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2020 – today
- 2025
[j212]Zhiming Liu, Jinhai Li, Xiao Zhang, Xizhao Wang:
Multi-level information fusion for missing multi-label learning based on stochastic concept clustering. Inf. Fusion 115: 102775 (2025)- [j211]Zhiming Liu, Jinhai Li, Xiao Zhang, Xi-Zhao Wang:
Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy. IEEE Trans. Neural Networks Learn. Syst. 36(1): 393-406 (2025) - 2024
- [j210]Hufsa Khan
, Muhammad Tahir Rasheed, Shengli Zhang, Xizhao Wang, Han Liu:
Empirical study of outlier impact in classification context. Expert Syst. Appl. 256: 124953 (2024) - [j209]Tianlun Zhang, Xinlei Zhou, Debby D. Wang, Xizhao Wang:
Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation. Inf. Fusion 106: 102253 (2024) - [j208]Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian:
Concept-cognitive learning survey: Mining and fusing knowledge from data. Inf. Fusion 109: 102426 (2024) - [j207]Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang:
Attribute reduction with fuzzy kernel-induced relations. Inf. Sci. 669: 120589 (2024) - [j206]Lina Wang, Yichao He, Xizhao Wang, Zihang Zhou, Haibin Ouyang, Seyedali Mirjalili:
A novel discrete differential evolution algorithm combining transfer function with modulo operation for solving the multiple knapsack problem. Inf. Sci. 680: 121170 (2024) - [j205]Yichao He, Jinghong Wang, Xuejing Liu, Xizhao Wang, Haibin Ouyang:
Modeling and solving of knapsack problem with setup based on evolutionary algorithm. Math. Comput. Simul. 219: 378-403 (2024) - [j204]Hong-Jie Xing, Wei-Tao Liu, Xi-Zhao Wang:
Bounded exponential loss function based AdaBoost ensemble of OCSVMs. Pattern Recognit. 148: 110191 (2024) - [j203]Chong Liu, Yi Wang, Dong Li, Xizhao Wang:
Domain-incremental learning without forgetting based on random vector functional link networks. Pattern Recognit. 151: 110430 (2024) - [j202]Arun Kumar Sangaiah, Xizhao Wang, Mohammad S. Obaidat, Patrick C. K. Hung, Kannan Govindan:
Guest Editorial Data-Driven Innovation and Adversarial Learning Models for Industry 5.0 Toward Consumer Digital Ecosystems. IEEE Trans. Consumer Electron. 70(2): 4878-4881 (2024) - [j201]Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz:
Fuzzy Clustering Guided by Spectral Rotation and Scaling. IEEE Trans. Cybern. 54(11): 6471-6484 (2024) - [j200]Tianlun Zhang, Xizhao Wang:
Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation. IEEE Trans. Fuzzy Syst. 32(2): 398-408 (2024) - [j199]Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue:
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10776-10790 (2024) - 2023
- [j198]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani:
A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. 56(3): 1867-1903 (2023) - [j197]Si Cen, Xizhao Wang, Xiaoying Zou, Chao Liu, Guoquan Dai:
New attention strategy for negative sampling in knowledge graph embedding. Appl. Intell. 53(22): 26418-26438 (2023) - [j196]Salim Rezvani, Xizhao Wang:
A broad review on class imbalance learning techniques. Appl. Soft Comput. 143: 110415 (2023) - [j195]Kaijian Chen, Jingna Liu, Wenwu Guo, Xizhao Wang:
A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings. Comput. Electr. Eng. 109(Part B): 108745 (2023) - [j194]Shuyue Chen, Jiaolv Wu, Jian Lu, Xizhao Wang:
A mathematical model for efficient extraction of key locations from point-cloud data in track area. Ind. Artif. Intell. 1(1) (2023) - [j193]Yan Li, Xiaoxue Wu, Xizhao Wang:
Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping. Int. J. Approx. Reason. 160: 108974 (2023) - [j192]Lanzhen Yang, Eric C. C. Tsang, Xizhao Wang, Chengling Zhang:
ELM parameter estimation in view of maximum likelihood. Neurocomputing 557: 126704 (2023) - [j191]Hufsa Khan, Xizhao Wang, Han Liu:
A study on relationship between prediction uncertainty and robustness to noisy data. Int. J. Syst. Sci. 54(6): 1243-1258 (2023) - [j190]Shiping Wang, Xincan Lin, Yiqing Shi, Xizhao Wang:
Algorithm for orthogonal matrix nearness and its application to feature representation. Inf. Sci. 623: 361-378 (2023) - [j189]Qin Wang, Jingna Liu, Wenwu Guo, Xizhao Wang:
Evolving stochastic configure network: A more compact model with interpretability. Inf. Sci. 639: 119006 (2023) - [j188]Xinlei Zhou, Sudong Chen, Nianjiao Peng, Xinpeng Zhou, Xizhao Wang:
Uncertainty guided pruning of classification model tree. Knowl. Based Syst. 259: 110067 (2023) - [j187]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu:
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4051-4070 (2023) - [j186]Min Wang, Peng Zhao, Xin Lu, Fan Min, Xizhao Wang:
Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2798-2812 (2023) - [j185]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Adversarial Learning With Cost-Sensitive Classes. IEEE Trans. Cybern. 53(8): 4855-4866 (2023) - [j184]Jianhua Dai, Xiongtao Zou, Yuhua Qian, Xizhao Wang:
Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. 31(3): 955-969 (2023) - [j183]Arun Kumar Sangaiah, Xizhao Wang, Yi-Bing Lin, Jianwei Niu, Xiaohui Yuan:
Guest Editorial Cognitive Cyber-Physical Systems With AI Based Solutions in Medical Informatics. IEEE J. Biomed. Health Informatics 27(2): 586-587 (2023) - [j182]Wentao Li, Haoxiang Zhou, Weihua Xu, Xi-Zhao Wang, Witold Pedrycz:
Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6898-6912 (2023) - [j181]Min Wang, Chunyu Yang, Fei Zhao, Fan Min, Xizhao Wang:
Cost-Sensitive Active Learning for Incomplete Data. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 405-416 (2023) - [c86]Si Cen, Han Liu, Chao Liu, Xiaoying Zou, Guoquan Dai, Xizhao Wang:
An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion. ICMLC 2023: 25-30 - [c85]Jinghong Wang, Hui Wang, Jiateng Yang, Xizhao Wang:
Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork. ICMLC 2023: 120-127 - [c84]Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang:
Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. ICMLC 2023: 147-152 - 2022
- [j180]Muhammed J. A. Patwary, Weipeng Cao, Xi-Zhao Wang, Mohammad Ahsanul Haque:
Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos. Appl. Soft Comput. 120: 108655 (2022) - [j179]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing 489: 449-465 (2022) - [j178]Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang:
Adjustable super-resolution network via deep supervised learning and progressive self-distillation. Neurocomputing 500: 379-393 (2022) - [j177]Salim Rezvani, Xizhao Wang:
Intuitionistic fuzzy twin support vector machines for imbalanced data. Neurocomputing 507: 16-25 (2022) - [j176]Chao Liu, Xizhao Wang, Han Liu, Xiaoying Zou, Si Cen, Guoquan Dai:
Learning to recommend journals for submission based on embedding models. Neurocomputing 508: 242-253 (2022) - [j175]Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed J. A. Patwary, Xizhao Wang:
MFF: Multi-modal feature fusion for zero-shot learning. Neurocomputing 510: 172-180 (2022) - [j174]Hufsa Khan, Xizhao Wang, Han Liu:
Handling missing data through deep convolutional neural network. Inf. Sci. 595: 278-293 (2022) - [j173]Shuyue Chen, Ran Wang, Jian Lu, Xizhao Wang:
Stable matching-based two-way selection in multi-label active learning with imbalanced data. Inf. Sci. 610: 281-299 (2022) - [j172]Xiaoying Zou, Xizhao Wang, Si Cen, Guoquan Dai, Chao Liu:
Knowledge graph embedding with self adaptive double-limited loss. Knowl. Based Syst. 252: 109310 (2022) - [j171]Yanting Guo, Meng Hu, Xizhao Wang, Eric C. C. Tsang, Degang Chen, Weihua Xu:
A robust approach to attribute reduction based on double fuzzy consistency measure. Knowl. Based Syst. 253: 109585 (2022) - [j170]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 561-564 (2022) - [j169]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Correction to: Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 565 (2022) - [j168]Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang:
Towards improving fast adversarial training in multi-exit network. Neural Networks 150: 1-11 (2022) - [j167]Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen:
MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion. Neural Networks 154: 234-245 (2022) - [j166]Hong Zhu, Xizhao Wang, Ran Wang:
Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Trans. Fuzzy Syst. 30(9): 3501-3513 (2022) - [j165]Mei Yang, Yu-Xuan Zhang, Xizhao Wang, Fan Min:
Multi-Instance Ensemble Learning With Discriminative Bags. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5456-5467 (2022) - [i7]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. CoRR abs/2201.03649 (2022) - [i6]Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang:
Oracle-guided Contrastive Clustering. CoRR abs/2211.00409 (2022) - 2021
- [j164]Yuxuan Luo, Xizhao Wang, Farhad Pourpanah:
Dual VAEGAN: A generative model for generalized zero-shot learning. Appl. Soft Comput. 107: 107352 (2021) - [j163]Hufsa Khan, Xizhao Wang, Han Liu:
Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering. Comput. Electr. Eng. 93: 107230 (2021) - [j162]Jingna Liu, Rujiang Hao, Tianlun Zhang, Xizhao Wang:
Vibration fault diagnosis based on stochastic configuration neural networks. Neurocomputing 434: 98-125 (2021) - [j161]Salim Rezvani, Xizhao Wang:
Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines. Inf. Sci. 578: 659-682 (2021) - [j160]Yichao He, Xizhao Wang:
Group theory-based optimization algorithm for solving knapsack problems. Knowl. Based Syst. 219: 104445 (2021) - [j159]Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang:
Bidirectional stochastic configuration network for regression problems. Neural Networks 140: 237-246 (2021) - [j158]Jianhui Pang, Yanghui Rao, Haoran Xie, Xizhao Wang, Fu Lee Wang, Tak-Lam Wong, Qing Li:
Fast Supervised Topic Models for Short Text Emotion Detection. IEEE Trans. Cybern. 51(2): 815-828 (2021) - [j157]Lei Zhang, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang:
AdvKin: Adversarial Convolutional Network for Kinship Verification. IEEE Trans. Cybern. 51(12): 5883-5896 (2021) - [j156]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. IEEE Trans. Fuzzy Syst. 29(12): 3635-3649 (2021) - [j155]Min Hu, Fei Qian, Dong Guo, Xizhao Wang, Lei He, Fuji Ren:
ETA-rPPGNet: Effective Time-Domain Attention Network for Remote Heart Rate Measurement. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c83]Lanzhen Yang, Eric C. C. Tsang, Xi-Zhao Wang:
An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds. ICMLC 2021: 1-6 - [c82]Tao Liu, Yuanzi Zhou, Junzhong Bao, Xizhao Wang, Pengfei Zhang:
A Novel Approach to Ship Operational Risk Analysis Based on D-S Evidence Theory. NCAA 2021: 728-741 - [i5]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Adversarial Learning with Cost-Sensitive Classes. CoRR abs/2101.12372 (2021) - [i4]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR abs/2111.01968 (2021) - 2020
- [j154]Jafar Gholami, Farhad Pourpanah, Xizhao Wang:
Feature selection based on improved binary global harmony search for data classification. Appl. Soft Comput. 93: 106402 (2020) - [j153]Ye Liu, Lidi Zheng, Yeliang Xiu, Hong Yin, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li:
Discernibility matrix based incremental feature selection on fused decision tables. Int. J. Approx. Reason. 118: 1-26 (2020) - [j152]Yuxuan Luo, Xizhao Wang, Weipeng Cao:
A novel dataset-specific feature extractor for zero-shot learning. Neurocomputing 391: 74-82 (2020) - [j151]Xinlei Zhou, Xizhao Wang, Cong Hu, Ran Wang:
An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inf. Sci. 535: 16-27 (2020) - [j150]Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang:
Incremental feature selection based on fuzzy rough sets. Inf. Sci. 536: 185-204 (2020) - [j149]Kai Zhang, Jianming Zhan, Xizhao Wang:
TOPSIS-WAA method based on a covering-based fuzzy rough set: An application to rating problem. Inf. Sci. 539: 397-421 (2020) - [j148]Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang:
Deep joint neural model for single image haze removal and color correction. Inf. Sci. 541: 16-35 (2020) - [j147]Tianlun Zhang, Yang Li, Xizhao Wang:
Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning. Knowl. Based Syst. 191: 105231 (2020) - [j146]Ming-Wen Shao, Wei-Zhi Wu, Xi-Zhao Wang, Changzhong Wang:
Knowledge reduction methods of covering approximate spaces based on concept lattice. Knowl. Based Syst. 191: 105269 (2020) - [j145]Salim Rezvani, Xizhao Wang:
Erratum to "Entropy-based fuzzy support vector machine for imbalanced datasets" [Knowl.-Based Syst. 115 (2017) 87-99]. Knowl. Based Syst. 192: 105287 (2020) - [j144]Xingping Xian, Tao Wu, Shaojie Qiao, Xi-Zhao Wang, Wei Wang, Yanbing Liu:
NetSRE: Link predictability measuring and regulating. Knowl. Based Syst. 196: 105800 (2020) - [j143]Ruifeng Xu, Zhiyuan Wen, Lin Gui, Qin Lu, Binyang Li, Xizhao Wang:
Ensemble with estimation: seeking for optimization in class noisy data. Int. J. Mach. Learn. Cybern. 11(2): 231-248 (2020) - [j142]Dejian Yu, Zeshui Xu, Xizhao Wang:
Bibliometric analysis of support vector machines research trend: a case study in China. Int. J. Mach. Learn. Cybern. 11(3): 715-728 (2020) - [j141]Xizhao Wang, Yanxia Zhao, Farhad Pourpanah:
Recent advances in deep learning. Int. J. Mach. Learn. Cybern. 11(4): 747-750 (2020) - [j140]Xizhao Wang, Jinhai Li:
New advances in three-way decision, granular computing and concept lattice. Int. J. Mach. Learn. Cybern. 11(5): 945-946 (2020) - [j139]Yang Li, Zeshui Xu, Xinxin Wang, Xizhao Wang:
A bibliometric analysis on deep learning during 2007-2019. Int. J. Mach. Learn. Cybern. 11(12): 2807-2826 (2020) - [j138]Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming:
A study on the relationship between the rank of input data and the performance of random weight neural network. Neural Comput. Appl. 32(16): 12685-12696 (2020) - [j137]Dongmei Mo, Zhihui Lai, Xizhao Wang, Wai-Keung Wong:
Jointly Sparse Locality Regression for Image Feature Extraction. IEEE Trans. Multim. 22(11): 2873-2888 (2020) - [c81]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CSCloud/EdgeCom 2020: 120-125 - [c80]Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming:
A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) 2020: 352-364 - [c79]Junzhong Bao, Yuanzi Zhou, Peixin Shi, Xizhao Wang:
Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables. NCAA 2020: 220-233 - [i3]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CoRR abs/2005.08704 (2020) - [i2]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang:
A Review of Generalized Zero-Shot Learning Methods. CoRR abs/2011.08641 (2020) - [i1]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Generalized Adversarial Examples: Attacks and Defenses. CoRR abs/2011.14045 (2020)
2010 – 2019
- 2019
- [j136]Qin Lin, Huailing Zhang, Xizhao Wang, Yun Xue, Hongxin Liu, Changwei Gong:
A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers. IEEE Access 7: 28696-28711 (2019) - [j135]Yichao He, Xizhao Wang, Suogang Gao:
Ring Theory-Based Evolutionary Algorithm and its application to D{0-1} KP. Appl. Soft Comput. 77: 714-722 (2019) - [j134]Xizhao Wang, Arun Kumar Sangaiah, Michael Sheng, Syed Hassan Ahmed:
Introduction to the Special Section on Applying Machine Learning Systems for IoT Services in Industrial Informatics. Appl. Soft Comput. 80: 920-922 (2019) - [j133]Hong Zhu, Peng Yao, Xizhao Wang:
Weight learning from cost matrix in weighted least squares model based on genetic algorithm. Int. J. Bio Inspired Comput. 13(4): 269-276 (2019) - [j132]Muhammed J. A. Patwary, Xi-Zhao Wang, Dasen Yan:
Impact of Fuzziness Measures on the Performance of Semi-supervised Learning. Int. J. Fuzzy Syst. 21(5): 1430-1442 (2019) - [j131]Farhad Pourpanah, Chee Peng Lim, Xizhao Wang, Choo Jun Tan, Manjeevan Seera, Yuhui Shi:
A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing 333: 440-451 (2019) - [j130]Li Zhao, Xizhao Wang:
Seemingly unrelated extreme learning machine. Neurocomputing 355: 134-142 (2019) - [j129]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan:
An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing 359: 139-152 (2019) - [j128]Laizhong Cui, Chong Xu, Shu Yang, Joshua Zhexue Huang, Jianqiang Li, Xizhao Wang, Zhong Ming, Nan Lu:
Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things. IEEE Internet Things J. 6(3): 4791-4803 (2019) - [j127]Muhammed J. A. Patwary, Xi-Zhao Wang:
Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning. Inf. Sci. 490: 93-112 (2019) - [j126]Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li:
PARA: A positive-region based attribute reduction accelerator. Inf. Sci. 503: 533-550 (2019) - [j125]Dasen Yan, Xinlei Zhou, Xizhao Wang, Ran Wang:
An off-center technique: Learning a feature transformation to improve the performance of clustering and classification. Inf. Sci. 503: 635-651 (2019) - [j124]Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai:
Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. 11(1): 19-26 (2019) - [j123]Zeshui Xu, Yue He, Xizhao Wang:
An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments. Int. J. Mach. Learn. Cybern. 10(6): 1513-1528 (2019) - [j122]Zeshui Xu, Dejian Yu, Xizhao Wang:
A bibliometric overview of International Journal of Machine Learning and Cybernetics between 2010 and 2017. Int. J. Mach. Learn. Cybern. 10(9): 2375-2387 (2019) - [j121]Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, Yunming Ye:
Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method. IEEE Trans. Cybern. 49(9): 3230-3241 (2019) - [j120]Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung:
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49(11): 3844-3858 (2019) - [j119]Salim Rezvani, Xizhao Wang, Farhad Pourpanah:
Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Trans. Fuzzy Syst. 27(11): 2140-2151 (2019) - [j118]Rong Chen, Shikai Guo, Xi-Zhao Wang, Tianlun Zhang:
Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution. IEEE Trans. Fuzzy Syst. 27(12): 2406-2420 (2019) - [j117]Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang:
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15(3): 1588-1597 (2019) - [j116]Xi-Zhao Wang, Tianlun Zhang, Ran Wang:
Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1299-1308 (2019) - [c78]Bella Martínez-Seis, Xiaoou Li, Xizhao Wang:
Measure community quality by attribute importance and density in social networks. CASE 2019: 628-633 - [c77]Farhad Pourpanah, Ran Wang, Xizhao Wang:
Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS 2019: 108-113 - [c76]