| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Algorithmic cache of sorted tables for feature selection
|
Arauzo-Azofra, Antonio
|
|
2019
|
33 |
4 |
p. 964-994
|
artikel
|
| 2 |
A new class of metrics for learning on real-valued and structured data
|
Yang, Ruiyu
|
|
2019
|
33 |
4 |
p. 995-1016
|
artikel
|
| 3 |
Automatic discovery of adverse reactions through Chinese social media
|
Zhang, Mengxue
|
|
2019
|
33 |
4 |
p. 848-870
|
artikel
|
| 4 |
Clustering for heterogeneous information networks with extended star-structure
|
Mei, Jian-Ping
|
|
2019
|
33 |
4 |
p. 1059-1087
|
artikel
|
| 5 |
Deep learning for time series classification: a review
|
Ismail Fawaz, Hassan
|
|
2019
|
33 |
4 |
p. 917-963
|
artikel
|
| 6 |
Deep learning for time series classification: a review
|
Ismail Fawaz, Hassan
|
|
|
33 |
4 |
p. 917-963
|
artikel
|
| 7 |
Efficiently mining cohesion-based patterns and rules in event sequences
|
Cule, Boris
|
|
2019
|
33 |
4 |
p. 1125-1182
|
artikel
|
| 8 |
Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations
|
Nguyen, Thach Le
|
|
2019
|
33 |
4 |
p. 1183-1222
|
artikel
|
| 9 |
Setting decision thresholds when operating conditions are uncertain
|
Ferri, Cèsar
|
|
2019
|
33 |
4 |
p. 805-847
|
artikel
|
| 10 |
Subjectively interesting connecting trees and forests
|
Adriaens, Florian
|
|
2019
|
33 |
4 |
p. 1088-1124
|
artikel
|
| 11 |
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models
|
Yamanishi, Kenji
|
|
2019
|
33 |
4 |
p. 1017-1058
|
artikel
|
| 12 |
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
|
Clark, Jessica
|
|
2019
|
33 |
4 |
p. 871-916
|
artikel
|
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