TY - JOUR AU - Golub, T. AU - Slonim, D. AU - Tamayo, P. AU - Huard, C. AU - Gaasenbeek, M. AU - Mesirov, J. AU - Coller, H. AU - Loh, M. AU - Downing, J. AU - Caligiuri, M. PY - 1999 DA - 1999// TI - Molecular classification of cancer: class discovery and class prediction by gene expression monitoring JO - Science VL - 286 UR - https://doi.org/10.1126/science.286.5439.531 DO - 10.1126/science.286.5439.531 ID - Golub1999 ER - TY - JOUR AU - Shipp, M. AU - Ross, K. AU - Tamayo, P. AU - Weng, A. AU - Kutok, J. AU - Aguiar, R. AU - Gaasenbeek, M. AU - Angelo, M. AU - Reich, M. AU - Pinkus, G. PY - 2002 DA - 2002// TI - Diffuse large b-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning JO - Nat Med VL - 8 UR - https://doi.org/10.1038/nm0102-68 DO - 10.1038/nm0102-68 ID - Shipp2002 ER - TY - JOUR AU - Veer, L. AU - Dai, H. AU - Vijver, M. AU - He, Y. AU - Hart, A. AU - Mao, M. AU - Peterse, H. AU - Kooy, K. AU - Marton, M. AU - Witteveen, A. PY - 2002 DA - 2002// TI - Gene expression profiling predicts clinical outcome of breast cancer JO - Nature VL - 415 UR - https://doi.org/10.1038/415530a DO - 10.1038/415530a ID - Veer2002 ER - TY - STD TI - Deng S, Zhu L, Huang D. Predicting hub genes associated with cervical cancer through gene co-expression networks. IEEE Comput Soc Press. 2016;13(1):27–35. ID - ref4 ER - TY - JOUR AU - Deng, S. AU - Zhu, L. AU - Huang, D. PY - 2015 DA - 2015// TI - Mining the bladder cancer-associated genes by an integrated strategy for the construction and analysis of differential co-expression networks JO - BMC Genomics VL - 16 UR - https://doi.org/10.1186/1471-2164-16-S3-S4 DO - 10.1186/1471-2164-16-S3-S4 ID - Deng2015 ER - TY - JOUR AU - Wang, W. AU - Lou, B. AU - Li, X. AU - Lou, X. AU - Jin, N. AU - Yan, K. PY - 2019 DA - 2019// TI - Intelligent maintenance frameworks of large-scale grid using genetic algorithm and k-mediods clustering methods JO - World Wide Web VL - 2019 ID - Wang2019 ER - TY - JOUR AU - Deng, S. AU - Cao, S. AU - Huang, D. AU - Wang, Y. PY - 2016 DA - 2016// TI - Identifying stages of kidney renal cell carcinoma by combining gene expression and DNA methylation data JO - IEEE/ACM Trans Comput Biol Bioinform VL - 14 UR - https://doi.org/10.1109/TCBB.2016.2607717 DO - 10.1109/TCBB.2016.2607717 ID - Deng2016 ER - TY - CHAP AU - Elkan, C. PY - 2001 DA - 2001// TI - The foundations of cost-sensitive learning BT - Seventeenth International Joint Conference on Artificial Intelligence ID - Elkan2001 ER - TY - JOUR AU - Zhou, Z. AU - Liu, X. PY - 2006 DA - 2006// TI - Training cost-sensitive neural networks with methods addressing the class imbalance problem JO - IEEE Trans Knowl Data Eng VL - 18 UR - https://doi.org/10.1109/TKDE.2006.17 DO - 10.1109/TKDE.2006.17 ID - Zhou2006 ER - TY - BOOK AU - Yan, K. AU - Zhong, C. AU - Ji, Z. AU - Huang, J. PY - 2018 DA - 2018// TI - Semi-supervised learning for early detection and diagnosis of various air handling unit faults ID - Yan2018 ER - TY - CHAP AU - Liu, X. AU - Zhou, Z. PY - 2007 DA - 2007// TI - The influence of class imbalance on cost-sensitive learning: An empirical study BT - International Conference on Data Mining ID - Liu2007 ER - TY - JOUR AU - Maheshwari, S. AU - Jain, R. AU - Jadon, R. PY - 2018 DA - 2018// TI - An insight into rare class problem: analysis and potential solutions JO - J Comput Sci VL - 14 UR - https://doi.org/10.3844/jcssp.2018.777.792 DO - 10.3844/jcssp.2018.777.792 ID - Maheshwari2018 ER - TY - BOOK AU - Hu, M. AU - Li, W. AU - Yan, K. AU - Ji, Z. AU - Hu, H. PY - 2019 DA - 2019// TI - Modern machine learning techniques for univariate tunnel settlement forecasting: A comparative study ID - Hu2019 ER - TY - CHAP AU - Chai, X. AU - Deng, L. AU - Yang, Q. AU - Ling, C. PY - 2004 DA - 2004// TI - Test-cost sensitive naive bayes classification BT - IEEE International Conference on Data Mining ID - Chai2004 ER - TY - CHAP AU - Feng, S. PY - 2015 DA - 2015// TI - A cost-sensitive decision tree under the condition of multiple classes BT - International Conference on Logistics Engineering, Management and Computer Science ID - Feng2015 ER - TY - JOUR AU - Zhao, H. AU - Li, X. PY - 2016 DA - 2016// TI - A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism JO - Inf Sci VL - 378 ID - Zhao2016 ER - TY - STD TI - Quinlan J. C4.5: Programs for machine learning: Morgan Kaufmann Publishers Inc; 1992. ID - ref17 ER - TY - JOUR AU - Liu, K. AU - Huang, D. PY - 2008 DA - 2008// TI - Cancer classification using rotation forest JO - Comput Biol Med VL - 38 UR - https://doi.org/10.1016/j.compbiomed.2008.02.007 DO - 10.1016/j.compbiomed.2008.02.007 ID - Liu2008 ER - TY - JOUR AU - Lu, H. AU - Yang, L. AU - Yan, K. AU - Xue, Y. AU - Gao, Z. PY - 2017 DA - 2017// TI - A cost-sensitive rotation forest algorithm for gene expression data classification JO - Neurocomputing VL - 228 UR - https://doi.org/10.1016/j.neucom.2016.09.077 DO - 10.1016/j.neucom.2016.09.077 ID - Lu2017 ER - TY - JOUR AU - Turney, P. PY - 1994 DA - 1994// TI - Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm JO - AI Access Foundation VL - 2 ID - Turney1994 ER - TY - CHAP AU - Cao, P. AU - Zhao, D. AU - Zaiane, O. PY - 2013 DA - 2013// TI - An optimized cost-sensitive svm for imbalanced data learning BT - Pacific-Asia Conference on Knowledge Discovery and Data Mining UR - https://doi.org/10.1007/978-3-642-37456-2_24 DO - 10.1007/978-3-642-37456-2_24 ID - Cao2013 ER - TY - JOUR AU - Yuan, H. AU - Zhang, X. PY - 2006 DA - 2006// TI - Multiscale fragile watermarking based on the gaussian mixture model JO - IEEE Trans Image Process VL - 15 UR - https://doi.org/10.1109/TIP.2006.877310 DO - 10.1109/TIP.2006.877310 ID - Yuan2006 ER - TY - CHAP AU - Cheng, D. AU - Wu, M. PY - 2017 DA - 2017// TI - A novel classifier - weighted features cost-sensitive svm BT - IEEE International Conference on Internet of Things ID - Cheng2017 ER - TY - JOUR AU - Silva, J. AU - Bacao, F. AU - Caetano, M. PY - 2017 DA - 2017// TI - Specific land cover class mapping by semi-supervised weighted support vector machines JO - Remote Sens VL - 9 UR - https://doi.org/10.3390/rs9020181 DO - 10.3390/rs9020181 ID - Silva2017 ER - TY - CHAP AU - Cao, P. AU - Liu, X. AU - Zhao, D. AU - Zaiane, O. PY - 2016 DA - 2016// TI - Cost sensitive ranking support vector machine for multi-label data learning BT - International Conference on Hybrid Intelligent Systems ID - Cao2016 ER - TY - JOUR AU - Zong, W. AU - Huang, G. AU - Chen, Y. PY - 2013 DA - 2013// TI - Weighted extreme learning machine for imbalance learning JO - Neurocomputing VL - 101 UR - https://doi.org/10.1016/j.neucom.2012.08.010 DO - 10.1016/j.neucom.2012.08.010 ID - Zong2013 ER - TY - CHAP AU - Zheng, E. AU - Zhang, C. AU - Liu, X. AU - Lu, H. AU - Sun, J. PY - 2013 DA - 2013// TI - Cost-sensitive extreme learning machine BT - International Conference on Advanced Data Mining and Applications UR - https://doi.org/10.1007/978-3-642-53917-6_43 DO - 10.1007/978-3-642-53917-6_43 ID - Zheng2013 ER - TY - JOUR AU - Liu, Y. AU - Lu, H. AU - Yan, K. AU - Xia, H. AU - An, C. PY - 2016 DA - 2016// TI - Applying cost-sensitive extreme learning machine and dissimilarity integration to gene expression data classification JO - Comput Intell Neurosci VL - 2016 ID - Liu2016 ER - TY - STD TI - Yan K, Ji Z, Lu H, Huang J, Shen W, Xue Y. Fast and accurate classification of time series data using extended elm: application in fault diagnosis of air handling units. IEEE Trans Syst Man Cybern Syst. 2017;49(7):1–8. ID - ref29 ER - TY - JOUR AU - Zhang, L. AU - Zhang, D. PY - 2017 DA - 2017// TI - Evolutionary cost-sensitive extreme learning machine JO - IEEE Trans Neural Netw Learn Syst VL - 28 UR - https://doi.org/10.1109/TNNLS.2016.2607757 DO - 10.1109/TNNLS.2016.2607757 ID - Zhang2017 ER - TY - STD TI - Wang S, Li X, Zhang S, Gui J, Huang D. Tumor classification by combining pnn classifier ensemble with neighborhood rough set based gene reduction. Comput Biol Med. 2010;40(2):179–89. ID - ref31 ER - TY - JOUR AU - Wang, S. AU - Zhu, Y. AU - Jia, W. AU - Huang, D. PY - 2012 DA - 2012// TI - Robust classification method of tumor subtype by using correlation filters JO - IEEE/ACM Trans Comput Biol Bioinform VL - 9 UR - https://doi.org/10.1109/TCBB.2011.135 DO - 10.1109/TCBB.2011.135 ID - Wang2012 ER - TY - JOUR AU - Zhu, H. AU - Wang, X. PY - 2017 DA - 2017// TI - A cost-sensitive semi-supervised learning model based on uncertainty JO - Neurocomputing VL - 251 UR - https://doi.org/10.1016/j.neucom.2017.04.010 DO - 10.1016/j.neucom.2017.04.010 ID - Zhu2017 ER - TY - STD TI - Ailijiang A, Charapko A, Demirbas M. Consensus in the cloud: Paxos systems demystified. In: 25th International Conference on Computer Communication and Networks (ICCCN). Waikoloa: IEEE; 2016. p. 1–10. ID - ref34 ER - TY - JOUR AU - Zheng, C. AU - Huang, D. AU - Kong, X. AU - Zhao, X. PY - 2008 DA - 2008// TI - Gene expression data classification using consensus independent component analysis JO - Genomics Proteomics Bioinformatics VL - 6 UR - https://doi.org/10.1016/S1672-0229(08)60022-4 DO - 10.1016/S1672-0229(08)60022-4 ID - Zheng2008 ER - TY - STD TI - Yan K, Ji Z, Shen W. Online fault detection methods for chillers combining extended kalman filter and recursive one-class svm. Neurocomputing. 2017;228(3):205–12. ID - ref36 ER - TY - JOUR AU - Wang, X. AU - Wang, J. AU - Yan, K. PY - 2017 DA - 2017// TI - Gait recognition based on gabor wavelets and (2d) 2 pca JO - Multimed Tools Appl VL - 77 ID - Wang2017 ER - TY - JOUR AU - Pei, S. AU - Huang, D. PY - 2006 DA - 2006// TI - Cooperative competition clustering for gene selection JO - J Clust Sci VL - 17 UR - https://doi.org/10.1007/s10876-006-0077-6 DO - 10.1007/s10876-006-0077-6 ID - Pei2006 ER - TY - JOUR AU - Zheng, C. AU - Zhang, L. AU - Ng, V. AU - Shiu, S. AU - Huang, D. PY - 2011 DA - 2011// TI - Molecular pattern discovery based on penalized matrix decomposition JO - IEEE/ACM Trans Comput Biol Bioinform VL - 8 UR - https://doi.org/10.1109/TCBB.2011.79 DO - 10.1109/TCBB.2011.79 ID - Zheng2011 ER - TY - JOUR AU - Zheng, C. AU - Zhang, L. AU - Ng, T. AU - Shiu, C. AU - Huang, D. PY - 2011 DA - 2011// TI - Metasample-based sparse representation for tumor classification JO - IEEE/ACM Trans Comput Biol Bioinform VL - 8 UR - https://doi.org/10.1109/TCBB.2011.20 DO - 10.1109/TCBB.2011.20 ID - Zheng2011 ER - TY - JOUR AU - Zheng, C. PY - 2009 DA - 2009// TI - Tumor clustering using nonnegative matrix factorization with gene selection JO - IEEE/ACM Trans Comput Biol Bioinform VL - 4 ID - Zheng2009 ER - TY - JOUR AU - Huang, D. AU - Zheng, C. PY - 2006 DA - 2006// TI - Independent component analysis-based penalized discriminant method for tumor classification using gene expression data JO - Bioinformatics VL - 22 UR - https://doi.org/10.1093/bioinformatics/btl190 DO - 10.1093/bioinformatics/btl190 ID - Huang2006 ER - TY - JOUR AU - Huang, D. AU - Yu, H. PY - 2013 DA - 2013// TI - Normalized feature vectors: a novel alignment-free sequence comparison method based on the numbers of adjacent amino acids JO - IEEE/ACM Trans Comput Biol Bioinform VL - 10 UR - https://doi.org/10.1109/TCBB.2013.10 DO - 10.1109/TCBB.2013.10 ID - Huang2013 ER - TY - JOUR AU - Zhao, X. AU - Dheung, Y. AU - Huang, D. PY - 2010 DA - 2010// TI - Analysis of gene expression data using rpem algorithm in normal mixture model with dynamic adjustment of learning rate JO - Int J Pattern Recognit Artif Intell VL - 24 UR - https://doi.org/10.1142/S0218001410008056 DO - 10.1142/S0218001410008056 ID - Zhao2010 ER - TY - JOUR AU - Zheng, C. AU - Huang, D. AU - Shang, L. PY - 2006 DA - 2006// TI - Feature selection in independent component subspace for microarray data classification JO - Neurocomputing VL - 69 UR - https://doi.org/10.1016/j.neucom.2006.02.006 DO - 10.1016/j.neucom.2006.02.006 ID - Zheng2006 ER - TY - JOUR AU - Zheng, C. AU - Huang, D. AU - Sun, Z. AU - Lyu, M. AU - Lok, T. PY - 2006 DA - 2006// TI - Nonnegative independent component analysis based on minimizing mutual information technique JO - Neurocomputing VL - 69 UR - https://doi.org/10.1016/j.neucom.2005.06.008 DO - 10.1016/j.neucom.2005.06.008 ID - Zheng2006 ER - TY - CHAP AU - Cheng, X. AU - Chai, F. AU - Gao, J. AU - Zhang, K. PY - 2011 DA - 2011// TI - 1stopt and global optimization platform-comparison and case study BT - Proceedings of the 4th IEEE International Conference on Computer Science and Information Technology ID - Cheng2011 ER - TY - STD TI - Alejo R, Sotoca JM, García V, Valdovinos RM. Cost-sensitive neural networks and editing techniques for imbalance problems. In: Mexican Conference on Pattern Recognition. Berlin, Heidelberg: Springer; 2010. p. 180–8. ID - ref48 ER -