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 | 2012 | |
|---|---|---|
| j7 |      | Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao: Semisupervised Classification With Cluster Regularization. IEEE Trans. Neural Netw. Learning Syst. 23(11): 1779-1792 (2012) |
| c11 | | F. Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao: Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. HAIS (2) 2012: 308-318 |
| c10 | | Raheleh Mohammadi, Ali Mahlooji Far, Huanhuan Chen, Damien Coyle: EEG Based Foot Movement Onset Detection with the Probabilistic Classification Vector Machine. ICONIP (4) 2012: 356-363 |
| i1 | | Huanhuan Chen, Peter Tino, Xin Yao, Ali Rodan: Learning in the Model Space for Fault Diagnosis. CoRR abs/1210.8291 (2012) |
| 2011 | ||
| c9 | | Huanhuan Chen, Anthony G. Cohn: Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach. IJCAI 2011: 2411-2417 |
| c8 | | Lisong Chen, Huanhuan Chen, Ke Tang: Semi-supervised learning with extremely sparse labeled data on multiple semi-supervised assumptions. SoCPaR 2011: 242-247 |
| 2010 | ||
| j6 | | Huanhuan Chen, Xin Yao: Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning. IEEE Trans. Knowl. Data Eng. 22(12): 1738-1751 (2010) |
| c7 | | Huanhuan Chen, Anthony G. Cohn: Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar. ECAI 2010: 987-988 |
| c6 | | Huanhuan Chen, Anthony G. Cohn: Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data. IJCNN 2010: 1-8 |
| c5 | | Shuo Wang, Huanhuan Chen, Xin Yao: Negative correlation learning for classification ensembles. IJCNN 2010: 1-8 |
| 2009 | ||
| j5 | | Lean Yu, Huanhuan Chen, Shouyang Wang, Kin Keung Lai: Evolving Least Squares Support Vector Machines for Stock Market Trend Mining. IEEE Trans. Evolutionary Computation 13(1): 87-102 (2009) |
| j4 | | Huanhuan Chen, Peter Tiño, Xin Yao: Predictive Ensemble Pruning by Expectation Propagation. IEEE Trans. Knowl. Data Eng. 21(7): 999-1013 (2009) |
| j3 | | Huanhuan Chen, Peter Tino, Xin Yao: Probabilistic Classification Vector Machines. IEEE Transactions on Neural Networks 20(6): 901-914 (2009) |
| j2 | | Huanhuan Chen, Xin Yao: Regularized Negative Correlation Learning for Neural Network Ensembles. IEEE Transactions on Neural Networks 20(12): 1962-1979 (2009) |
| c4 | | Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao: Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning. ICANN (2) 2009: 185-194 |
| 2007 | ||
| c3 | | Huanhuan Chen, Xin Yao: Evolutionary random neural ensembles based on negative correlation learning. IEEE Congress on Evolutionary Computation 2007: 1468-1474 |
| c2 | | Huanhuan Chen, Xin Yao: Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity. ICIC (2) 2007: 1162-1171 |
| 2006 | ||
| c1 | | Huanhuan Chen, Peter Tiño, Xin Yao: A Probabilistic Ensemble Pruning Algorithm. ICDM Workshops 2006: 878-882 |
| p1 | | Arjun Chandra, Huanhuan Chen, Xin Yao: Trade-Off Between Diversity and Accuracy in Ensemble Generation. Multi-Objective Machine Learning 2006: 429-464 |
| 2004 | ||
| j1 | | Huanhuan Chen, Bin Li, Zhenquan Zhuang: Quantum secure circuit evaluation. Science in China Series F: Information Sciences 47(6): 717-727 (2004) |
| 1 | Arjun Chandra | |
| 2 | Lisong Chen | |
| 3 | Anthony G. Cohn | |
| 4 | Damien Coyle | |
| 5 | Ali Mahlooji Far | |
| 6 | Francisco Fernández-Navarro (F. Fernández-Navarro) | |
| 7 | Pedro Antonio Gutiérrez (Pedro Antonio Gutiérrez Peña) | |
| 8 | Shan He 0001 | |
| 9 | César Hervás-Martínez (César Hervás) | |
| 10 | Kin Keung Lai (K. K. Lai) | |
| 11 | Bin Li | |
| 12 | Xiaoli Li | |
| 13 | Raheleh Mohammadi | |
| 14 | Ali Rodan | |
| 15 | Rodrigo G. F. Soares | |
| 16 | Ke Tang | |
| 17 | Peter Tiño (Peter Tino) | |
| 18 | Shouyang Wang | |
| 19 | Shuo Wang | |
| 20 | Xin Yao | |
| 21 | Lean Yu | |
| 22 | Zhenquan Zhuang |
Colors in the list of coauthors
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