Xiao;Rui Feng

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

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Open set recognition (OSR) for medical images is vital to ensure practical safeguards in clinical applications. It demands establishing model awareness of rare and unknown conditions, rejecting what the model does not know, and thus preventing these conditions from being dangerously misclassified into any false known classes. Meanwhile, it often further requires training the OSR model based on a m...Show More

Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Yiqian Xu;Ruofan Wang;Rui-Wei Zhao;Xingxing Xiao;Rui Feng

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

Class-aware Variational Auto-encoder for Open Set Recognition

Ruofan Wang;Jiayu Guo;Rui-Wei Zhao;Ling Su;Yingzi Ye;Xiaobo Zhang;Yuejie Zhang;Rui Feng

2023 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2023 | Conference Paper |

Cited by: Papers (4)

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Compared with traditional classification models trained under the closed world assumption, Open Set Recognition (OSR) requires accurate classification for known classes as well as rejection for unknown ones. By modeling the distribution of each known class, Conditional Variational Auto-encoder (CVAE) has achieved great success in OSR, even though it was originally proposed for image generation. In...Show More

Class-aware Variational Auto-encoder for Open Set Recognition

Ruofan Wang;Jiayu Guo;Rui-Wei Zhao;Ling Su;Yingzi Ye;Xiaobo Zhang;Yuejie Zhang;Rui Feng

2023 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2023 | Conference Paper |

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