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Aussem, A.
215  Ergebnisse:
englisch X
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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6

BERTEPro : A new Sentence Embedding Framework for the Educa..:

, In: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing,
Lefebvre, Guillaume ; Elghazel, Haytham ; Guillet, Théodore.. - p. 929-935 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Nonparametric neural topic modeling for customer insight ex..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Palencia-Olivar, Miguel ; Bonnevay, Stephane ; Aussem, Alexandre. - p. 01-09 , 2022
Link: https://doi.org/10.1109/..
 
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8

Hierarchical Recurrent Attention Networks for Context-Aware..:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),
Aujogue, Jean-Baptiste ; Aussem, Alex - p. 1-8 , 2019
Link: https://doi.org/10.1109/..
 
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9

Building bagging on critical instances:

Guo, Li ; Boukir, Samia ; Aussem, Alexandre
Expert Systems.  37 (2019)  2 - p. , 2019
Link: https://doi.org/10.1111/..
 
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10

Recurrent Neural Network Approach for Table Field Extractio..:

, In: 2019 International Conference on Document Analysis and Recognition (ICDAR),
Sage, Clement ; Aussem, Alexandre ; Elghazel, Haytham.. - p. 1308-1313 , 2019
Link: https://doi.org/10.1109/..
 
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11

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/..
 
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12

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/..
 
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13

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/..
 
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14

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/..
 
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15

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/..
 
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