Alex Aussem

Alexandre Aussem

	2012
43		Alex Aussem, Sergio Rodrigues de Morais, Marilys Corbex: Analysis of nasopharyngeal carcinoma risk factors with Bayesian networks. Artificial Intelligence in Medicine 54(1): 53-62 (2012)
42		Fazia Bellal, Haytham Elghazel, Alex Aussem: A semi-supervised feature ranking method with ensemble learning. Pattern Recognition Letters 33(10): 1426-1432 (2012)
	2011
41		Hasna Barkia, Haytham Elghazel, Alex Aussem: Semi-supervised Feature Importance Evaluation with Ensemble Learning. ICDM 2011: 31-40
40		Haytham Elghazel, Alex Aussem, Florence Perraud: Trading-Off Diversity and Accuracy for Optimal Ensemble Tree Selection in Random Forests. Ensembles in Machine Learning Applications 2011: 169-179
	2010
39		Sergio Rodrigues de Morais, Alex Aussem: An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery. ECML/PKDD (3) 2010: 164-179
38		Haytham Elghazel, Alex Aussem: Feature Selection for Unsupervised Learning Using Random Cluster Ensembles. ICDM 2010: 168-175
37		Alex Aussem, André Tchernof, Sergio Rodrigues de Morais, Sophie Rome: Analysis of lifestyle and metabolic predictors of visceral obesity with Bayesian Networks. BMC Bioinformatics 11: 487 (2010)
36		Alex Aussem: Bayesian networks. Neurocomputing 73(4-6): 561-562 (2010)
35		Sergio Rodrigues de Morais, Alex Aussem: A novel Markov boundary based feature subset selection algorithm. Neurocomputing 73(4-6): 578-584 (2010)
34		Alex Aussem, Sergio Rodrigues de Morais: A conservative feature subset selection algorithm with missing data. Neurocomputing 73(4-6): 585-590 (2010)
	2009
33		Alex Aussem, Sergio Rodrigues de Morais, Florence Perraud, Sophie Rome: Robust Gene Selection from Microarray Data with a Novel Markov Boundary Learning Method: Application to Diabetes Analysis. ECSQARU 2009: 724-735
32		Alex Aussem, Sergio Rodrigues de Morais, Marilys Corbex, Joël Favrel: Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methods. GbRPR 2009: 52-61
31		Grégory Thibault, Alex Aussem, Stéphane Bonnevay: Incremental Bayesian Network Learning for Scalable Feature Selection. IDA 2009: 202-212
30		Sergio Rodrigues de Morais, Alex Aussem: Exploiting Data Missingness in Bayesian Network Modeling. IDA 2009: 35-46
	2008
29		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		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		Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem: SOM based clustering with instance-level constraints. ESANN 2008: 313-318
25		Alex Aussem, Sergio Rodrigues de Morais: A Conservative Feature Subset Selection Algorithm with Missing Data. ICDM 2008: 725-730
	2007
24		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		Zahra Kebaili, Alex Aussem: A novel Bayesian Network structure learning algorithm based on minimal correlated itemset mining techniques. ICDIM 2007: 121-126
20		Grégory Thibault, Stéphane Bonnevay, Alexandre Aussem: Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis. ICDIM 2007: 127-132
19		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		Alexandre Aussem, Pierre Chainais: Modelling switching dynamics using prediction experts operating on distinct wavelet scales. ESANN 2006: 185-190
16		Antoine Mahul, Alexandre Aussem: Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints. ESANN 2006: 455-460
15		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		Alex Aussem: Closed Loop Stability of FIR-Recurrent Neural Networks. ICANN 2003: 523-529
13		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		Alex Aussem: Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks. Neural Computation 14(8): 1907-1927 (2002)
	2001
10		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		Alex Aussem: Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural Networks. IJCNN (4) 2000: 577-582
7		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		Fionn Murtagh, G. Zheng, J. G. Campbell, Alex Aussem: Neural network modelling for environmental prediction. Neurocomputing 30(1-4): 65-70 (2000)
5		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		Alex Aussem: Dynamical recurrent neural networks towards prediction and modeling of dynamical systems. Neurocomputing 28(1-3): 207-232 (1999)
	1997
3		Alex Aussem, Fionn Murtagh: Combining Neural Network Forecasts on Wavelet-transformed Time Series. Connect. Sci. 9(1): 113-122 (1997)
	1996
2		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		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	Hasna Barkia	[41]
2	Fazia Bellal	[26] [28] [42]
3	Anouar BenaHassena	[28]
4	Khalid Benabdeslem	[22] [26] [28]
5	Stéphane Bonnevay	[20] [31]
6	C. Boutevin	[10]
7	J. G. Campbell	[6]
8	Bruno Canitia	[28]
9	Pierre Chainais	[15] [17]
10	Marilys Corbex	[18] [19] [22] [23] [24] [27] [32] [43]
11	Haytham Elghazel	[38] [40] [41] [42]
12	Joël Favrel	[32]
13	David Hill	[5]
14	Zahra Kebaili	[18] [21]
15	Mustapha Lebbah	[22]
16	Antoine Mahul	[7] [13] [16]
17	Zahra Hamou Mamar	[15]
18	Fabien De Marchi	[18]
19	Raymond Marie	[7]
20	Sergio Rodrigues de Morais	[19] [23] [24] [25] [27] [29] [30] [32] [33] [34] [35] [37] [39] [43]
21	Fionn Murtagh	[1] [2] [3] [6] [9]
22	Florence Perraud	[33] [40]
23	Jean-Marc Petit	[12]
24	Sophie Rome	[33] [37]
25	Marc Sarazin	[1] [2]
26	André Tchernof	[37]
27	Grégory Thibault	[20] [31]
28	G. Zheng	[6]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page