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2020 – today
- 2024
[j106]Shang Gao, Xinwei Jiang
, Yongshan Zhang, Xiaobo Liu, Qianjin Xiong, Zhihua Cai:
Superpixelwise PCA based data augmentation for hyperspectral image classification. Multim. Tools Appl. 83(34): 81209-81229 (2024)- [j105]Yongshan Zhang, Shuaikang Yan, Xinwei Jiang, Lefei Zhang, Zhihua Cai, Jun Li:
Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j104]Yongshan Zhang, Guozhu Jiang, Zhihua Cai, Yicong Zhou:
Bipartite Graph-Based Projected Clustering With Local Region Guidance for Hyperspectral Imagery. IEEE Trans. Multim. 26: 9551-9563 (2024) - 2023
- [j103]Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Eman Ahmed Alawamy, Ahamed Alalimi:
ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images. Expert Syst. Appl. 213(Part): 118971 (2023) - [j102]Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai:
Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Inf. Sci. 649: 119655 (2023) - [j101]Xiaohong Chen, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai:
Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j100]Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Eman Ahmed Alawamy:
IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images. Pattern Recognit. 134: 109096 (2023) - [j99]Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness:
FHIC: Fast Hyperspectral Image Classification Model Using ETR Dimensionality Reduction and ELU Activation Function. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j98]Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza:
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j97]Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding:
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. 14(3): 40:1-40:23 (2023) - [c92]Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Structured-Anchor Projected Clustering for Hyperspectral Images. ICASSP 2023: 1-5 - [c91]Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai:
Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. ICASSP 2023: 1-5 - [c90]Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. ICASSP 2023: 1-5 - 2022
- [j96]Dalal AL-Alimi, Zhihua Cai, Mohammed Abdulaziz Aide Al-qaness, Abdelghani Dahou, Eman Ahmed Alawamy, Sakinatu Issaka:
Compression and reinforce variation with convolutional neural networks for hyperspectral image classification. Appl. Soft Comput. 130: 109650 (2022) - [j95]Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan:
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. 203: 117397 (2022) - [j94]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang:
Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j93]Qiubo Hu, Wenxiang Xu, Xiaobo Liu, Zhihua Cai, Junjie Cai:
Hyperspectral Image Classification Based on Bilateral Filter With Multispatial Domain. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j92]Xinwei Jiang, Liwen Xiong, Qin Yan, Yongshan Zhang, Xiaobo Liu, Zhihua Cai:
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j91]Tiancong Li, Yaoming Cai, Yongshan Zhang, Zhihua Cai, Xiaobo Liu:
Deep Mutual Information Subspace Clustering Network for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j90]Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai:
Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery. Multim. Tools Appl. 81(9): 12061-12075 (2022) - [j89]Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen:
CubeNet: X-shape connection for camouflaged object detection. Pattern Recognit. 127: 108644 (2022) - [j88]Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Abdelghani Dahou, Yuxiang Shao, Sakinatu Issaka:
Meta-Learner Hybrid Models to Classify Hyperspectral Images. Remote. Sens. 14(4): 1038 (2022) - [j87]Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen:
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j86]Xiaobo Liu, Xin Gong, Antonio Plaza, Zhihua Cai, Xiao Xiao, Xinwei Jiang, Xiang Li:
MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j85]Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai:
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [c89]Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai:
Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. IGARSS 2022: 3616-3619 - 2021
- [j84]Yanyun Zhang, Guanyu Chen, Zhihua Cai:
Small Target Detection Based on Squared Cross Entropy and Dense Feature Pyramid Networks. IEEE Access 9: 55179-55190 (2021) - [j83]Guanyu Chen, Yanyun Zhang, Zhihua Cai, Xiang Li:
The building recognition and analysis of remote sensing image based on depth belief network. Cogn. Syst. Res. 68: 53-61 (2021) - [j82]Yaoming Cai, Meng Zeng, Zhihua Cai, Xiaobo Liu, Zijia Zhang:
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering. Inf. Sci. 578: 85-101 (2021) - [j81]Zhimin Dong, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Zhaoyu Yang, Mingchen Zhuge:
Cooperative Spectral-Spatial Attention Dense Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(5): 866-870 (2021) - [j80]Xiaobo Liu, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, Xin Gong:
Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification. Remote. Sens. 13(6): 1082 (2021) - [j79]Tiancong Li, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Qiubo Hu:
Nonlocal Band Attention Network for Hyperspectral Image Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3462-3474 (2021) - [j78]Chen Qiu, Guangyou Zhou, Zhihua Cai, Anders Søgaard:
A Global-Local Attentive Relation Detection Model for Knowledge-Based Question Answering. IEEE Trans. Artif. Intell. 2(2): 200-212 (2021) - [j77]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan:
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 59(5): 4191-4202 (2021) - [c88]Xiaobo Liu, Mostofa Zaman Mohammad, Chaochao Zhang, Xin Gong, Zhihua Cai:
Multi-feature Fusion Based Deep Forest for Hyperspectral Image Classification. BIC-TA (2) 2021: 293-302 - [c87]Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CIKM Workshops 2021 - [c86]Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu:
Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition. ICME 2021: 1-6 - [c85]Minghui Zhao, Dongxin Zhao, Zhihua Cai, Qijun Chen:
Research on Vibration Characteristics of Parametric Shell Structure. ISCID 2021: 333-336 - [i5]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi:
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR abs/2111.07942 (2021) - [i4]Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR abs/2111.07945 (2021) - 2020
- [j76]Xiaobo Liu, Yulin Qiao, Yonghua Xiong, Zhihua Cai, Peng Liu:
Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation. Sci. China Inf. Sci. 63(4) (2020) - [j75]Xiaobo Liu, Xu Yin, Yaoming Cai, Min Wang, Zhihua Cai, Bo Huang:
Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17(11): 1963-1967 (2020) - [j74]Xiaoping Fang, Yaoming Cai, Zhihua Cai, Xinwei Jiang, Zhikun Chen:
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors 20(5): 1262 (2020) - [j73]Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai:
Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3892-3902 (2020) - [j72]Yaoming Cai, Zijia Zhang, Xiaobo Liu, Zhihua Cai:
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4869-4880 (2020) - [j71]Yaoming Cai, Xiaobo Liu, Zhihua Cai:
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 58(3): 1969-1984 (2020) - [j70]Yongshan Zhang, Jia Wu, Zhihua Cai, Philip S. Yu:
Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. IEEE Trans. Multim. 22(11): 2844-2857 (2020) - [j69]Wenyin Gong, Yong Wang, Zhihua Cai, Ling Wang:
Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1499-1513 (2020) - [c84]Minghui Zhao, Zhihua Cai, Dongbo Wang, Sai Ma, Liyun Zhong:
Application of Roadway Deformation Detection Method Based on Machine Vision for Underground Patrol Robot. CRC 2020: 190-195 - [c83]Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai:
Particle Swarm Optimization Based Deep Learning Architecture Search for Hyperspectral Image Classification. IGARSS 2020: 509-512 - [c82]Zijia Zhang, Yaoming Cai, Wenyin Gong, Xiaobo Liu, Zhihua Cai:
Graph Convolutional Extreme Learning Machine. IJCNN 2020: 1-8 - [i3]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan:
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. CoRR abs/2004.10476 (2020)
2010 – 2019
- 2019
- [j68]Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang:
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7: 33778-33786 (2019) - [j67]Zhikun Chen, Junjun Jiang, Chong Zhou, Shaoyuan Fu, Zhihua Cai:
SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images. IEEE Access 7: 147796-147807 (2019) - [j66]Peng Hu, Xiaobo Liu, Yaoming Cai, Zhihua Cai:
Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-Representation. IEEE Geosci. Remote. Sens. Lett. 16(3): 452-456 (2019) - [j65]Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai:
Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 16(5): 781-785 (2019) - [j64]Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku:
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. IEEE Geosci. Remote. Sens. Lett. 16(12): 1889-1893 (2019) - [j63]Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu:
An unsupervised parameter learning model for RVFL neural network. Neural Networks 112: 85-97 (2019) - [j62]Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai:
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. 11(1): 29 (2019) - [j61]Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai:
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine. Remote. Sens. 11(17): 1983 (2019) - [j60]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai:
Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. 11(19): 2288 (2019) - [j59]Xiaobo Liu, Ruilin Wang, Zhihua Cai, Yaoming Cai, Xu Yin:
Deep Multigrained Cascade Forest for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(10): 8169-8183 (2019) - [j58]Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu:
Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Trans. Intell. Syst. Technol. 10(5): 53:1-53:23 (2019) - [c81]Zuowen Liao, Wenyin Gong, Zhihua Cai:
A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems. BIC-TA (1) 2019: 422-438 - [c80]Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang:
Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. CEC 2019: 3118-3125 - [c79]Meng Zeng, Yaoming Cai, Xiaobo Liu, Zhihua Cai, Xiang Li:
Spectral-Spatial Clustering of Hyperspectral Image Based on Laplacian Regularized Deep Subspace Clustering. IGARSS 2019: 2694-2697 - [c78]Yaoming Cai, Zhimin Dong, Zhihua Cai, Xiaobo Liu, Guangjun Wang:
Discriminative Spectral-Spatial Attention-Aware Residual Network For Hyperspectral Image Classification. WHISPERS 2019: 1-5 - [i2]Yaoming Cai, Xiaobo Liu, Zhihua Cai:
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. CoRR abs/1904.08269 (2019) - 2018
- [j57]Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
Ensemble Transfer Learning Algorithm. IEEE Access 6: 2389-2396 (2018) - [j56]Yu Wu, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Yaoming Cai:
A multiobjective optimization-based sparse extreme learning machine algorithm. Neurocomputing 317: 88-100 (2018) - [j55]Yaoming Cai, Xiaobo Liu, Yongshan Zhang, Zhihua Cai:
Hierarchical ensemble of Extreme Learning Machine. Pattern Recognit. Lett. 116: 101-106 (2018) - [j54]Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai:
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. Sensors 18(6): 1978 (2018) - [j53]Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang:
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 56(8): 4581-4593 (2018) - [c77]Yaoming Cai, Zhihua Cai, Meng Zeng, Xiaobo Liu, Jia Wu, Guangjun Wang:
A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder. IJCNN 2018: 1-8 - [c76]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong:
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN 2018: 1-7 - [c75]Bi Wu, Zhihua Cai, Xiaobo Liu:
Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation. IJCNN 2018: 1-6 - [c74]Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu:
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) 2018: 297-308 - [c73]Chen Qiu, Liangxiao Jiang, Zhihua Cai:
Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing. PRICAI 2018: 165-173 - [i1]Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang:
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. CoRR abs/1806.09807 (2018) - 2017
- [j52]Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai:
Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(10): 1760-1764 (2017) - [j51]Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai:
Instance cloned extreme learning machine. Pattern Recognit. 68: 52-65 (2017) - [j50]Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao:
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 21(4): 493-505 (2017) - [j49]Wenyin Gong, Yong Wang, Zhihua Cai, Shengxiang Yang:
A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems. IEEE Trans. Evol. Comput. 21(5): 697-713 (2017) - [c72]Yanan Li, Wenyin Gong, Zhihua Cai:
Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution. ACALCI 2017: 339-352 - [c71]Yaoming Cai, Xiaobo Liu, Yu Wu, Peng Hu, Ruilin Wang, Bi Wu, Zhihua Cai:
Extreme Learning Machine Based on Evolutionary Multi-objective Optimization. BIC-TA 2017: 420-435 - [c70]Yongshan Zhang, Jia Wu, Zhihua Cai, Siwei Jiang:
Pre-trained Extreme Learning Machine. ICONIP (5) 2017: 14-23 - [c69]Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A weighted-resampling based transfer learning algorithm. IJCNN 2017: 185-190 - 2016
- [j48]Junjun Jiang, Chen Chen, Kebin Huang, Zhihua Cai, Ruimin Hu:
Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation. Inf. Sci. 367-368: 354-372 (2016) - [j47]Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
Bagging based ensemble transfer learning. J. Ambient Intell. Humaniz. Comput. 7(1): 29-36 (2016) - [j46]Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Multi-graph-view subgraph mining for graph classification. Knowl. Inf. Syst. 48(1): 29-54 (2016) - [j45]Yongshan Zhang, Jia Wu, Zhihua Cai, Peng Zhang, Ling Chen:
Memetic Extreme Learning Machine. Pattern Recognit. 58: 135-148 (2016) - [j44]Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhihua Cai:
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. Signal Process. 124: 162-172 (2016) - [c68]Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai:
Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. CEC 2016: 500-507 - [c67]Shiyan Shen, Wenyin Gong, Zhihua Cai:
Classification guided differential evolution. CEC 2016: 3276-3283 - [c66]Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai:
Multiple-Instance Learning with Evolutionary Instance Selection. DASFAA (1) 2016: 229-241 - [c65]Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai:
Hyperspectral image classification using set-to-set distance. ICASSP 2016: 3346-3350 - [c64]Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang:
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN 2016: 3378-3384 - 2015
- [j43]Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang:
Self-adaptive attribute weighting for Naive Bayes classification. Expert Syst. Appl. 42(3): 1487-1502 (2015) - [j42]Wenyin Gong, Zhihua Cai, Jun Du:
Ensemble of different improvements in differential evolution for parameter extraction of PEMFC model. Int. J. Comput. Appl. Technol. 51(3): 193-202 (2015) - [j41]Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai:
Locally Weighted Learning: How and When Does it Work in Bayesian Networks? Int. J. Comput. Intell. Syst. 8(sup1): 63-74 (2015) - [j40]Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A MultiBoosting Based Transfer Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19(3): 381-388 (2015) - [j39]Ming Yang, Changhe Li, Zhihua Cai, Jing Guan:
Differential Evolution With Auto-Enhanced Population Diversity. IEEE Trans. Cybern. 45(2): 302-315 (2015) - [j38]Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai:
Boosting for Multi-Graph Classification. IEEE Trans. Cybern. 45(3): 430-443 (2015) - [j37]Wenyin Gong, Zhihua Cai, Dingwen Liang:
Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization. IEEE Trans. Cybern. 45(4): 716-727 (2015) - [j36]Wenyin Gong, Aimin Zhou, Zhihua Cai:
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization. IEEE Trans. Evol. Comput. 19(5): 746-758 (2015) - [c63]Jun Du, Zhihua Cai:
Modelling Class Noise with Symmetric and Asymmetric Distributions. AAAI 2015: 2589-2595 - [c62]Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Multi-Graph-View Learning for Complicated Object Classification. IJCAI 2015: 3953-3959 - [c61]Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu:
A memetic algorithm based extreme learning machine for classification. IJCNN 2015: 1-8 - 2014
- [j35]Wenyin Gong, Zhihua Cai, Yang Wang:
Repairing the crossover rate in adaptive differential evolution. Appl. Soft Comput. 15: 149-168 (2014) - [j34]Wenyin Gong, Zhihua Cai:
Parameter optimization of PEMFC model with improved multi-strategy adaptive differential evolution. Eng. Appl. Artif. Intell. 27: 28-40 (2014) - [j33]Guiling Li, Zhihua Cai, Xiaojun Kang, Zongda Wu, Yuanzhen Wang:
ESPSA: A prediction-based algorithm for streaming time series segmentation. Expert Syst. Appl. 41(14): 6098-6105 (2014) - [j32]Liping Zhang, Shanyu Tang, Zhihua Cai:
Robust and efficient password authenticated key agreement with user anonymity for session initiation protocol-based communications. IET Commun. 8(1): 83-91 (2014) - [j31]Liping Zhang, Shanyu Tang, Zhihua Cai:
Efficient and flexible password authenticated key agreement for Voice over Internet Protocol Session Initiation Protocol using smart card. Int. J. Commun. Syst. 27(11): 2691-2702 (2014) - [j30]Jia Wu, Zhihua Cai:
Learning attribute weighted AODE for ROC area ranking. Int. J. Inf. Commun. Technol. 6(1): 23-38 (2014) - [j29]Liangxiao Jiang, Chaoqun Li, Harry Zhang, Zhihua Cai:
A Novel Distance Function: frequency difference Metric. Int. J. Pattern Recognit. Artif. Intell. 28(2) (2014) - [j28]Jia Wu, Zhihua Cai:
A naive Bayes probability estimation model based on self-adaptive differential evolution. J. Intell. Inf. Syst. 42(3): 671-694 (2014) - [j27]Yangguang Sun, Zhihua Cai:
An Improved Character Segmentation Algorithm Based on Local Adaptive Thresholding Technique for Chinese NvShu Documents. J. Networks 9(6): 1496-1501 (2014) - [j26]Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang:
Bayesian Citation-KNN with distance weighting. Int. J. Mach. Learn. Cybern. 5(2): 193-199 (2014) - [j25]Liping Zhang, Shanyu Tang, Zhihua Cai:
Cryptanalysis and improvement of password-authenticated key agreement for session initiation protocol using smart cards. Secur. Commun. Networks 7(12): 2405-2411 (2014) - [c60]Xin Song, Zhihua Cai, Wei Xu:
Dimensionally Reduction: An Experimental Study. ADMA 2014: 380-393 - [c59]Ming Yang, Zhihua Cai, Changhe Li, Jing Guan:
An improved JADE algorithm for global optimization. IEEE Congress on Evolutionary Computation 2014: 806-812 - [c58]Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu:
A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system. IEEE Congress on Evolutionary Computation 2014: 2893-2900 - [c57]Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. CIKM 2014: 1699-1708 - [c56]Ming Yang, Jing Guan, Zhihua Cai, Changhe Li:
A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. GECCO (Companion) 2014: 123-124 - [c55]Yu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu:
The parameter optimization of kalman filter based on multi-objective memetic algorithm. GECCO 2014: 613-620 - [c54]Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Multi-graph-view Learning for Graph Classification. ICDM 2014: 590-599 - [c53]Jin Xu, Zhihua Cai, Wenyin Gong:
An Adaptive Strategy to Adjust the Components of Memetic Algorithms. ICTAI 2014: 55-62 - [c52]Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang:
Dual instance and attribute weighting for Naive Bayes classification. IJCNN 2014: 1675-1679 - [c51]Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang:
Attribute weighting: How and when does it work for Bayesian Network Classification. IJCNN 2014: 4076-4083 - [c50]Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai:
Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) 2014: 62-73 - [c49]Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai:
Multi-Instance Learning from Positive and Unlabeled Bags. PAKDD (1) 2014: 237-248 - [c48]Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai:
Multi-Graph Learning with Positive and Unlabeled Bags. SDM 2014: 217-225 - 2013
- [j24]Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao:
Active AODE learning based on a novel sampling strategy and its application. Int. J. Comput. Appl. Technol. 47(4): 326-333 (2013) - [j23]Jia Wu, Zhihua Cai:
Boosting for superparent-one-dependence estimators. Int. J. Comput. Sci. Math. 4(3): 277-286 (2013) - [j22]Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang:
Naive Bayes text classifiers: a locally weighted learning approach. J. Exp. Theor. Artif. Intell. 25(2): 273-286 (2013) - [j21]Jia Wu, Zhihua Cai, Xiaolin Chen, Meng Li, Bin Guo:
Weighted Clone Selection Algorithm based on Rough Set Theory. J. Softw. 8(6): 1333-1338 (2013) - [j20]Wenyin Gong, Zhihua Cai:
Differential Evolution With Ranking-Based Mutation Operators. IEEE Trans. Cybern. 43(6): 2066-2081 (2013) - [c47]Ming Yang, Zhihua Cai, Changhe Li, Jing Guan:
An improved adaptive differential evolution algorithm with population adaptation. GECCO 2013: 145-152 - [c46]Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai:
Multi-instance Multi-graph Dual Embedding Learning. ICDM 2013: 827-836 - [c45]Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang:
Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. ICTAI 2013: 512-517 - [c44]Jia Wu, Zhihua Cai, Xingquan Zhu:
Self-adaptive probability estimation for Naive Bayes classification. IJCNN 2013: 1-8 - [c43]Jia Wu, Zhihua Cai, Sanyou Zeng, Xingquan Zhu:
Artificial immune system for attribute weighted Naive Bayes classification. IJCNN 2013: 1-8 - 2012
- [j19]Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang:
Not so greedy: Randomly Selected Naive Bayes. Expert Syst. Appl. 39(12): 11022-11028 (2012) - [j18]Liangxiao Jiang, Dianhong Wang, Zhihua Cai:
Discriminatively Weighted Naive Bayes and its Application in Text Classification. Int. J. Artif. Intell. Tools 21(1) (2012) - [j17]Jia Wu, Zhihua Cai, Shuang Ao:
Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification. Int. J. Comput. Appl. Technol. 43(4): 378-384 (2012) - [j16]Wenyin Gong, Zhihua Cai:
Adaptive Parameter Selection for Strategy Adaptation in Differential Evolution for Continuous Optimization. J. Comput. 7(3): 672-679 (2012) - [j15]Jia Wu, Zhihua Cai, Xiaolin Chen, Shuang Ao, Yongshan Zhang:
Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm. J. Comput. 7(12): 3013-3019 (2012) - [j14]Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang:
Weighted average of one-dependence estimators†. J. Exp. Theor. Artif. Intell. 24(2): 219-230 (2012) - [j13]Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang:
Improving Tree augmented Naive Bayes for class probability estimation. Knowl. Based Syst. 26: 239-245 (2012) - [c42]Wenyin Gong, Zhihua Cai:
An empirical study on differential evolution for optimal power allocation in WSNs. ICNC 2012: 635-639 - [c41]Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang:
A Tri-training Based Transfer Learning Algorithm. ICTAI 2012: 698-703 - [e5]Zhenhua Li, Xiang Li, Yong Liu, Zhihua Cai:
Computational Intelligence and Intelligent Systems - 6th International Symposium, ISICA 2012, Wuhan, China, October 27-28, 2012. Proceedings. Communications in Computer and Information Science 316, Springer 2012, ISBN 978-3-642-34288-2 [contents] - 2011
- [j12]Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang:
A clustering-based differential evolution for global optimization. Appl. Soft Comput. 11(1): 1363-1379 (2011) - [j11]Wenyin Gong, Zhihua Cai, Liyuan Jia, Hui Li:
A Generalized Hybrid Generation Scheme of Differential Evolution for Global Numerical Optimization. Int. J. Comput. Intell. Appl. 10(1): 35-65 (2011) - [j10]Wenyin Gong, Álvaro Fialho, Zhihua Cai, Hui Li:
Adaptive strategy selection in differential evolution for numerical optimization: An empirical study. Inf. Sci. 181(24): 5364-5386 (2011) - [j9]Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li:
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B 41(2): 397-413 (2011) - [c40]Yang Wang, Zhihua Cai:
A novel hybrid biogeography-based optimization with differential mutation. EMEIT 2011: 2710-2714 - [c39]Wenyin Gong, Zhihua Cai:
Adaptive parameter selection for strategy adaptation in differential evolution. GECCO (Companion) 2011: 111-112 - [c38]Ming Yang, Zhihua Cai, Jing Guan, Wenyin Gong:
Differential evolution with improved population reduction. GECCO (Companion) 2011: 143-144 - [c37]Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC 2011: 1260-1264 - [e4]Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu:
Advances in Computation and Intelligence - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings. Lecture Notes in Computer Science 6382, Springer 2011, ISBN 978-3-642-16492-7 [contents] - 2010
- [j8]Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li:
A real-coded biogeography-based optimization with mutation. Appl. Math. Comput. 216(9): 2749-2758 (2010) - [j7]Wenyin Gong, Zhihua Cai, Charles X. Ling:
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization. Soft Comput. 15(4): 645-665 (2010) - [c36]Wenyin Gong, Álvaro Fialho, Zhihua Cai:
Adaptive strategy selection in differential evolution. GECCO 2010: 409-416 - [c35]Álvaro Fialho, Wenyin Gong, Zhihua Cai:
Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed. GECCO (Companion) 2010: 1527-1534 - [c34]Chao Yu, Zhihua Cai, Zhechao Gao, Huaming Zhong:
A New DEBP Algorithm and Its Application for Hematite Content Prediction. ISICA (2) 2010: 11-18 - [c33]Xiaobo Liu, Chao Yu, Zhihua Cai:
Differential Evolution Based Band Selection in Hyperspectral Data Classification. ISICA (1) 2010: 86-94 - [c32]Ming Yang, Jing Guan, Zhihua Cai, Lu Wang:
Self-adapting Differential Evolution Algorithm with Chaos Random for Global Numerical Optimization. ISICA (1) 2010: 112-122 - [c31]Zhenbang Hu, Zhihua Cai:
Feature Synthesis Algorithm Combined with k-NN Classifier for Spectral Data Classification. ISICA (2) 2010: 254-263 - [c30]Siwei Jiang, Zhihua Cai:
Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonal and Uniform Design. ISICA (1) 2010: 312-328 - [c29]Leichen Chen, Zhihua Cai, Lu Chen, Qiong Gu:
A Novel Differential Evolution-Clustering Hybrid Resampling Algorithm on Imbalanced Datasets. WKDD 2010: 81-85 - [e3]Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu:
Computational Intelligence and Intelligent Systems - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings. Communications in Computer and Information Science 107, Springer 2010, ISBN 978-3-642-16387-6 [contents]
2000 – 2009
- 2009
- [j6]Wenyin Gong, Zhihua Cai:
An improved multiobjective differential evolution based on Pareto-adaptive epsilon-dominance and orthogonal design. Eur. J. Oper. Res. 198(2): 576-601 (2009) - [j5]Liangxiao Jiang, Chaoqun Li, Zhihua Cai:
Decision Tree with Better Class Probability Estimation. Int. J. Pattern Recognit. Artif. Intell. 23(4): 745-763 (2009) - [j4]Liangxiao Jiang, Chaoqun Li, Zhihua Cai:
Learning decision tree for ranking. Knowl. Inf. Syst. 20(1): 123-135 (2009) - [j3]Liangxiao Jiang, Harry Zhang, Zhihua Cai:
A Novel Bayes Model: Hidden Naive Bayes. IEEE Trans. Knowl. Data Eng. 21(10): 1361-1371 (2009) - [c28]Siwei Jiang, Zhihua Cai:
A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems. AICI 2009: 28-37 - [c27]Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du:
Hybrid differential evolution based on fuzzy C-means clustering. GECCO 2009: 523-530 - [c26]Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang:
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. ISICA 2009: 151-162 - [c25]Zhiqiang Du, Zhihua Cai, Leichen Chen, Huihui Deng:
An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation. ISICA 2009: 211-216 - [c24]Qiong Gu, Zhihua Cai, Li Zhu:
Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap. ISICA 2009: 287-296 - [c23]Siwei Jiang, Zhihua Cai:
A New Differential Evolution for Multiobjective Optimization by Uniform Design and Minimum Reduce Hypervolume. IWNC 2009: 199-208 - [e2]Zhihua Cai, Zhenhua Li, Zhuo Kang, Yong Liu:
Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009, Proceedings. Lecture Notes in Computer Science 5821, Springer 2009, ISBN 978-3-642-04842-5 [contents] - 2008
- [j2]Wenyin Gong, Zhihua Cai, Liangxiao Jiang:
Enhancing the performance of differential evolution using orthogonal design method. Appl. Math. Comput. 206(1): 56-69 (2008) - [j1]Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang:
Using Instance cloning to Improve Naive Bayes for Ranking. Int. J. Pattern Recognit. Artif. Intell. 22(6): 1121-1140 (2008) - [c22]Bo Huang, Zhihua Cai, Qiong Gu, Changjun Chen:
Using Support Vector Regression for Classification. ADMA 2008: 581-588 - [c21]Wenyin Gong, Zhihua Cai:
A multiobjective differential evolution algorithm for constrained optimization. IEEE Congress on Evolutionary Computation 2008: 181-188 - [c20]Xuesong Yan, Qinghua Wu, Zhihua Cai:
Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm. ICIC (3) 2008: 1-6 - [c19]Jiewei Li, Zhihua Cai:
A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression. ISICA 2008: 510-519 - [c18]Xiaobo Liu, Zhihua Cai, Wenyin Gong:
An Improved Gene Expression Programming for Fuzzy Classification. ISICA 2008: 520-529 - [c17]Siwei Jiang, Zhihua Cai:
Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute. ISICA 2008: 556-561 - [e1]Lishan Kang, Zhihua Cai, Xuesong Yan, Yong Liu:
Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, Wuhan, China, December 19-21, 2008 Proceedings. Lecture Notes in Computer Science 5370, Springer 2008, ISBN 978-3-540-92136-3 [contents] - 2007
- [c16]Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan:
Survey of Improving Naive Bayes for Classification. ADMA 2007: 134-145 - [c15]Jun Du, Zhihua Cai, Charles X. Ling:
Cost-Sensitive Decision Trees with Pre-pruning. Canadian AI 2007: 171-179 - [c14]Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai:
Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science 2007: 104-115 - [c13]Zhihua Cai, Wenyin Gong, Yongqin Huang:
A Novel Differential Evolution Algorithm Based on epsilon -Domination and Orthogonal Design Method for Multiobjective Optimization. EMO 2007: 286-301 - [c12]Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Siwei Jiang:
Survey of Improving K-Nearest-Neighbor for Classification. FSKD (1) 2007: 679-683 - [c11]Zhihua Cai, Dianhong Wang, Liangxiao Jiang:
K-Distributions: A New Algorithm for Clustering Categorical Data. ICIC (2) 2007: 436-443 - [c10]Liangxiao Jiang, Dianhong Wang, Zhihua Cai:
Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. ICIC (2) 2007: 475-484 - [c9]Jun Du, Zhihua Cai, Yunliang Chen:
A Sorting Based Algorithm for Finding a Non-dominated Set in Multi-objective Optimization. ICNC (4) 2007: 436-440 - 2006
- [c8]Wenyin Gong, Zhihua Cai, Xinwei Lu, Siwei Jiang:
A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming. IEEE ICCI 2006: 675-679 - [c7]Wenyin Gong, Zhihua Cai, Charles X. Ling:
ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. Australian Conference on Artificial Intelligence 2006: 709-718 - [c6]Liangxiao Jiang, Harry Zhang, Zhihua Cai:
Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. FSKD 2006: 365-368 - [c5]Jun Wang, Li Zhu, Zhihua Cai, Wenyin Gong, Xinwei Lu:
Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic. Intelligent Information Processing 2006: 317-326 - [c4]Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang:
Augmented Naive Bayes Based on Evolutional Strategy. ISDA (1) 2006: 446-450 - [c3]Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang:
A Novel One-dependence Estimator Based on Multi-parents. ISDA (1) 2006: 639-643 - 2005
- [c2]Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su:
One Dependence Augmented Naive Bayes. ADMA 2005: 186-194 - [c1]Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su:
Learning Tree Augmented Naive Bayes for Ranking. DASFAA 2005: 688-698
Coauthor Index
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