References in zbMATH (referenced in 61 articles )

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  1. González, Elena; Fernández, Antonio; Bianconi, Francesco: General framework for rotation invariant texture classification through co-occurrence of patterns (2014)
  2. Impedovo, S.; Mangini, F.M.; Barbuzzi, D.: A novel prototype generation technique for handwriting digit recognition (2014)
  3. Jackowski, Konrad: Fixed-size ensemble classifier system evolutionarily adapted to a recurring context with an unlimited pool of classifiers (2014)
  4. Macià, Núria; Bernadó-Mansilla, Ester: Towards UCI+: a mindful repository design (2014)
  5. Mefraz Khan, Naimul; Ksantini, Riadh; Shafiq Ahmad, Imran; Guan, Ling: Covariance-guided one-class support vector machine (2014)
  6. Breve, Fabricio; Zhao, Liang: Fuzzy community structure detection by particle competition and cooperation (2013)
  7. Désir, Chesner; Bernard, Simon; Petitjean, Caroline; Heutte, Laurent: One class random forests (2013)
  8. Li, Jianwu; Wei, Haizhou; Hao, Wangli: Weight-selected attribute bagging for credit scoring (2013)
  9. Xiao, Yingchao; Wang, Huangang; Xu, Wenli; Zhou, Junwu: L1 norm based KPCA for novelty detection (2013)
  10. Cebron, Nicolas: Active improvement of hierarchical object features under budget constraints (2012)
  11. Chan, Patrick P.K.; Yeung, Daniel S.; Ng, Wing W.Y.; Lin, Chih Min; Liu, James N.K.: Dynamic fusion method using localized generalization error model (2012)
  12. Ferreira, Artur J.; Figueiredo, Mário A.T.: An unsupervised approach to feature discretization and selection (2012)
  13. Kelner, Roy; Lerner, Boaz: Learning Bayesian network classifiers by risk minimization (2012)
  14. Kim, Sang-Woon; Oommen, B.John: On using prototype reduction schemes to optimize locally linear reconstruction methods (2012)
  15. Lu, Xiao-Fen; Tang, Ke: Classification- and regression-assisted differential evolution for computationally expensive problems (2012)
  16. Budka, Marcin; Gabrys, Bogdan: Electrostatic field framework for supervised and semi-supervised learning from incomplete data (2011)
  17. Kou, Wei; Chen, Lingen; Sun, Fengrui; Yang, Li: Application of bacterial colony chemotaxis optimization algorithm and RBF neural network in thermal NDT/E for the identification of defect parameters (2011)
  18. Porro-Muñoz, Diana; Duin, Robert P.W.; Talavera, Isneri; Orozco-Alzate, Mauricio: Classification of three-way data by the dissimilarity representation (2011)
  19. Woloszynski, Tomasz; Kurzynski, Marek: A probabilistic model of classifier competence for dynamic ensemble selection (2011)
  20. Aygün, E.; Oommen, B.J.; Cataltepe, Z.: Peptide classification using optimal and information theoretic syntactic modeling (2010)

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