Alex Aussem

Alexandre Aussem

2008
29	EE	Sergio 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
27	EE	Sergio 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
26	EE	Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem: SOM based clustering with instance-level constraints. ESANN 2008: 313-318
25	EE	Alex Aussem, Sergio Rodrigues de Morais: A Conservative Feature Subset Selection Algorithm with Missing Data. ICDM 2008: 725-730
2007
24	EE	Alex 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
21	EE	Zahra Kebaili, Alex Aussem: A novel Bayesian Network structure learning algorithm based on minimal correlated itemset mining techniques. ICDIM 2007: 121-126
20	EE	Grégory Thibault, Stéphane Bonnevay, Alexandre Aussem: Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis. ICDIM 2007: 127-132
19	EE	Alex 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
17	EE	Alexandre Aussem, Pierre Chainais: Modelling switching dynamics using prediction experts operating on distinct wavelet scales. ESANN 2006: 185-190
16	EE	Antoine Mahul, Alexandre Aussem: Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints. ESANN 2006: 455-460
15	EE	Zahra 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
14	EE	Alex Aussem: Closed Loop Stability of FIR-Recurrent Neural Networks. ICANN 2003: 523-529
13	EE	Antoine 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
11	EE	Alex Aussem: Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks. Neural Computation 14(8): 1907-1927 (2002)
2001
10	EE	Alex 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
8	EE	Alex Aussem: Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural Networks. IJCNN (4) 2000: 577-582
7	EE	Alex 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
6	EE	Fionn Murtagh, G. Zheng, J. G. Campbell, Alex Aussem: Neural network modelling for environmental prediction. Neurocomputing 30(1-4): 65-70 (2000)
5	EE	Alex 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
4	EE	Alex Aussem: Dynamical recurrent neural networks towards prediction and modeling of dynamical systems. Neurocomputing 28(1-3): 207-232 (1999)
1997
3	EE	Alex Aussem, Fionn Murtagh: Combining Neural Network Forecasts on Wavelet-transformed Time Series. Connect. Sci. 9(1): 113-122 (1997)
1996
2	EE	Alex Aussem, Fionn Murtagh, Marc Sarazin: Fuzzy astronomical seeing nowcasts with a dynamical and recurrent connectionist network. Neurocomputing 13(2-4): 359-373 (1996)
1995
1	EE	Alex 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

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

Colors in the list of coauthors