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Author:
Zhi-Hua Zhou: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yang Yu, Zhi-Hua Zhou
    A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang
    Improve Web Search Using Image Snippets. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Zhi-Hua Zhou, Xu-Ying Liu
    On Multi-Class Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  4. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
    Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. [Citation Graph (0, 0)][DBLP]
    AMFG, 2005, pp:350-363 [Conf]
  5. Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhi-Hua Zhou
    Meta-game Equilibrium for Multi-agent Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:930-936 [Conf]
  6. Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
    FANRE: A Fast Adaptive Neural Regression Estimator. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1999, pp:48-59 [Conf]
  7. Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang
    Locating Regions of Interest in CBIR with Multi-instance Learning Techniques. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:92-101 [Conf]
  8. Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
    Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:138-145 [Conf]
  9. Xiao-Bing Xue, Zhi-Hua Zhou
    Distributional Features for Text Categorization. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:497-508 [Conf]
  10. Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
    Exploiting Unlabeled Data in Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:525-536 [Conf]
  11. Zhi-Hua Zhou, Min-Ling Zhang
    Ensembles of Multi-instance Learners. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:492-502 [Conf]
  12. Fu Jie Huang, Tsuhan Chen, Zhi-Hua Zhou, Hong-Jiang Zhang
    Pose Invariant Face Recognition. [Citation Graph (0, 0)][DBLP]
    FG, 2000, pp:245-250 [Conf]
  13. Zhi-Hua Zhou, Hong-Bin Dai
    Query-Sensitive Similarity Measure for Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1211-1215 [Conf]
  14. Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
    Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1178-1182 [Conf]
  15. Xu-Ying Liu, Zhi-Hua Zhou
    The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:970-974 [Conf]
  16. Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou
    Exploratory Under-Sampling for Class-Imbalance Learning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:965-969 [Conf]
  17. Junping Zhang, Li He, Zhi-Hua Zhou
    Ensemble-Based Discriminant Manifold Learning for Face Recognition. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2006, pp:29-38 [Conf]
  18. Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
    Mining Typhoon Knowledge with Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1999, pp:325-326 [Conf]
  19. Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen
    A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2003, pp:565-569 [Conf]
  20. Yu-Bin Yang, Shifu Chen, Zhi-Hua Zhou, Hui Lin, Yukun Ye
    An Intelligent Medical Image Understanding Method Using Two-Tier Neural Network Ensembles. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2005, pp:616-618 [Conf]
  21. Zhi-Hua Zhou, Yuan Jiang, Xu-Ri Yin, Shifu Chen
    The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:325-334 [Conf]
  22. Min-Ling Zhang, Zhi-Hua Zhou
    Ensembles of Multi-Instance Neural Networks. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Processing, 2004, pp:471-474 [Conf]
  23. Zhi-Hua Zhou, Ming Li
    Semi-Supervised Regression with Co-Training. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:908-916 [Conf]
  24. Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen
    Genetic Algorithm based Selective Neural Network Ensemble. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:797-802 [Conf]
  25. Zhi-Hua Zhou, Hong-Bin Dai
    Exploiting Image Contents in Web Search. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2922-2927 [Conf]
  26. Jia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shifu Chen
    Using Neural Networks for Fault Diagnosis. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:217-220 [Conf]
  27. Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
    A Statistics Based Approach for Extracting Priority Rules from Trained Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:401-406 [Conf]
  28. Yuan Jiang, Zhi-Hua Zhou
    Editing Training Data for kNN Classifiers with Neural Network Ensemble. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:356-361 [Conf]
  29. Ning Li, Huajie Zhou, Jinjiang Ling, Zhi-Hua Zhou
    Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2005, pp:790-795 [Conf]
  30. Jun Liu, Songcan Chen, Zhi-Hua Zhou
    Progressive Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:768-773 [Conf]
  31. Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
    Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:858-863 [Conf]
  32. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
    Fuzzy-Kernel Learning Vector Quantization. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:180-185 [Conf]
  33. Honghua Dai, Gang Li, Zhi-Hua Zhou
    Ensembling MML Causal Discovery. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:260-271 [Conf]
  34. Yuan Jiang, Ming Li, Zhi-Hua Zhou
    Generation of Comprehensible Hypotheses from Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:116-123 [Conf]
  35. Ming Li, Zhi-Hua Zhou
    SETRED: Self-training with Editing. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:611-621 [Conf]
  36. Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
    Feature Selection for High Dimensional Face Image Using Self-organizing Maps. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:500-504 [Conf]
  37. De-Chuan Zhan, Zhi-Hua Zhou
    Neighbor Line-Based Locally Linear Embedding. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:806-815 [Conf]
  38. Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai
    On the Size of Training Set and the Benefit from Ensemble. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:298-307 [Conf]
  39. Xin Geng, Zhi-Hua Zhou, Honghua Dai
    Uncontrolled Face Recognition by Individual Stable Neural Network. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:553-562 [Conf]
  40. Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
    Non-negative Matrix Factorization on Kernels. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:404-412 [Conf]
  41. Zhi-Hua Zhou
    Learning with Unlabeled Data and Its Application to Image Retrieval. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:5-10 [Conf]
  42. Yuan Jiang, Ke-Jia Chen, Zhi-Hua Zhou
    SOM Based Image Segmentation. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:640-643 [Conf]
  43. Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou
    Dependency Bagging. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:491-500 [Conf]
  44. Zhi-Hua Zhou, Wei Tang
    Selective Ensemble of Decision Trees. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:476-483 [Conf]
  45. Junping Zhang, Huanxing Shen, Zhi-Hua Zhou
    Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition. [Citation Graph (0, 0)][DBLP]
    SINOBIOMETRICS, 2004, pp:296-304 [Conf]
  46. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
    Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:889-897 [Conf]
  47. Xu-Ri Yin, Zhi-Hua Zhou, Ning Li, Shifu Chen
    An Approach for Data Filtering Based on Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    WAIM, 2001, pp:367-376 [Conf]
  48. Min-Ling Zhang, Zhi-Hua Zhou
    A k-nearest neighbor based algorithm for multi-label classification. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:718-721 [Conf]
  49. Zhi-Hua Zhou
    Three perspectives of data mining. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:143, n:1, pp:139-146 [Journal]
  50. Zhi-Hua Zhou, Jianxin Wu, Wei Tang
    Ensembling neural networks: Many could be better than all. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:137, n:1-2, pp:239-263 [Journal]
  51. Zhi-Hua Zhou, Yuan Jiang, Shifu Chen
    Extracting symbolic rules from trained neural network ensembles. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2003, v:16, n:1, pp:3-15 [Journal]
  52. Zhi-Hua Zhou, Kai Jiang, Ming Li
    Multi-Instance Learning Based Web Mining. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2005, v:22, n:2, pp:135-147 [Journal]
  53. Zhi-Hua Zhou
    Artificial Neural Networks in Biomedicine - Paulo J.G. Lisboa, Emmanuel C. Ifeachor and Piotr S. Szczepaniak (Eds.), Springer-Verlag, London, 2000, ISBN 1-85233-005-8. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:25, n:2, pp:211-214 [Journal]
  54. Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
    Lung cancer cell identification based on artificial neural network ensembles. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:24, n:1, pp:25-36 [Journal]
  55. Zhi-Hua Zhou, Ruqian Lu
    Artificial intelligence in medicine in China. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:32, n:1, pp:1-2 [Journal]
  56. Zhi-Hua Zhou, Jianxin Wu, Wei Tang, Zhaoqian Chen
    Combining Regression Estimators: GA-Based Selective Neural Network Ensemble. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2001, v:1, n:4, pp:341-356 [Journal]
  57. Zhi-Hua Zhou, Yuan Jiang, Shifu Chen
    A general neural framework for classification rule mining. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2000, v:1, n:2, pp:154-168 [Journal]
  58. Songcan Chen, Lei Chen, Zhi-Hua Zhou
    A unified SWSI-KAMs framework and performance evaluation on face recognition. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:68, n:, pp:54-69 [Journal]
  59. Daoqiang Zhang, Zhi-Hua Zhou
    (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:69, n:1-3, pp:224-231 [Journal]
  60. Xin Geng, Zhi-Hua Zhou
    Image Region Selection and Ensemble for Face Recognition. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2006, v:21, n:1, pp:116-125 [Journal]
  61. Zhi-Hua Zhou
    Rule Extraction: Using Neural Networks or for Neural Networks? [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2004, v:19, n:2, pp:249-253 [Journal]
  62. Zhi-Hua Zhou, Yang Yu
    Adapt Bagging to Nearest Neighbor Classifiers. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2005, v:20, n:1, pp:48-54 [Journal]
  63. Zhi-Hua Zhou
    Multi-Instance Learning from Supervised View. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2006, v:21, n:5, pp:800-809 [Journal]
  64. Zhi-Hua Zhou, Min-Ling Zhang
    Solving multi-instance problems with classifier ensemble based on constructive clustering. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2007, v:11, n:2, pp:155-170 [Journal]
  65. Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
    FANNC: A Fast Adaptive Neural Network Classifier. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2000, v:2, n:1, pp:115-129 [Journal]
  66. Zhi-Hua Zhou, Zhaoqian Chen
    Hybrid decision tree. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2002, v:15, n:8, pp:515-528 [Journal]
  67. Zhi-Hua Zhou, Wei Tang
    Clusterer ensemble. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2006, v:19, n:1, pp:77-83 [Journal]
  68. Arif Ghafoor, Zhongfei (Mark) Zhang, Michael S. Lew, Zhi-Hua Zhou
    Guest Editors' introduction to the special issue: machine learning approaches to multimedia information retrieval. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2006, v:12, n:1, pp:1-2 [Journal]
  69. Zhi-Hua Zhou, Shifu Chen
    Evolving Fault-Tolerant Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:11, n:3-4, pp:156-160 [Journal]
  70. Yuan Jiang, Zhi-Hua Zhou
    SOM Ensemble-Based Image Segmentation. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:20, n:3, pp:171-178 [Journal]
  71. Min-Ling Zhang, Zhi-Hua Zhou
    Improve Multi-Instance Neural Networks through Feature Selection. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:19, n:1, pp:1-10 [Journal]
  72. Min-Ling Zhang, Zhi-Hua Zhou
    Adapting RBF Neural Networks to Multi-Instance Learning. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2006, v:23, n:1, pp:1-26 [Journal]
  73. Songcan Chen, Jun Liu, Zhi-Hua Zhou
    Making FLDA applicable to face recognition with one sample per person. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:7, pp:1553-1555 [Journal]
  74. Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
    Face recognition from a single image per person: A survey. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:9, pp:1725-1745 [Journal]
  75. Jianxin Wu, Zhi-Hua Zhou
    Efficient face candidates selector for face detection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:5, pp:1175-1186 [Journal]
  76. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
    Learning the kernel parameters in kernel minimum distance classifier. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:1, pp:133-135 [Journal]
  77. Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
    Diagonal principal component analysis for face recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:1, pp:140-142 [Journal]
  78. Zhi-Hua Zhou, Xin Geng
    Projection functions for eye detection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:5, pp:1049-1056 [Journal]
  79. Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou
    Enhanced (PC)2 A for face recognition with one training image per person [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:10, pp:1173-1181 [Journal]
  80. Jianxin Wu, Zhi-Hua Zhou
    Face recognition with one training image per person. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:14, pp:1711-1719 [Journal]
  81. Zhi-Hua Zhou, Yuan Jiang
    Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Technology in Biomedicine, 2003, v:7, n:1, pp:37-42 [Journal]
  82. Min-Ling Zhang, Zhi-Hua Zhou
    Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:10, pp:1338-1351 [Journal]
  83. Zhi-Hua Zhou, Yuan Jiang
    NeC4.5: Neural Ensemble Based C4.5. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2004, v:16, n:6, pp:770-773 [Journal]
  84. Zhi-Hua Zhou, Ming Li
    Tri-Training: Exploiting Unlabeled Data Using Three Classifiers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:11, pp:1529-1541 [Journal]
  85. Zhi-Hua Zhou, Xu-Ying Liu
    Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:1, pp:63-77 [Journal]
  86. Zhi-Hua Zhou, Ke-Jia Chen, Hong-Bin Dai
    Enhancing relevance feedback in image retrieval using unlabeled data. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2006, v:24, n:2, pp:219-244 [Journal]
  87. Xin Geng, De-Chuan Zhan, Zhi-Hua Zhou
    Supervised nonlinear dimensionality reduction for visualization and classification. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:6, pp:1098-1107 [Journal]
  88. Zhi-Hua Zhou, Yang Yu
    Ensembling local learners ThroughMultimodal perturbation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:4, pp:725-735 [Journal]
  89. Min-Ling Zhang, Zhi-Hua Zhou
    Multi-Label Learning by Instance Differentiation. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:669-674 [Conf]
  90. Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang
    Semi-Supervised Learning with Very Few Labeled Training Examples. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:675-680 [Conf]
  91. Zhi-Hua Zhou
    Mining Ambiguous Data with Multi-instance Multi-label Representation. [Citation Graph (0, 0)][DBLP]
    ADMA, 2007, pp:1- [Conf]
  92. Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
    Single Image Subspace for Face Recognition. [Citation Graph (0, 0)][DBLP]
    AMFG, 2007, pp:205-219 [Conf]
  93. Xiao-Lin Li, Zhi-Hua Zhou
    Structure Learning of Probabilistic Relational Models from Incomplete Relational Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:214-225 [Conf]
  94. Wei Wang, Zhi-Hua Zhou
    Analyzing Co-training Style Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:454-465 [Conf]
  95. Zhi-Hua Zhou, Jun-Ming Xu
    On the relation between multi-instance learning and semi-supervised learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1167-1174 [Conf]
  96. Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai
    Learning from facial aging patterns for automatic age estimation. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 2006, pp:307-316 [Conf]
  97. Zhi-Hua Zhou, Min-Ling Zhang
    Multi-Instance Multi-Label Learning with Application to Scene Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1609-1616 [Conf]
  98. Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
    Semi-Supervised Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  99. Ruqian Lu, Zhi-Hua Zhou
    Guest Editorial to the Special Issue on Advances of Artificial Intelligence and Knowledge Engineering in China. [Citation Graph (0, 0)][DBLP]
    Comput. J., 2007, v:50, n:4, pp:377- [Journal]
  100. Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
    Automatic Age Estimation Based on Facial Aging Patterns. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:12, pp:2234-2240 [Journal]
  101. Min-Ling Zhang, Zhi-Hua Zhou
    ML-KNN: A lazy learning approach to multi-label learning. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:7, pp:2038-2048 [Journal]
  102. Zhi-Hua Zhou, Ming Li
    Semisupervised Regression with Cotraining-Style Algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:11, pp:1479-1493 [Journal]

  103. Constraint Projections for Ensemble Learning. [Citation Graph (, )][DBLP]


  104. Multi-Label Dimensionality Reduction via Dependence Maximization. [Citation Graph (, )][DBLP]


  105. Multi-Label Learning with Weak Label. [Citation Graph (, )][DBLP]


  106. Cost-Sensitive Semi-Supervised Support Vector Machine. [Citation Graph (, )][DBLP]


  107. Facial Age Estimation by Learning from Label Distributions. [Citation Graph (, )][DBLP]


  108. Multi-Instance Dimensionality Reduction. [Citation Graph (, )][DBLP]


  109. Approximation Stability and Boosting. [Citation Graph (, )][DBLP]


  110. A Framework for Machine Learning with Ambiguous Objects. [Citation Graph (, )][DBLP]


  111. On the Margin Explanation of Boosting Algorithms. [Citation Graph (, )][DBLP]


  112. Cost-sensitive face recognition. [Citation Graph (, )][DBLP]


  113. Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. [Citation Graph (, )][DBLP]


  114. Learning a distance metric from multi-instance multi-label data. [Citation Graph (, )][DBLP]


  115. Cocktail Ensemble for Regression. [Citation Graph (, )][DBLP]


  116. Isolation Forest. [Citation Graph (, )][DBLP]


  117. TEFE: A Time-Efficient Approach to Feature Extraction. [Citation Graph (, )][DBLP]


  118. M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning. [Citation Graph (, )][DBLP]


  119. Least Square Incremental Linear Discriminant Analysis. [Citation Graph (, )][DBLP]


  120. Semi-naive Exploitation of One-Dependence Estimators. [Citation Graph (, )][DBLP]


  121. On multi-view active learning and the combination with semi-supervised learning. [Citation Graph (, )][DBLP]


  122. Semi-supervised learning using label mean. [Citation Graph (, )][DBLP]


  123. Multi-instance learning by treating instances as non-I.I.D. samples. [Citation Graph (, )][DBLP]


  124. Learning instance specific distances using metric propagation. [Citation Graph (, )][DBLP]


  125. A New Analysis of Co-Training. [Citation Graph (, )][DBLP]


  126. DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. [Citation Graph (, )][DBLP]


  127. Non-Metric Label Propagation. [Citation Graph (, )][DBLP]


  128. Exploiting Multi-Modal Interactions: A Unified Framework. [Citation Graph (, )][DBLP]


  129. Drosophila gene expression pattern annotation using sparse features and term-term interactions. [Citation Graph (, )][DBLP]


  130. Learning with cost intervals. [Citation Graph (, )][DBLP]


  131. Selective Ensemble under Regularization Framework. [Citation Graph (, )][DBLP]


  132. When Semi-supervised Learning Meets Ensemble Learning. [Citation Graph (, )][DBLP]


  133. Multi-information Ensemble Diversity. [Citation Graph (, )][DBLP]


  134. Facial age estimation by nonlinear aging pattern subspace. [Citation Graph (, )][DBLP]


  135. Face image modeling by multilinear subspace analysis with missing values. [Citation Graph (, )][DBLP]


  136. A Framework for Modeling Positive Class Expansion with Single Snapshot. [Citation Graph (, )][DBLP]


  137. Mining Bulletin Board Systems Using Community Generation. [Citation Graph (, )][DBLP]


  138. Budget Semi-supervised Learning. [Citation Graph (, )][DBLP]


  139. When does Co-training Work in Real Data?. [Citation Graph (, )][DBLP]


  140. A Convex Method for Locating Regions of Interest with Multi-instance Learning. [Citation Graph (, )][DBLP]


  141. On Detecting Clustered Anomalies Using SCiForest. [Citation Graph (, )][DBLP]


  142. Towards Analyzing Recombination Operators in Evolutionary Search. [Citation Graph (, )][DBLP]


  143. Multi-manifold Clustering. [Citation Graph (, )][DBLP]


  144. Semi-supervised Learning by Disagreement. [Citation Graph (, )][DBLP]


  145. On the usefulness of infeasible solutions in evolutionary search: A theoretical study. [Citation Graph (, )][DBLP]


  146. Analyzing Magnification Factors and Principal Spread Directions in Manifold Learning. [Citation Graph (, )][DBLP]


  147. A Framework for Machine Learning with Ambiguous Objects. [Citation Graph (, )][DBLP]


  148. A new approach to estimating the expected first hitting time of evolutionary algorithms. [Citation Graph (, )][DBLP]


  149. Multi-instance clustering with applications to multi-instance prediction. [Citation Graph (, )][DBLP]


  150. A bag-of-words approach for Drosophila gene expression pattern annotation. [Citation Graph (, )][DBLP]


  151. Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples [Citation Graph (, )][DBLP]


  152. MIML: A Framework for Learning with Ambiguous Objects [Citation Graph (, )][DBLP]


  153. Weak Evolvability Equals Strong Evolvability [Citation Graph (, )][DBLP]


  154. Classifier Ensemble with Unlabeled Data [Citation Graph (, )][DBLP]


  155. S4VM: Safe Semi-Supervised Support Vector Machine [Citation Graph (, )][DBLP]


  156. Multi-View Active Learning in the Non-Realizable Case [Citation Graph (, )][DBLP]


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