Name
Abstract | ||
|---|---|---|
•Quantification of predictive uncertainty using belief estimation and subjective logic.•Sample rejection based on predictive uncertainty leads to significant performance gain.•Predictive uncertainty correlates with multi-expert consensus decision.•Uncertainty-driven bootstrapping can improve system training and test performance. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2020.101855 | Medical Image Analysis |
Keywords | DocType | Volume |
Predictive uncertainty quantification,Classification uncertainty,Belief estimation,Theory of evidence,Sample rejection,Building user trust | Journal | 68 |
ISSN | Citations | PageRank |
1361-8415 | 1 | 0.36 |
References | Authors | |
26 | 14 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florin C. Ghesu | 1 | 96 | 9.17 |
| Bogdan Georgescu | 2 | 1638 | 138.49 |
| Awais Mansoor | 3 | 1 | 0.36 |
| Youngjin Yoo | 4 | 122 | 9.07 |
| Eli Gibson | 5 | 188 | 23.91 |
| R. S. Vishwanath | 6 | 1 | 0.36 |
| Abishek Balachandran | 7 | 1 | 1.04 |
| James M. Balter | 8 | 63 | 8.12 |
| Yue Cao | 9 | 1 | 0.36 |
| Ramandeep Singh | 10 | 2 | 1.07 |
| Subba R. Digumarthy | 11 | 5 | 1.45 |
| Mannudeep Kalra | 12 | 144 | 14.28 |
| Sasa Grbic | 13 | 82 | 13.77 |
| Dorin Comaniciu | 14 | 8389 | 601.83 |