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Alex Aussem

Alexandre Aussem

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2008
29EESergio Rodrigues de Morais, Alex Aussem: A Novel Scalable and Data Efficient Feature Subset Selection Algorithm. ECML/PKDD (2) 2008: 298-312
28 Anouar BenaHassena, Khalid Benabdeslem, Fazia Bellal, Alexandre Aussem, Bruno Canitia: Intégration de contraintes dans les cartes auto-organisatrices. EGC 2008: 643-648
27EESergio Rodrigues de Morais, Alexandre Aussem, Marilys Corbex: Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification. ESANN 2008: 101-106
26EEFazia Bellal, Khalid Benabdeslem, Alexandre Aussem: SOM based clustering with instance-level constraints. ESANN 2008: 313-318
25EEAlex Aussem, Sergio Rodrigues de Morais: A Conservative Feature Subset Selection Algorithm with Missing Data. ICDM 2008: 725-730
2007
24EEAlex Aussem, Sergio Rodrigues de Morais, Marilys Corbex: Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm. AIME 2007: 326-330
23 Alexandre Aussem, Sergio Rodrigues de Morais, Marilys Corbex: Application des réseaux bayésiens à l'analyse des facteurs impliqués dans le cancer du Nasopharynx. EGC 2007: 123-134
22 Khalid Benabdeslem, Mustapha Lebbah, Alexandre Aussem, Marilys Corbex: Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique. EGC 2007: 445-454
21EEZahra Kebaili, Alex Aussem: A novel Bayesian Network structure learning algorithm based on minimal correlated itemset mining techniques. ICDIM 2007: 121-126
20EEGrégory Thibault, Stéphane Bonnevay, Alexandre Aussem: Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis. ICDIM 2007: 127-132
19EEAlex Aussem, Sergio Rodrigues de Morais, Marilys Corbex: Analysis of Nasopharyngeal Carcinoma Data with a Novel Bayesian Network Learning Algorithm. RIVF 2007: 281-288
2006
18 Alexandre Aussem, Zahra Kebaili, Marilys Corbex, Fabien De Marchi: Apprentissage de la structure des réseaux bayésiens à partir des motifs fréquents corrélés : application à l'identification des facteurs environnementaux du cancer du Nasopharynx. EGC 2006: 651-662
17EEAlexandre Aussem, Pierre Chainais: Modelling switching dynamics using prediction experts operating on distinct wavelet scales. ESANN 2006: 185-190
16EEAntoine Mahul, Alexandre Aussem: Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints. ESANN 2006: 455-460
15EEZahra Hamou Mamar, Pierre Chainais, Alexandre Aussem: Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system. ESANN 2006: 659-664
2003
14EEAlex Aussem: Closed Loop Stability of FIR-Recurrent Neural Networks. ICANN 2003: 523-529
13EEAntoine Mahul, Alex Aussem: Distributed Neural Networks for Quality of Service Estimation in Communication Networks. International Journal of Computational Intelligence and Applications 3(3): 297-308 (2003)
2002
12 Alex Aussem, Jean-Marc Petit: e-functional dependency inference: application to DNA microarray expression data. BDA 2002
11EEAlex Aussem: Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks. Neural Computation 14(8): 1907-1927 (2002)
2001
10EEAlex Aussem, C. Boutevin: Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts. ESANN 2001: 251-256
9 Alex Aussem, Fionn Murtagh: Web traffic demand forecasting using wavelet-based multiscale decomposition. Int. J. Intell. Syst. 16(2): 215-236 (2001)
2000
8EEAlex Aussem: Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural Networks. IJCNN (4) 2000: 577-582
7EEAlex Aussem, Antoine Mahul, Raymond Marie: Queuing Network Modeling with Distributed Neural Networks for Service Quality Estimation in B-ISDN Network. IJCNN (5) 2000: 392-397
6EEFionn Murtagh, G. Zheng, J. G. Campbell, Alex Aussem: Neural network modelling for environmental prediction. Neurocomputing 30(1-4): 65-70 (2000)
5EEAlex Aussem, David Hill: Neural-network metamodelling for the prediction of Caulerpa taxifolia development in the Mediterranean sea. Neurocomputing 30(1-4): 71-78 (2000)
1999
4EEAlex Aussem: Dynamical recurrent neural networks towards prediction and modeling of dynamical systems. Neurocomputing 28(1-3): 207-232 (1999)
1997
3EEAlex Aussem, Fionn Murtagh: Combining Neural Network Forecasts on Wavelet-transformed Time Series. Connect. Sci. 9(1): 113-122 (1997)
1996
2EEAlex Aussem, Fionn Murtagh, Marc Sarazin: Fuzzy astronomical seeing nowcasts with a dynamical and recurrent connectionist network. Neurocomputing 13(2-4): 359-373 (1996)
1995
1EEAlex Aussem, Fionn Murtagh, Marc Sarazin: Dynamical recurrent neural networks -- towards environmental time series prediction. Int. J. Neural Syst. 6(2): 145-170 (1995)

Coauthor Index

1Fazia Bellal [26] [28]
2Anouar BenaHassena [28]
3Khalid Benabdeslem [22] [26] [28]
4Stéphane Bonnevay [20]
5C. Boutevin [10]
6J. G. Campbell [6]
7Bruno Canitia [28]
8Pierre Chainais [15] [17]
9Marilys Corbex [18] [19] [22] [23] [24] [27]
10David Hill [5]
11Zahra Kebaili [18] [21]
12Mustapha Lebbah [22]
13Antoine Mahul [7] [13] [16]
14Zahra Hamou Mamar [15]
15Fabien De Marchi [18]
16Raymond Marie [7]
17Sergio Rodrigues de Morais [19] [23] [24] [25] [27] [29]
18Fionn Murtagh [1] [2] [3] [6] [9]
19Jean-Marc Petit [12]
20Marc Sarazin [1] [2]
21Grégory Thibault [20]
22G. Zheng [6]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)