| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning
|
Hajdu, András
|
|
|
111 |
4 |
p. 1551-1595
|
artikel
|
| 2 |
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework
|
Mitchener, Ludovico
|
|
|
111 |
4 |
p. 1523-1549
|
artikel
|
| 3 |
Efficient SVDD sampling with approximation guarantees for the decision boundary
|
Englhardt, Adrian
|
|
|
111 |
4 |
p. 1349-1375
|
artikel
|
| 4 |
Few-shot learning for spatial regression via neural embedding-based Gaussian processes
|
Iwata, Tomoharu
|
|
|
111 |
4 |
p. 1239-1257
|
artikel
|
| 5 |
Handling epistemic and aleatory uncertainties in probabilistic circuits
|
Cerutti, Federico
|
|
|
111 |
4 |
p. 1259-1301
|
artikel
|
| 6 |
Improving sequential latent variable models with autoregressive flows
|
Marino, Joseph
|
|
|
111 |
4 |
p. 1597-1620
|
artikel
|
| 7 |
Lifting symmetry breaking constraints with inductive logic programming
|
Tarzariol, Alice
|
|
|
111 |
4 |
p. 1303-1326
|
artikel
|
| 8 |
Lipschitzness is all you need to tame off-policy generative adversarial imitation learning
|
Blondé, Lionel
|
|
|
111 |
4 |
p. 1431-1521
|
artikel
|
| 9 |
Polynomial-based graph convolutional neural networks for graph classification
|
Pasa, Luca
|
|
|
111 |
4 |
p. 1205-1237
|
artikel
|
| 10 |
SDANet: spatial deep attention-based for point cloud classification and segmentation
|
Gao, Jiangjiang
|
|
|
111 |
4 |
p. 1327-1348
|
artikel
|
| 11 |
Time-aware tensor decomposition for sparse tensors
|
Ahn, Dawon
|
|
|
111 |
4 |
p. 1409-1430
|
artikel
|
| 12 |
Unsupervised anomaly detection in multivariate time series with online evolving spiking neural networks
|
Bäßler, Dennis
|
|
|
111 |
4 |
p. 1377-1408
|
artikel
|
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