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

1

Intérêt de la batterie cognitive informatisée MEDIAG sur ta..:

Croisile, B. ; Henry, P. ; Lesourd, M....
Revue Neurologique. 169 (2013) - p. A7 , 2013

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

2

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/..

3

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/..

4

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/..

5

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/..

6

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/..

7

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..

8

Answering Student Queries with a Supervised Memory Conversa..:

Baud, Florian ; Aussem, Alex
The International FLAIRS Conference Proceedings. 36 (2023) - p. , 2023

Link: https://doi.org/10.32473..

9

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/..

10

Neural Embedded Dirichlet Processes for Topic Modeling:

, In: Modeling Decisions for Artificial Intelligence; Lecture Notes in Computer Science,

Palencia-Olivar, Miguel ; Bonnevay, Stéphane ; Aussem, Alexandre. - p. 299-310 , 2021

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

11

Data-Efficient Information Extraction from Documents with P..:

, In: Document Analysis and Recognition – ICDAR 2021 Workshops; Lecture Notes in Computer Science,

Sage, Clément ; Douzon, Thibault ; Aussem, Alex... - p. 455-469 , 2021

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

12

Building bagging on critical instances:

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

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

13

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/..

14

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/..

15

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/..