Name
Abstract | ||
|---|---|---|
•Multitask learning uses tasks commonalities to improve individual task prediction.•Uncertainty quantification is essential for many scientific and medical applications.•The proposed model infers task coefficients and task relationship from the data.•The proposed model provides uncertainty quantification along with predicted values.•Experiments show that our model outperforms existing models on biomedical problems. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.yjbinx.2019.100059 | Journal of Biomedical Informatics: X |
Keywords | DocType | Volume |
Multitask learning,Bayesian modeling,Structured learning,Uncertainty quantification,Alzheimer’s disease progression,Biomedical application | Journal | 4 |
ISSN | Citations | PageRank |
2590-177X | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| André Ricardo Gonçalves | 1 | 16 | 6.43 |
| Priyadip Ray | 2 | 0 | 1.01 |
| Braden Soper | 3 | 0 | 0.34 |
| David Widemann | 4 | 0 | 0.34 |
| Mari Nigård | 5 | 0 | 1.35 |
| Jan F. Nygård | 6 | 0 | 1.35 |
| Ana Paula Sales | 7 | 1 | 0.69 |