## 3 Class Imbalance Problem
### Genetic Algorithm Architecture for Class Imbalance Problem
#### 3.4.2 Genetic Operators
* [PERSON] and [PERSON] (2010) [PERSON]; [PERSON] Biased discriminant Euclidean embedding for content-based image retrieval. _IEEE Trans. Image Process._**2010**, _19_, 545-554. * [PERSON] and [PERSON] (2007) [PERSON]; [PERSON] [PERSON] A novel evolutionary approach for optimizing content-based image indexing algorithms. _IEEE Trans. Syst. Man, Cybern. B Cybern._**2007**, _37_, 139-153. * [PERSON] et al. (2004) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Content-based image retrieval based on a fuzzy approach. _IEEE Trans. Knowl. Data Eng._**2004**, _16_, 1185-1199. * [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] A novel active learning method in relevance feedback for content-based remote sensing image retrieval. _IEEE Trans. Geosci. Remote Sens._**2015**, _53_, 2323-2334. * [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] Content-based Image Retrieval by Exploring Bandletized Regions through Support Vector Machines. _J. Inf. Sci. Eng._**2016**, _32_, 245-269. * [PERSON] (2016) [PERSON] Clustering Binary Signature Applied in Content-Based Image Retrieval. In _New Advances in Information Systems and Technologies_; Springer: Cham, Switzerland, 2016; pp. 233-242. * [PERSON] et al. (2008) [PERSON]; [PERSON]; [PERSON] Mining semantic correlation of heterogeneous multimedia data for cross-media retrieval. _IEEE Trans. Multimedia_**2008**, _10_, 221-229. * [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON] Structural regularized support vector machine: A framework for structural large margin classifier. _IEEE Trans. Neural Netw._**2011**, _22_, 573-587. * [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Graph-based clustering and ranking for diversified image search. _Multimed. Syst._**2014**, _23_, 41-52. * [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Multi-task Support Vector Machines for Feature Selection with Shared Knowledge Discovery. _Signal Process._**2014**, _120_, 746-753. * [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] A review on ensembles for the class imbalance problem: Bagging-, boosting-, and hybrid-based approaches. _IEEE Trans. Syst. Man Cybern. Part C Appl. Rev._**2012**, _42_, 463-484. * [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] Categorical image retrieval through genetically optimized support vector machines (GOSVM) and hybrid texture features. _Signal Image Video Process._**2015**, \(9\), 1503-1519. * [PERSON] and [PERSON] (2006) [PERSON]; [PERSON] 10 challenging problems in data mining research. _Int. J. Inf. Technol. Decis. Mak._**2006**, \(5\), 597-604. * [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Towards cross-category knowledge propagation for learning visual concepts. In Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, USA, 20-25 June 2011; pp. 897-904. * [PERSON] et al. (2009) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Bagging null space locality preserving discriminant classifiers for face recognition. _Pattern Recognit._**2009**, _42_, 1853-1858. * [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] SVM classification for imbalanced data using conformal kernel transformation. In Proceedings of the 2014 IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, China, 6-11 July 2014; pp. 2894-2900. * [PERSON] et al. (2014) [PERSON]; [PERSON]; [PERSON] Adjusted F-measure and kernel scaling for imbalanced data learning. _Inf. Sci._**2014**, _257_, 331-341. * [PERSON] et al. (2006) [PERSON]; [PERSON]; [PERSON]; [PERSON] Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval. _IEEE Trans. Pattern Anal. Mach. Intell._**2006**, _28_, 1088-1099. * [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON] A new integrated SVM classifiers for relevance feedback content-based image retrieval using EM parameter estimation. _Appl. Soft Comput._**2011**, _11_, 2787-2804.