| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Advances in artificial neural networks, machine learning and computational intelligence
|
Aiolli, Fabio
|
|
2017
|
268 |
C |
p. 1-3
3 p.
|
artikel
|
| 2 |
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition
|
Tsironi, Eleni
|
|
2017
|
268 |
C |
p. 76-86
11 p.
|
artikel
|
| 3 |
Bag-of-steps: Predicting lower-limb fracture rehabilitation length by weight loading analysis
|
Pla, Albert
|
|
2017
|
268 |
C |
p. 109-115
7 p.
|
artikel
|
| 4 |
Combining machine learning models for the automatic detection of EEG arousals
|
Fernández-Varela, Isaac
|
|
2017
|
268 |
C |
p. 100-108
9 p.
|
artikel
|
| 5 |
Converting SVDD scores into probability estimates: Application to outlier detection
|
El Azami, Meriem
|
|
2017
|
268 |
C |
p. 64-75
12 p.
|
artikel
|
| 6 |
Deep reservoir computing: A critical experimental analysis
|
Gallicchio, Claudio
|
|
2017
|
268 |
C |
p. 87-99
13 p.
|
artikel
|
| 7 |
Editorial Board
|
|
|
2017
|
268 |
C |
p. IFC-
1 p.
|
artikel
|
| 8 |
Efficient kernelisation of discriminative dimensionality reduction
|
Schulz, Alexander
|
|
2017
|
268 |
C |
p. 34-41
8 p.
|
artikel
|
| 9 |
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation
|
Polato, Mirko
|
|
2017
|
268 |
C |
p. 17-26
10 p.
|
artikel
|
| 10 |
Fast kernel spectral clustering
|
Langone, Rocco
|
|
2017
|
268 |
C |
p. 27-33
7 p.
|
artikel
|
| 11 |
Grounding the experience of a visual field through sensorimotor contingencies
|
Laflaquière, Alban
|
|
2017
|
268 |
C |
p. 142-152
11 p.
|
artikel
|
| 12 |
Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics
|
Palittapongarnpim, Pantita
|
|
2017
|
268 |
C |
p. 116-126
11 p.
|
artikel
|
| 13 |
Measuring the expressivity of graph kernels through Statistical Learning Theory
|
Oneto, Luca
|
|
2017
|
268 |
C |
p. 4-16
13 p.
|
artikel
|
| 14 |
Modelling of parametrized processes via regression in the model space of neural networks
|
Aswolinskiy, Witali
|
|
2017
|
268 |
C |
p. 55-63
9 p.
|
artikel
|
| 15 |
Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters
|
Casaña-Eslava, Raúl V
|
|
2017
|
268 |
C |
p. 127-141
15 p.
|
artikel
|
| 16 |
Supporting theoretically-grounded model building in the social sciences through interactive visualisation
|
Turkay, Cagatay
|
|
2017
|
268 |
C |
p. 153-163
11 p.
|
artikel
|
| 17 |
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning
|
Nebel, D.
|
|
2017
|
268 |
C |
p. 42-54
13 p.
|
artikel
|
| 18 |
What you see is what you can change: Human-centered machine learning by interactive visualization
|
Sacha, Dominik
|
|
2017
|
268 |
C |
p. 164-175
12 p.
|
artikel
|
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