1. Using diversity of errors for selecting members of a committee classifier;Aksela;Pattern Recognition,2006
2. Multiobjective gas, quantitative indices, and pattern classification;Bandyopadhyay;IEEE Transactions on System, Man, and Cybernetics – Part B,2004
3. N. Benahmed, Optimisation de réseaux de neurones pour la reconnaissance de chiffres manuscrits isolés: Sélection et pondération des primitives par algorithmes génétiques, Master’s thesis, École de technologie supérieure, 2002.
4. Bagging predictors;Breiman;Machine Learning,1996
5. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization;Dietterich;Machine Learning,2000