| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adversarial learning for counterfactual fairness
|
Grari, Vincent
|
|
|
112 |
3 |
p. 741-763
|
artikel
|
| 2 |
Adversarial vulnerability bounds for Gaussian process classification
|
Smith, Michael Thomas
|
|
|
112 |
3 |
p. 971-1009
|
artikel
|
| 3 |
Beyond confusion matrix: learning from multiple annotators with awareness of instance features
|
Li, Jingzheng
|
|
|
112 |
3 |
p. 1053-1075
|
artikel
|
| 4 |
DAFS: a domain aware few shot generative model for event detection
|
Xia, Nan
|
|
|
112 |
3 |
p. 1011-1031
|
artikel
|
| 5 |
Explicit Explore, Exploit, or Escape (E4): near-optimal safety-constrained reinforcement learning in polynomial time
|
Bossens, David M.
|
|
|
112 |
3 |
p. 817-858
|
artikel
|
| 6 |
Forecasting upper atmospheric scalars advection using deep learning: an O3 experiment
|
Steffenel, Luiz Angelo
|
|
|
112 |
3 |
p. 765-788
|
artikel
|
| 7 |
Inference over radiative transfer models using variational and expectation maximization methods
|
Svendsen, Daniel Heestermans
|
|
|
112 |
3 |
p. 921-937
|
artikel
|
| 8 |
Machine truth serum: a surprisingly popular approach to improving ensemble methods
|
Luo, Tianyi
|
|
|
112 |
3 |
p. 789-815
|
artikel
|
| 9 |
Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation
|
Nakajima, Shota
|
|
|
112 |
3 |
p. 889-919
|
artikel
|
| 10 |
Responsible model deployment via model-agnostic uncertainty learning
|
Lahoti, Preethi
|
|
|
112 |
3 |
p. 939-970
|
artikel
|
| 11 |
Safety-constrained reinforcement learning with a distributional safety critic
|
Yang, Qisong
|
|
|
112 |
3 |
p. 859-887
|
artikel
|
| 12 |
Troubleshooting image segmentation models with human-in-the-loop
|
Wang, Haotao
|
|
|
112 |
3 |
p. 1033-1051
|
artikel
|
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