E-LIB Suche - Ergebnisse für: Aussem, A.

1

Modeling the Ultimate Seaweed Expansion:

Hill, D. ; Coquillard, P. ; Aussem, A....
SIMULATION. 76 (2001) 2 - p. 126-134 , 2001

Link: https://doi.org/10.1177/..

2

Neural network modelling for environmental prediction:

Murtagh, F. ; Zheng, G. ; Campbell, J.G..
Neurocomputing. 30 (2000) 1-4 - p. 65-70 , 2000

Link: https://doi.org/10.1016/..

3

Multiscale data analysis - information fusion and constant-..:

Murtagh, F. ; Aussem, A. ; Starck, J.-L.
Vistas in Astronomy. 41 (1997) 3 - p. 359-364 , 1997

Link: https://doi.org/10.1016/..

4

Dynamical recurrent neural networks and pattern recognition..:

Aussem, A. ; Murtagh, F. ; Sarazin, M.
Vistas in Astronomy. 38 (1994) - p. 357-374 , 1994

Link: https://doi.org/10.1016/..

5

A new sentence embedding framework for the education and pr..:

Lefebvre, Guillaume ; Elghazel, Haytham ; Guillet, Theodore..
Data & Knowledge Engineering. 150 (2024) - p. 102281 , 2024

Link: https://doi.org/10.1016/..

6

Building bagging on critical instances:

Guo, Li ; Boukir, Samia ; Aussem, Alexandre
Expert Systems. 37 (2019) 2 - p. , 2019

Link: https://doi.org/10.1111/..

7

On the use of binary stochastic autoencoders for multi-labe..:

Lecoeuche, Denis ; Aussem, Alex ; Gasse, Maxime
Procedia Computer Science. 144 (2018) - p. 71-80 , 2018

Link: https://doi.org/10.1016/..

8

An extensive empirical comparison of ensemble learning meth..:

Narassiguin, Anil ; Bibimoune, Mohamed ; Elghazel, Haytham.
Pattern Analysis and Applications. 19 (2016) 4 - p. 1093-1128 , 2016

Link: https://doi.org/10.1007/..

9

Ensemble multi-label text categorization based on rotation ..:

Elghazel, Haytham ; Aussem, Alex ; Gharroudi, Ouadie.
Expert Systems with Applications. 57 (2016) - p. 1-11 , 2016

Link: https://doi.org/10.1016/..

10

Hip Fracture in the Elderly: A Re-Analysis of the EPIDOS St..:

Caillet, Pascal ; Klemm, Sarah ; Ducher, Michel...
PLOS ONE. 10 (2015) 3 - p. e0120125 , 2015

Link: https://doi.org/10.1371/..

11

A hybrid algorithm for Bayesian network structure learning ..:

Gasse, Maxime ; Aussem, Alex ; Elghazel, Haytham
Expert Systems with Applications. 41 (2014) 15 - p. 6755-6772 , 2014

Link: https://doi.org/10.1016/..

12

Unsupervised feature selection with ensemble learning:

Elghazel, Haytham ; Aussem, Alex
Machine Learning. 98 (2013) 1-2 - p. 157-180 , 2013

Link: https://doi.org/10.1007/..

13

Learning the local Bayesian network structure around the ZN..:

Prestat, Emmanuel ; de Morais, Sérgio Rodrigues ; Vendrell, Julie A....
Computers in Biology and Medicine. 43 (2013) 4 - p. 334-341 , 2013

Link: https://doi.org/10.1016/..

14

A semi-supervised feature ranking method with ensemble lear..:

Bellal, Fazia ; Elghazel, Haytham ; Aussem, Alex
Pattern Recognition Letters. 33 (2012) 10 - p. 1426-1433 , 2012

Link: https://doi.org/10.1016/..

15

Analysis of nasopharyngeal carcinoma risk factors with Baye..:

Aussem, Alex ; de Morais, Sérgio Rodrigues ; Corbex, Marilys
Artificial Intelligence in Medicine. 54 (2012) 1 - p. 53-62 , 2012

Link: https://doi.org/10.1016/..