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## Search the dblp DataBase
Alex Aussem:
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## Publications of Author- Alex Aussem, Jean-Marc Petit
**e-functional dependency inference: application to DNA microarray expression data.**[Citation Graph (0, 0)][DBLP] BDA, 2002, pp:- [Conf] - Alex Aussem, C. Boutevin
**Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts.**[Citation Graph (0, 0)][DBLP] ESANN, 2001, pp:251-256 [Conf] - Alex Aussem
**Closed Loop Stability of FIR-Recurrent Neural Networks.**[Citation Graph (0, 0)][DBLP] ICANN, 2003, pp:523-529 [Conf] - Alex Aussem
**Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural Networks.**[Citation Graph (0, 0)][DBLP] IJCNN (4), 2000, pp:577-582 [Conf] - Alex Aussem, Antoine Mahul, Raymond Marie
**Queuing Network Modeling with Distributed Neural Networks for Service Quality Estimation in B-ISDN Network.**[Citation Graph (0, 0)][DBLP] IJCNN (5), 2000, pp:392-397 [Conf] - Alex Aussem, Fionn Murtagh
**Combining Neural Network Forecasts on Wavelet-transformed Time Series.**[Citation Graph (0, 0)][DBLP] Connect. Sci., 1997, v:9, n:1, pp:113-122 [Journal] - Antoine Mahul, Alex Aussem
**Distributed Neural Networks for Quality of Service Estimation in Communication Networks.**[Citation Graph (0, 0)][DBLP] International Journal of Computational Intelligence and Applications, 2003, v:3, n:3, pp:297-308 [Journal] - Alex Aussem, Fionn Murtagh
**Web traffic demand forecasting using wavelet-based multiscale decomposition.**[Citation Graph (0, 0)][DBLP] Int. J. Intell. Syst., 2001, v:16, n:2, pp:215-236 [Journal] - Alex Aussem, Fionn Murtagh, Marc Sarazin
**Dynamical recurrent neural networks -- towards environmental time series prediction.**[Citation Graph (0, 0)][DBLP] Int. J. Neural Syst., 1995, v:6, n:2, pp:145-170 [Journal] - Alex Aussem
**Dynamical recurrent neural networks towards prediction and modeling of dynamical systems.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 1999, v:28, n:1-3, pp:207-232 [Journal] - Alex Aussem, David Hill
**Neural-network metamodelling for the prediction of Caulerpa taxifolia development in the Mediterranean sea.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2000, v:30, n:1-4, pp:71-78 [Journal] - Alex Aussem, Fionn Murtagh, Marc Sarazin
**Fuzzy astronomical seeing nowcasts with a dynamical and recurrent connectionist network.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 1996, v:13, n:2-4, pp:359-373 [Journal] - Fionn Murtagh, G. Zheng, J. G. Campbell, Alex Aussem
**Neural network modelling for environmental prediction.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2000, v:30, n:1-4, pp:65-70 [Journal] - Alex Aussem
**Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2002, v:14, n:8, pp:1907-1927 [Journal] - Alex Aussem, Sergio Rodrigues de Morais, Marilys Corbex
**Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm.**[Citation Graph (0, 0)][DBLP] AIME, 2007, pp:326-330 [Conf] **Robust Gene Selection from Microarray Data with a Novel Markov Boundary Learning Method: Application to Diabetes Analysis.**[Citation Graph (, )][DBLP]**Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methods.**[Citation Graph (, )][DBLP]**A Conservative Feature Subset Selection Algorithm with Missing Data.**[Citation Graph (, )][DBLP]**Incremental Bayesian Network Learning for Scalable Feature Selection.**[Citation Graph (, )][DBLP]**Exploiting Data Missingness in Bayesian Network Modeling.**[Citation Graph (, )][DBLP]**A Novel Scalable and Data Efficient Feature Subset Selection Algorithm.**[Citation Graph (, )][DBLP]**An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery.**[Citation Graph (, )][DBLP]**Analysis of Nasopharyngeal Carcinoma Data with a Novel Bayesian Network Learning Algorithm.**[Citation Graph (, )][DBLP]**A novel Bayesian Network structure learning algorithm based on minimal correlated itemset mining techniques.**[Citation Graph (, )][DBLP]
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