References in zbMATH (referenced in 63 articles )

1. Diaz-Chito, Katerine; del Rincón, Jesús Martínez; Hernández-Sabaté, Aura; Rusiñol, Marçal; Ferri, Francesc J.: Fast kernel generalized discriminative common vectors for feature extraction (2018)
2. González, Elena; Fernández, Antonio; Bianconi, Francesco: General framework for rotation invariant texture classification through co-occurrence of patterns (2014)
3. Impedovo, S.; Mangini, F. M.; Barbuzzi, D.: A novel prototype generation technique for handwriting digit recognition (2014) ioport
4. Jackowski, Konrad: Fixed-size ensemble classifier system evolutionarily adapted to a recurring context with an unlimited pool of classifiers (2014) ioport
5. Macià, Núria; Bernadó-Mansilla, Ester: Towards UCI+: a mindful repository design (2014) ioport
6. Mefraz Khan, Naimul; Ksantini, Riadh; Shafiq Ahmad, Imran; Guan, Ling: Covariance-guided one-class support vector machine (2014) ioport
7. Zhang, Chun-Xia; Wang, Guan-Wei; Zhang, Jiang-She; Guo, Gao; Ying, Qing-Yan: IRUSRT: a novel imbalanced learning technique by combining inverse random under sampling and random tree (2014) ioport
8. Breve, Fabricio; Zhao, Liang: Fuzzy community structure detection by particle competition and cooperation (2013) ioport
9. Désir, Chesner; Bernard, Simon; Petitjean, Caroline; Heutte, Laurent: One class random forests (2013) ioport
10. Li, Jianwu; Wei, Haizhou; Hao, Wangli: Weight-selected attribute bagging for credit scoring (2013)
11. Xiao, Yingchao; Wang, Huangang; Xu, Wenli; Zhou, Junwu: L1 norm based KPCA for novelty detection (2013)
12. Cebron, Nicolas: Active improvement of hierarchical object features under budget constraints (2012) ioport
13. 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) ioport
14. Ferreira, Artur J.; Figueiredo, Mário A. T.: An unsupervised approach to feature discretization and selection (2012) ioport
15. Kelner, Roy; Lerner, Boaz: Learning Bayesian network classifiers by risk minimization (2012)
16. Kim, Sang-Woon; Oommen, B. John: On using prototype reduction schemes to optimize locally linear reconstruction methods (2012) ioport
17. Lu, Xiao-Fen; Tang, Ke: Classification- and regression-assisted differential evolution for computationally expensive problems (2012) ioport
18. Budka, Marcin; Gabrys, Bogdan: Electrostatic field framework for supervised and semi-supervised learning from incomplete data (2011) ioport
19. 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)
20. Porro-Muñoz, Diana; Duin, Robert P. W.; Talavera, Isneri; Orozco-Alzate, Mauricio: Classification of three-way data by the dissimilarity representation (2011) ioport