Aussem, Alex

9 publications

ECML-PKDD 2017 Dynamic Ensemble Selection with Probabilistic Classifier Chains Anil Narassiguin, Haytham Elghazel, Alex Aussem

ECML-PKDD 2016 F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets Maxime Gasse, Alex Aussem

PGM 2016 Identifying the Irreducible Disjoint Factors of a Multivariate Probability Distribution Maxime Gasse, Alex Aussem

ECML-PKDD 2015 A Practical Approach to Reduce the Learning Bias Under Covariate Shift Van-Tinh Tran, Alex Aussem

MLJ 2015 Unsupervised Feature Selection with Ensemble Learning Haytham Elghazel, Alex Aussem

ECML-PKDD 2012 An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning Maxime Gasse, Alex Aussem, Haytham Elghazel

ECML-PKDD 2010 An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery Sergio Rodrigues de Morais, Alex Aussem

ECML-PKDD 2008 A Novel Scalable and Data Efficient Feature Subset Selection Algorithm Sergio Rodrigues de Morais, Alex Aussem

NeCo 2002 Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks Alex Aussem