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Weiping Ding 0001

Wei-Ping Ding 0001

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affiliation: Nantong University, School of Computer Science and Technology, Jiangsu, China

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2025
[j393]
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Sarah Qahtan, Nahia Mourad, Hassan Abdulsattar Ibrahim, Aws Alaa Zaidan, Bilal Bahaa, Muhammet Deveci, Weiping Ding, Dragan Pamucar, Witold Pedrycz, Saraswathy Shamini:
Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology. Expert Syst. Appl. 259: 125304 (2025)
[j392]
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Hengrong Ju, Jing Guo, Weiping Ding, Xibei Yang:
D3WC: Deep three-way clustering with granular evidence fusion. Inf. Fusion 114: 102699 (2025)
[j391]
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Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Lu Liu, Anthony Miller, Zhenquan Shi, Weiping Ding:
A unified framework of semi-supervised community detection integrating network topology and node content. Inf. Sci. 686: 121349 (2025)
[j390]
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Liguo Fei, Tao Li, Xiaoyu Liu, Weiping Ding:
A novel multi-source information fusion method for emergency spatial resilience assessment based on Dempster-Shafer theory. Inf. Sci. 686: 121373 (2025)
[j389]
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Weiping Ding, Jing Wang, Jiashuang Huang, Chun Cheng, Shu Jiang:
MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion. Inf. Sci. 687: 121376 (2025)
[j388]
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Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao, Guangen Liu:
Hyperspectral image classification using feature fusion fuzzy graph broad network. Inf. Sci. 689: 121504 (2025)
[j387]
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Jianfeng Xu, Ruihua Wang, Yuanjian Zhang, Weiping Ding:
Adaptive sequential three-way decisions for dynamic time warping. Inf. Sci. 690: 121541 (2025)
2024
[j386]
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Chun Cheng, Jiahao Gu, Siyan Lu, Weiping Ding:
Modified Hegselmann-Krause Model for Enhancing Opinion Diversity in Social Networks. IEEE Access 12: 140715-140721 (2024)
[j385]
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Jinglin Wang, Haibin Ouyang, Steven Li, Weiping Ding, Liqun Gao:
Equilibrium optimizer-based harmony search algorithm with nonlinear dynamic domains and its application to real-world optimization problems. Artif. Intell. Rev. 57(7): 166 (2024)
[j384]
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Xunjin Wu, Jianming Zhan, Tianrui Li, Weiping Ding, Witold Pedrycz:
MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection. Appl. Intell. 54(2): 1706-1733 (2024)
[j383]
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Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu:
Sparse feature selection via local feature and high-order label correlation. Appl. Intell. 54(11-12): 565-591 (2024)
[j382]
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Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu, Baofang Chang:
CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection. Appl. Intell. 54(15-16): 7397-7417 (2024)
[j381]
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Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang:
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. Artif. Intell. Medicine 157: 102990 (2024)
[j380]
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Lin Sun, Mengmeng Li, Weiping Ding, Jiucheng Xu:
Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data. Appl. Soft Comput. 149(Part A): 110968 (2024)
[j379]
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Pingxin Wang, Xibei Yang, Weiping Ding, Jianming Zhan, Yiyu Yao:
Three-way clustering: Foundations, survey and challenges. Appl. Soft Comput. 151: 111131 (2024)
[j378]
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Hengrong Ju, Yang Lu, Weiping Ding, Jinxin Cao, Xibei Yang:
Three-way evidence theory-based density peak clustering with the principle of justifiable granularity. Appl. Soft Comput. 152: 111217 (2024)
[j377]
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Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, Yuepeng Chen:
Pheromone-guided parallel rough hypercuboid attribute reduction algorithm. Appl. Soft Comput. 156: 111479 (2024)
[j376]
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Yupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, Weiping Ding:
Adversarially attack feature similarity for fine-grained visual classification. Appl. Soft Comput. 163: 111945 (2024)
[j375]
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Guangming Lang, Weiping Ding, Duoqian Miao, Hamido Fujita, Yiyu Yao:
Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information. Appl. Soft Comput. 164: 111939 (2024)
[j374]
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Xiuyi Jia, Qiaowanni Lin, Weiping Ding:
An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction. Appl. Soft Comput. 166: 112240 (2024)
[j373]
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Jinxin Cao, Xiaoyang Zou, Weizhong Xu, Weiping Ding, Hengrong Ju, Lu Liu, Fuxiang Chen, Di Jin:
ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks. Appl. Soft Comput. 167: 112250 (2024)
[j372]
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Benjamín Gutiérrez-Serafín, Javier Andreu-Perez, Humberto Pérez Espinosa, Silke Paulmann, Weiping Ding:
Toward assessment of human voice biomarkers of brain lesions through explainable deep learning. Biomed. Signal Process. Control. 87(Part B): 105457 (2024)
[j371]
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Ya'nan Guan, Weiping Ding, Shujiao Liao, Wenyuan Yang:
CycMixer: A simplified and rapidly converging object detection network of query based on cycle mixing. Eng. Appl. Artif. Intell. 127(Part A): 107220 (2024)
[j370]
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Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang, Chi-Man Vong:
Label correlations-based multi-label feature selection with label enhancement. Eng. Appl. Artif. Intell. 127(Part A): 107310 (2024)
[j369]
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Yinxin Bao, Qinqin Shen, Yang Cao, Weiping Ding, Quan Shi:
Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction. Eng. Appl. Artif. Intell. 133: 108135 (2024)
[j368]
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Shuai Liu, Zhe Luo, Yating Li, Yunhe Wang, Weina Fu, Weiping Ding:
Solution of wide and micro background bias in contrastive action representation learning. Eng. Appl. Artif. Intell. 133: 108244 (2024)
[j367]
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Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Jinlei Liu, Yanrui Jin, Weiping Ding, Chengliang Liu:
Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models. Eng. Appl. Artif. Intell. 136: 108880 (2024)
[j366]
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Xuxue Sun, Nan Kong, Weiping Ding, Ying Li, Nazmus Sakib, Hao Zeng, Hongdao Meng, Chris Masterson, Mingyang Li:
An intelligent decision support framework for nursing home resource planning with enhanced heterogeneous service demand modeling. Eng. Appl. Artif. Intell. 137: 109221 (2024)
[j365]
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Chun-Hsiang Chuang, Shao-Xun Fang, Chih-Sheng Huang, Weiping Ding:
InfoFlowNet: A multi-head attention-based self-supervised learning model with surrogate approach for uncovering brain effective connectivity. Eng. Appl. Artif. Intell. 138: 109347 (2024)
[j364]
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Wei-Ping Ding, Mohamed Abdel-Basset, Ahmed M. Ali, Nour Moustafa:
A survey of intelligent multimedia forensics for internet of things communications: Approaches, strategies, perspectives, and challenges for a sustainable future. Eng. Appl. Artif. Intell. 138: 109451 (2024)
[j363]
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Pengyu Xue, Liguo Fei, Weiping Ding:
A volunteer allocation optimization model in response to major natural disasters based on improved Dempster-Shafer theory. Expert Syst. Appl. 236: 121285 (2024)
[j362]
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Chenlu Zhu, Xiaodi Liu, Weiping Ding, Shitao Zhang:
Cloud model-based multi-stage multi-attribute decision-making method under probabilistic interval-valued hesitant fuzzy environment. Expert Syst. Appl. 255: 124595 (2024)
[j361]
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Bin Yu, Zijian Zheng, Mingjie Cai, Witold Pedrycz, Weiping Ding:
FRCM: A fuzzy rough c-means clustering method. Fuzzy Sets Syst. 480: 108860 (2024)
[j360]
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Nana Han, Junsheng Qiao, Tengbiao Li, Weiping Ding:
Multigranulation fuzzy probabilistic rough sets induced by overlap functions and their applications. Fuzzy Sets Syst. 481: 108893 (2024)
[j359]
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María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera:
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica 11(4): 824-850 (2024)
[j358]
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Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Xiuyu Huang, Saikit Lam, Jiabao Sheng, Kup-Sze Choi, Jing Cai, Weiping Ding:
Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels. Inf. Fusion 101: 101977 (2024)
[j357]
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Chuanbin Zhang, Long Chen, Zhaoyin Shi, Weiping Ding:
Latent information-guided one-step multi-view fuzzy clustering based on cross-view anchor graph. Inf. Fusion 102: 102025 (2024)
[j356]
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Zhen-Song Chen, Zhuo-Ran Wang, Muhammet Deveci, Weiping Ding, Witold Pedrycz, Miroslaw J. Skibniewski:
Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives. Inf. Fusion 102: 102026 (2024)
[j355]
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Jicun Jiang, Xiaodi Liu, Zengwen Wang, Weiping Ding, Shitao Zhang:
Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach. Inf. Fusion 102: 102062 (2024)
[j354]
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Bo Liu, Lejian He, Yuchen Xie, Yuejia Xiang, Li Zhu, Weiping Ding:
MinJoT: Multimodal infusion Joint Training for noise learning in text and multimodal classification problems. Inf. Fusion 102: 102071 (2024)
[j353]
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Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding:
Missing multi-label learning based on the fusion of two-level nonlinear mappings. Inf. Fusion 103: 102105 (2024)
[j352]
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Bin Yu, Ruihui Xu, Mingjie Cai, Weiping Ding:
A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern. Inf. Fusion 103: 102137 (2024)
[j351]
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Huchang Liao, Jiaxin Qi, Jiawei Zhang, Chonghui Zhang, Fan Liu, Weiping Ding:
Mining and fusing unstructured online reviews and structured public index data for hospital selection. Inf. Fusion 103: 102142 (2024)
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Wenqian Shang, Jiazhao Chai, Jianxiang Cao, Xia Lei, Haibin Zhu, Yongkai Fan, Weiping Ding:
Aspect-level sentiment analysis based on aspect-sentence graph convolution network. Inf. Fusion 104: 102143 (2024)
[j349]
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Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding:
Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language. Inf. Fusion 104: 102179 (2024)
[j348]
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Ming Li, Xiaosheng Zhuang, Lu Bai, Weiping Ding:
Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction. Inf. Fusion 105: 102224 (2024)
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Xiangrui Li, Dongxu Wei, Xiyuan Hu, Liming Zhang, Weiping Ding, Zhenmin Tang:
Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency-original domains. Inf. Fusion 106: 102262 (2024)
[j346]
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Gleb Beliakov, Jianzhang Wu, Weiping Ding:
Representation, optimization and generation of fuzzy measures. Inf. Fusion 106: 102295 (2024)
[j345]
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Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You:
Few-shot object detection: Research advances and challenges. Inf. Fusion 107: 102307 (2024)
[j344]
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Xiao Wang, Yutong Wang, Jing Yang, Xiaofeng Jia, Lijun Li, Weiping Ding, Fei-Yue Wang:
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0. Inf. Fusion 107: 102321 (2024)
[j343]
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Yuxin Zhao, Xiaobo Li, Changjun Zhou, Hao Peng, Zhonglong Zheng, Jun Chen, Wei-Ping Ding:
A review of cancer data fusion methods based on deep learning. Inf. Fusion 108: 102361 (2024)
[j342]
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Yingbai Hu, Fares J. Abu-Dakka, Fei Chen, Xiao Luo, Zheng Li, Alois Knoll, Weiping Ding:
Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview. Inf. Fusion 108: 102379 (2024)
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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)
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Cong Huang, Serdar Coskun, Hamid Reza Karimi, Weiping Ding:
A distributed state and fault estimation scheme for state-saturated systems with quantized measurements over sensor networks. Inf. Fusion 110: 102452 (2024)
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Sheng Li, Ke Feng, Yadong Xu, Yongbo Li, Qing Ni, Ke Zhang, Yulin Wang, Weiping Ding:
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion. Inf. Fusion 110: 102453 (2024)
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Junwei Duan, Jiaqi Xiong, Yinghui Li, Weiping Ding:
Deep learning based multimodal biomedical data fusion: An overview and comparative review. Inf. Fusion 112: 102536 (2024)
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Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou:
FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. Inf. Fusion 112: 102540 (2024)
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Liguo Fei, Tao Li, Weiping Ding:
Dempster-Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review. Inf. Fusion 112: 102585 (2024)
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Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin:
RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. Inf. Sci. 657: 120007 (2024)
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Rong Jiang, Rui Liu, Tao Zhang, Weiping Ding, Sheng-Hu Tian:
An electronic medical record access control model based on intuitionistic fuzzy trust. Inf. Sci. 658: 120054 (2024)
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Weiping Ding, Ibrahim Alrashdi, Hossam Hawash, Mohamed Abdel-Basset:
DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks. Inf. Sci. 658: 120057 (2024)
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Xuming Han, Yali Chu, Eric Ke Wang, Limin Wang, Lin Yue, Weiping Ding:
TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning. Inf. Sci. 665: 120229 (2024)
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Hangming Zhang, Hanping Hu, Weiping Ding:
VSDHS-CIEA: Color image encryption algorithm based on novel variable-structure discrete hyperchaotic system and cross-plane confusion strategy. Inf. Sci. 665: 120332 (2024)
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Weiping Ding, Mohamed Abdel-Basset, Ibrahim Alrashdi, Hossam Hawash:
Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction. Inf. Sci. 665: 120338 (2024)
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Yunfei He, Li Meng, Jian Ma, Yiwen Zhang, Qun Wu, Weiping Ding, Fei Yang:
Hierarchical bottleneck for heterogeneous graph representation. Inf. Sci. 667: 120422 (2024)
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Yanli Li, Weiping Ding, Huaming Chen, Wei Bao, Dong Yuan:
Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning. Inf. Sci. 667: 120475 (2024)
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Lin Sun, Yuxuan Ma, Weiping Ding, Zhihao Lu, Jiucheng Xu:
LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy. Inf. Sci. 667: 120501 (2024)
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Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin:
A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark. Inf. Sci. 668: 120521 (2024)
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Rongtao Zhang, Xueling Ma, Chao Zhang, Weiping Ding, Jianming Zhan:
GA-FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms. Inf. Sci. 669: 120566 (2024)
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Nana Zhang, Kun Zhu, Weiping Ding, Dandan Zhu:
WSBCV: A data-driven cross-version defect model via multi-objective optimization and incremental representation learning. Inf. Sci. 669: 120595 (2024)
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Shancheng Jiang, Zehui Wu, Haiqiong Yang, Kun Xiang, Weiping Ding, Zhen-Song Chen:
A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification. Inf. Sci. 673: 120705 (2024)
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Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang:
Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. 674: 120647 (2024)
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Salama A. Mostafa, Sharran Ravi, Dilovan Asaad Zebari, Nechirvan Asaad Zebari, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Muhammet Deveci, Weiping Ding:
A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces. Inf. Sci. 676: 120865 (2024)
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Jicun Jiang, Xiaodi Liu, Zengwen Wang, Weiping Ding, Shitao Zhang, Hao Xu:
Large group decision-making with a rough integrated asymmetric cloud model under multi-granularity linguistic environment. Inf. Sci. 678: 120994 (2024)
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Ziqiang Gao, Linlin Zhou, Weiping Ding, Haipeng Wang:
A retinal vessel segmentation network approach based on rough sets and attention fusion module. Inf. Sci. 678: 121015 (2024)
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Yaxin Hou, Weiping Ding, Chongsheng Zhang:
imFTP: Deep imbalance learning via fuzzy transition and prototypical learning. Inf. Sci. 679: 121071 (2024)
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Pingting Hao, Weiping Ding, Wanfu Gao, Jialong He:
Exploring view-specific label relationships for multi-view multi-label feature selection. Inf. Sci. 681: 121215 (2024)
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Muhammad Jabir Khan, Shu Jiang, Weiping Ding, Jiashuang Huang, Haipeng Wang:
An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer. Inf. Sci. 684: 121291 (2024)
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Xuanming Chang, Beijing Chen, Weiping Ding, Xin Liao:
A DNN robust video watermarking method in dual-tree complex wavelet transform domain. J. Inf. Secur. Appl. 85: 103868 (2024)
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Wenbin Qian, Yanqiang Tu, Jintao Huang, Weiping Ding:
Partial multi-label learning via robust feature selection and relevance fusion optimization. Knowl. Based Syst. 286: 111365 (2024)
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Lin Sun, Qifeng Zhang, Weiping Ding, Jiucheng Xu:
Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection. Knowl. Based Syst. 299: 112125 (2024)
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Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu:
LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning. Int. J. Mach. Learn. Cybern. 15(2): 533-558 (2024)
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Yecong Wan, Mingwen Shao, Yuanshuo Cheng, Weiping Ding:
Fuzzy-based cross-image pixel contrastive learning for compact medical image segmentation. Multim. Tools Appl. 83(10): 30377-30397 (2024)
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Xiaoling Wu, Yu-Feng Yu, Long Chen, Weiping Ding, Yingxu Wang:
Robust deep fuzzy K-means clustering for image data. Pattern Recognit. 153: 110504 (2024)
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Changzhong Wang, Shibing Pei, Xiang Lv, Weiping Ding:
Multiscale collaborative representation for face recognition via class-information fusion. Pattern Recognit. 154: 110586 (2024)
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Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding:
Partial label feature selection based on noisy manifold and label distribution. Pattern Recognit. 156: 110791 (2024)
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Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding, Yuhua Qian:
Low-Rank Multilabel Learning Based on Nonlinear Mapping. IEEE Trans. Artif. Intell. 5(6): 2693-2707 (2024)
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Kun Zhu, Nana Zhang, Weiping Ding, Changjun Jiang:
An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection. IEEE Trans. Artif. Intell. 5(8): 4026-4041 (2024)
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Deepak Kumar Jain, Shamimul Qamar, Saurabh Raj Sangwan, Weiping Ding, Anand J. Kulkarni:
Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(1): 17:1-17:17 (2024)
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Shu Jiang, Zuchao Li, Hai Zhao, Weiping Ding:
Entity-Relation Extraction as Full Shallow Semantic Dependency Parsing. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1088-1099 (2024)
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Weiping Ding, Ying Sun, Ming Li, Jun Liu, Hengrong Ju, Jiashuang Huang, Chin-Teng Lin:
A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence. IEEE Trans. Cybern. 54(3): 1470-1483 (2024)
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Shiming Chen, Shuhuang Chen, Wenjin Hou, Weiping Ding, Xinge You:
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning. IEEE Trans. Evol. Comput. 28(3): 582-596 (2024)
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz:
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 126-139 (2024)
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Bin Yu, Hengjie Xie, Mingjie Cai, Weiping Ding:
MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 288-299 (2024)
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Yaojin Lin, Zhuoxin He, Lei Guo, Weiping Ding:
Multi-Label Feature Selection via Positive or Negative Correlation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 401-415 (2024)
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Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang:
Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 604-614 (2024)
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Di Wang, Zhuoran Zheng, Weiping Ding, Xiuyi Jia:
LGABL: UHD Multi-Exposure Image Fusion via Local and Global Aware Bilateral Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1362-1375 (2024)
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Dandan Zhu, Kun Zhu, Weiping Ding, Nana Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang:
MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1756-1771 (2024)
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Qin Xie, Qinghua Zhang, Shuyin Xia, Fan Zhao, Chengying Wu, Guoyin Wang, Weiping Ding:
GBG++: A Fast and Stable Granular Ball Generation Method for Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2022-2036 (2024)
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Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata:
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2228-2239 (2024)
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Huashi Zhu, Dexuan Xu, Yu Huang, Zhi Jin, Weiping Ding, Jiahui Tong, Guoshuang Chong:
Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2697-2708 (2024)
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Yingbai Hu, Wei Zhou, Yueyue Liu, Minghao Zeng, Weiping Ding, Shu Li, Guoxin Li, Zheng Li, Alois Knoll:
Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3559-3575 (2024)
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Chenglong Zhu, Xueling Ma, Weiping Ding, Jianming Zhan:
Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework. IEEE Trans. Fuzzy Syst. 32(1): 322-336 (2024)
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Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding:
Fuzzy-Granular Concept-Cognitive Learning via Three-Way Decision: Performance Evaluation on Dynamic Knowledge Discovery. IEEE Trans. Fuzzy Syst. 32(3): 1409-1423 (2024)
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Yi Ding, Weihua Xu, Weiping Ding, Yuhua Qian:
IFCRL: Interval-Intent Fuzzy Concept Re-Cognition Learning Model. IEEE Trans. Fuzzy Syst. 32(6): 3581-3593 (2024)
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Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang:
BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. IEEE Trans. Fuzzy Syst. 32(8): 4234-4247 (2024)
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Jianming Zhan, Xianfeng Huang, Yuhua Qian, Weiping Ding:
A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection. IEEE Trans. Fuzzy Syst. 32(8): 4270-4284 (2024)
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Bozena Malysiak-Mrozek, Bartlomiej Ryba, Marek Moleda, Che-Lun Hung, Witold Pedrycz, Weiping Ding, Dariusz Mrozek:
Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka. IEEE Trans. Fuzzy Syst. 32(8): 4671-4684 (2024)
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Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin:
FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification. IEEE Trans. Fuzzy Syst. 32(8): 4709-4723 (2024)
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Jianhua Dai, Tao Chen, Kai Zhang, Dun Liu, Weiping Ding:
GIFTWD: A Prospect Theory-Based Generalized Intuitionistic Fuzzy Three-Way Decision Model. IEEE Trans. Fuzzy Syst. 32(9): 4805-4819 (2024)
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Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin:
Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems. IEEE Trans. Fuzzy Syst. 32(9): 5320-5333 (2024)
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Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. 32(10): 5462-5476 (2024)
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Weiping Ding, Chuansheng Liu, Jiashuang Huang, Chun Cheng, Hengrong Ju:
ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval. IEEE Trans. Fuzzy Syst. 32(10): 5571-5584 (2024)
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Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, Weiping Ding:
Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 32(10): 5714-5727 (2024)
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Junhao Huang, Yuhui Deng, Eric Ke Wang, Zhangwei Li, Zhimin Tang, Weiping Ding:
UnbiasNet: Vehicle Re-Identification Oriented Unbiased Feature Enhancement by Using Causal Effect. IEEE Trans. Intell. Transp. Syst. 25(2): 1925-1937 (2024)
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Yonglin Tian, Xianjing Zhang, Xiao Wang, Jintao Xu, Jiangong Wang, Rui Ai, Weihao Gu, Weiping Ding:
ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images. IEEE Trans. Intell. Veh. 9(2): 3360-3371 (2024)
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Xiangyu Wei, Wei Wang, Chongsheng Zhang, Weiping Ding, Bin Wang, Yaguan Qian, Zhen Han, Chunhua Su:
Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks. ACM Trans. Knowl. Discov. Data 18(8): 204:1-204:25 (2024)
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Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, Weiping Ding:
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity. IEEE Trans. Knowl. Data Eng. 36(11): 5797-5810 (2024)
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Kehua Yuan, Duoqian Miao, Witold Pedrycz, Weiping Ding, Hongyun Zhang:
Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery. IEEE Trans. Knowl. Data Eng. 36(11): 7326-7339 (2024)
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Shiming Chen, Ziming Hong, Guo-Sen Xie, Qinmu Peng, Xinge You, Weiping Ding, Ling Shao:
GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4516-4529 (2024)
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Yonglin Tian, Yu Shen, Xiao Wang, Jiangong Wang, Kunfeng Wang, Weiping Ding, Zilei Wang, Fei-Yue Wang:
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8984-8998 (2024)
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Guoxia Xu, Chunming He, Hao Wang, Hu Zhu, Weiping Ding:
DM-Fusion: Deep Model-Driven Network for Heterogeneous Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10071-10085 (2024)
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Qinghua Zhang, Fan Zhao, Yunlong Cheng, Man Gao, Guoyin Wang, Shuyin Xia, Weiping Ding:
Effective Value Analysis of Fuzzy Similarity Relation in HQSS for Efficient Granulation. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12849-12863 (2024)
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Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi:
FedTP: Federated Learning by Transformer Personalization. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13426-13440 (2024)
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Xin Jin, Zien Cheng, Qian Jiang, Wei-Ping Ding, Yunyun Dong, Liwen Wu, Shengfa Miao:
RIHNet: A Robust Image Hiding Method for JPEG Compression. ICIC (10) 2024: 29-42
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Xiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding, Di Jin:
GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way. ICIC (12) 2024: 388-398
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Tao Hou, Jiashuang Huang, Shu Jiang, Weiping Ding:
Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis. MICCAI (2) 2024: 356-366
[i39]
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Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao:
DE³-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. CoRR abs/2402.05948 (2024)
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Yingbai Hu, Fares J. Abu-Dakka, Fei Chen, Xiao Luo, Zheng Li, Alois Knoll, Weiping Ding:
Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview. CoRR abs/2403.19916 (2024)
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Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You:
Few-Shot Object Detection: Research Advances and Challenges. CoRR abs/2404.04799 (2024)
[i36]
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Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Zhe Liu, Weiping Ding:
How to characterize imprecision in multi-view clustering? CoRR abs/2404.04970 (2024)
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Xiao Wang, Yutong Wang, Jing Yang, Xiaofeng Jia, Lijun Li, Weiping Ding, Fei-Yue Wang:
The Survey on Multi-Source Data Fusion in Cyber-Physical-Social Systems: Foundational Infrastructure for Industrial Metaverses and Industries 5.0. CoRR abs/2404.07476 (2024)
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Runwei Guan, Rongsheng Hu, Zhuhao Zhou, Tianlang Xue, Ka Lok Man, Jeremy S. Smith, Eng Gee Lim, Weiping Ding, Yutao Yue:
Referring Flexible Image Restoration. CoRR abs/2404.10342 (2024)
[i33]
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Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura:
A Survey on Deep Active Learning: Recent Advances and New Frontiers. CoRR abs/2405.00334 (2024)
[i32]
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Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding:
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges. CoRR abs/2407.06754 (2024)
[i31]
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Jing Chen, Shengyi Yang, Weiping Ding, Peng Li, Aijun Liu, Hongjun Zhang, Tian Li:
Incremental high average-utility itemset mining: survey and challenges. CoRR abs/2407.11425 (2024)
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Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin:
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification. CoRR abs/2407.15312 (2024)
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Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin:
Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems. CoRR abs/2407.15893 (2024)
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Lixi Zhao, Weiping Ding, Duoqian Miao, Guangming Lang:
Granular-Balls based Fuzzy Twin Support Vector Machine for Classification. CoRR abs/2408.00699 (2024)
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Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou:
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. CoRR abs/2408.02075 (2024)
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Hui Luo, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Weiping Ding:
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction. CoRR abs/2408.04170 (2024)
2023
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Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Chen, Tao Yin:
Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network. IEEE Access 11: 57071-57082 (2023)
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Ganeshsree Selvachandran, Shio Gai Quek, Raveendran Paramesran, Weiping Ding, Le Hoang Son:
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods. Artif. Intell. Rev. 56(2): 915-964 (2023)
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Wenjie Wang, Jianming Zhan, Weiping Ding, Shuping Wan:
A three-way decision method with tolerance dominance relations in decision information systems. Artif. Intell. Rev. 56(7): 6403-6438 (2023)
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Jiang Deng, Jianming Zhan, Weiping Ding, Peide Liu, Witold Pedrycz:
A novel prospect-theory-based three-way decision methodology in multi-scale information systems. Artif. Intell. Rev. 56(7): 6591-6625 (2023)
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Anubha Parashar, Apoorva Parashar, Weiping Ding, Rajveer Singh Shekhawat, Imad Rida:
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review. Artif. Intell. Rev. 56(8): 8889-8953 (2023)
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Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding:
An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53(5): 5449-5461 (2023)
[j263]
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Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding:
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53(7): 8506 (2023)
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Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek:
Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. 132: 109834 (2023)
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Sükran Seker, Fatma Betül Baglan, Nezir Aydin, Muhammet Deveci, Weiping Ding:
Risk assessment approach for analyzing risk factors to overcome pandemic using interval-valued q-rung orthopair fuzzy decision making method. Appl. Soft Comput. 132: 109891 (2023)
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Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, Yuanyuan Ma:
AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization. Appl. Soft Comput. 138: 110211 (2023)
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Aparna Pramanik, Asit Kumar Das, Weiping Ding:
Graph based fuzzy clustering algorithm for crime report labelling. Appl. Soft Comput. 141: 110261 (2023)
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Xiaobo Li, Qiyong Fu, Qi Li, Weiping Ding, Feilong Lin, Zhonglong Zheng:
Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy. Appl. Soft Comput. 145: 110558 (2023)
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Shio Gai Quek, Ganeshsree Selvachandran, Angie Yih Tsyr Wong, Feng Shin Wong, Weiping Ding, Ajith Abraham:
A multi-attribute decision-making fusion model for stock trading with customizable investor personality traits in a picture fuzzy environment. Appl. Soft Comput. 147: 110715 (2023)
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Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu:
Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data. Appl. Soft Comput. 147: 110837 (2023)
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Weijie Xu, Lina Nie, Beijing Chen, Weiping Ding:
Dual-stream EfficientNet with adversarial sample augmentation for COVID-19 computer aided diagnosis. Comput. Biol. Medicine 165: 107451 (2023)
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Weizhong Wang, Xiao Han, Weiping Ding, Qun Wu, Xiaoqing Chen, Muhammet Deveci:
A Fermatean fuzzy Fine-Kinney for occupational risk evaluation using extensible MARCOS with prospect theory. Eng. Appl. Artif. Intell. 117(Part): 105518 (2023)
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Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhen-Quan Shi, Quan Shi:
Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction. Eng. Appl. Artif. Intell. 121: 106044 (2023)
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Mu Nie, Zhibin Quan, Weiping Ding, Wankou Yang:
Enhancing motion visual cues for self-supervised video representation learning. Eng. Appl. Artif. Intell. 123(Part A): 106203 (2023)
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Erfan Babaee Tirkolaee, Ali Ebadi Torkayesh, Madjid Tavana, Alireza Goli, Vladimir Simic, Weiping Ding:
An integrated decision support framework for resilient vaccine supply chain network design. Eng. Appl. Artif. Intell. 126: 106945 (2023)
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Ilgin Gökasar, Dragan Pamucar, Muhammet Deveci, Weiping Ding:
A novel rough numbers based extended MACBETH method for the prioritization of the connected autonomous vehicles in real-time traffic management. Expert Syst. Appl. 211: 118445 (2023)
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Sarah Qahtan, Aws Alaa Zaidan, Hassan Abdulsattar Ibrahim, Muhammet Deveci, Weiping Ding, Dragan Pamucar:
A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set. Expert Syst. Appl. 224: 119991 (2023)
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Shuang An, Mengru Zhang, Changzhong Wang, Weiping Ding:
Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection. Fuzzy Sets Syst. 461: 108476 (2023)
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Jianming Zhan, Jiajia Wang, Weiping Ding, Yiyu Yao:
Three-Way Behavioral Decision Making With Hesitant Fuzzy Information Systems: Survey and Challenges. IEEE CAA J. Autom. Sinica 10(2): 330-350 (2023)
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Yangyang Zhao, Fuyuan Xiao, Masayoshi Aritsugi, Weiping Ding:
A Quantum Tanimoto Coefficient Fidelity for Entanglement Measurement. IEEE CAA J. Autom. Sinica 10(2): 439-450 (2023)
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Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023)
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Li Duan, Yangyang Sun, Wei Ni, Weiping Ding, Jiqiang Liu, Wei Wang:
Attacks Against Cross-Chain Systems and Defense Approaches: A Contemporary Survey. IEEE CAA J. Autom. Sinica 10(8): 1647-1667 (2023)
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Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu:
Bi-directional adaptive neighborhood rough sets based attribute subset selection. Int. J. Approx. Reason. 160: 108966 (2023)
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Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, Cheng Wang, Jixiang Du:
Multi-label feature selection based on label distribution and neighborhood rough set. Neurocomputing 524: 142-157 (2023)
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Peng Ping, Cong Huang, Weiping Ding, Yongkang Liu, Chiyomi Miyajima, Kazuya Takeda:
Distracted driving detection based on the fusion of deep learning and causal reasoning. Inf. Fusion 89: 121-142 (2023)
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Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, Weiping Ding:
TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification. Inf. Fusion 92: 350-362 (2023)
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Li Guo, Pengfei Shi, Long Chen, Chenglizhao Chen, Weiping Ding:
Pixel and region level information fusion in membership regularized fuzzy clustering for image segmentation. Inf. Fusion 92: 479-497 (2023)
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Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, Wenhao Shu:
Disambiguation-based partial label feature selection via feature dependency and label consistency. Inf. Fusion 94: 152-168 (2023)
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Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu:
TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data. Inf. Fusion 95: 91-108 (2023)
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Cong Huang, Weiping Ding, Ruifeng Gao, Peng Mei, Hamid Reza Karimi:
Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocol. Inf. Fusion 95: 293-305 (2023)
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Zuowei Zhang, Liangbo Ning, Zechao Liu, Qingyu Yang, Weiping Ding:
Mining and reasoning of data uncertainty-induced imprecision in deep image classification. Inf. Fusion 96: 202-213 (2023)
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Dexuan Xu, Huashi Zhu, Yu Huang, Zhi Jin, Weiping Ding, Hang Li, Menglong Ran:
Vision-knowledge fusion model for multi-domain medical report generation. Inf. Fusion 97: 101817 (2023)
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Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz:
Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems. Inf. Fusion 99: 101860 (2023)
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Hebing Nie, Qun Wu, Haifeng Zhao, Weiping Ding, Muhammet Deveci:
Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction. Inf. Fusion 99: 101872 (2023)
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Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz:
FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. Inf. Fusion 99: 101880 (2023)
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Zuhe Li, Qingbing Guo, Yushan Pan, Weiping Ding, Jun Yu, Yazhou Zhang, Weihua Liu, Haoran Chen, Hao Wang, Ying Xie:
Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis. Inf. Fusion 99: 101891 (2023)
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Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A survey on fairness-aware recommender systems. Inf. Fusion 100: 101906 (2023)
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Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King:
A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion 100: 101909 (2023)
[j227]
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Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu, Weiping Ding:
MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs. Inf. Fusion 100: 101935 (2023)
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Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding:
A survey on multi-label feature selection from perspectives of label fusion. Inf. Fusion 100: 101948 (2023)
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Qinghua Zhang, Ying Yang, Yunlong Cheng, Guoyin Wang, Weiping Ding, Wei-Zhi Wu, Danilo Pelusi:
Information fusion for multi-scale data: Survey and challenges. Inf. Fusion 100: 101954 (2023)
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Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding:
M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion. Inf. Fusion 100: 101962 (2023)
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Xunjin Wu, Jianming Zhan, Weiping Ding:
TWC-EL: A multivariate prediction model by the fusion of three-way clustering and ensemble learning. Inf. Fusion 100: 101966 (2023)
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Shuai Liu, Shuai Wang, Xinyu Liu, Jianhua Dai, Khan Muhammad, Amir H. Gandomi, Weiping Ding, Mohammad Hijji, Victor Hugo C. de Albuquerque:
Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring. IEEE Internet Things J. 10(5): 3735-3748 (2023)
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Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, Weiping Ding:
Internet of Behaviors: A Survey. IEEE Internet Things J. 10(13): 11117-11134 (2023)
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Shuai Liu, Peng Gao, Yating Li, Weina Fu, Weiping Ding:
Multi-modal fusion network with complementarity and importance for emotion recognition. Inf. Sci. 619: 679-694 (2023)
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Rong Jiang, Shanshan Han, Yimin Yu, Weiping Ding:
An access control model for medical big data based on clustering and risk. Inf. Sci. 621: 691-707 (2023)
[j218]
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Sarah Qahtan, Hassan A. AlSattar, A. A. Zaidan, Muhammet Deveci, Dragan Pamucar, Weiping Ding:
A novel fuel supply system modelling approach for electric vehicles under Pythagorean probabilistic hesitant fuzzy sets. Inf. Sci. 622: 1014-1032 (2023)
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz:
MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT. Inf. Sci. 623: 20-39 (2023)
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Gholamreza Haseli, Ramin Ranjbarzadeh, Mostafa Hajiaghaei-Keshteli, Saeid Jafarzadeh Ghoushchi, Aliakbar Hasani, Muhammet Deveci, Weiping Ding:
HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks. Inf. Sci. 623: 184-205 (2023)
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K. Venkatachalam, Zaoli Yang, Pavel Trojovský, Nebojsa Bacanin, Muhammet Deveci, Weiping Ding:
Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers. Inf. Sci. 628: 542-557 (2023)
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Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu, Hongwei Liu, Weiping Ding, Ruiguo Yu:
A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning. Inf. Sci. 629: 169-183 (2023)
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Sara Abdel-Razek, Chuansheng Liu:
Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things. Inf. Sci. 630: 403-419 (2023)
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Weiping Ding, Mohamed Abdel-Basset, Reda Mohamed:
DeepAK-IoT: An effective deep learning model for cyberattack detection in IoT networks. Inf. Sci. 634: 157-171 (2023)
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Yinxin Bao, Jiali Liu, Qinqin Shen, Yang Cao, Weiping Ding, Quan Shi:
PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction. Inf. Sci. 634: 359-381 (2023)
[j210]
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Chenglong Zhu, Xueling Ma, Chao Zhang, Weiping Ding, Jianming Zhan:
Information granules-based long-term forecasting of time series via BPNN under three-way decision framework. Inf. Sci. 634: 696-715 (2023)
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Tengbiao Li, Junsheng Qiao, Weiping Ding:
Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information. Inf. Sci. 638: 118959 (2023)
[j208]
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Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-guided learning for continual environments. Inf. Sci. 640: 119088 (2023)
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Weiping Ding, Jun Liu, Chin-Teng Lin, Dariusz Mrozek:
Special issue on Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data. Inf. Sci. 642: 118997 (2023)
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Rongtao Zhang, Xueling Ma, Weiping Ding, Jianming Zhan:
MAP-FCRNN: Multi-step ahead prediction model using forecasting correction and RNN model with memory functions. Inf. Sci. 646: 119382 (2023)
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Weiping Ding, Mohamed Abdel-Basset, Reda Mohamed:
HAR-DeepConvLG: Hybrid deep learning-based model for human activity recognition in IoT applications. Inf. Sci. 646: 119394 (2023)
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Zhuoxin He, Yaojin Lin, Chenxi Wang, Lei Guo, Weiping Ding:
Multi-label feature selection based on correlation label enhancement. Inf. Sci. 647: 119526 (2023)
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Hassan A. AlSattar, Sarah Qahtan, Nahia Mourad, A. A. Zaidan, Muhammet Deveci, Chiranjibe Jana, Weiping Ding:
Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for developing sustainable smart living framework. Inf. Sci. 649: 119681 (2023)
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Wenbin Qian, Fankang Xu, Jin Qian, Wenhao Shu, Weiping Ding:
Multi-label feature selection based on rough granular-ball and label distribution. Inf. Sci. 650: 119698 (2023)
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Yingbai Hu, Xu Wang, Yueyue Liu, Weiping Ding, Alois Knoll:
PI-ELM: Reinforcement learning-based adaptable policy improvement for dynamical system. Inf. Sci. 650: 119700 (2023)
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Shradha Verma, Tripti Goel, Muhammad Tanveer, Weiping Ding, Rahul Sharma, R. Murugan:
Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions. J. Ambient Intell. Humaniz. Comput. 14(5): 4795-4807 (2023)
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Rong Jiang, Xue Chen, Yimin Yu, Ying Zhang, Weiping Ding:
Risk and UCON-based access control model for healthcare big data. J. Big Data 10(1): 104 (2023)
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Xiangbin Liu, Shufen Hou, Shuai Liu, Weiping Ding, Yudong Zhang:
Attention-based multimodal glioma segmentation with multi-attention layers for small-intensity dissimilarity. J. King Saud Univ. Comput. Inf. Sci. 35(4): 183-195 (2023)
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Yuanpeng Zhang, Weiping Ding:
Motor imagery classification via stacking-based Takagi-Sugeno-Kang fuzzy classifier ensemble. Knowl. Based Syst. 263: 110292 (2023)
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Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, Dianhui Chu:
A Diabetes Prediction System Based on Incomplete Fused Data Sources. Mach. Learn. Knowl. Extr. 5(2): 384-399 (2023)
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Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhen-Quan Shi, Weiping Ding, Daoqiang Zhang:
SD-CNN: A static-dynamic convolutional neural network for functional brain networks. Medical Image Anal. 83: 102679 (2023)
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Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, Huili Meng:
TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm. Int. J. Mach. Learn. Cybern. 14(2): 609-631 (2023)
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Jianying Chen, Yun Xue, Haolan Zhang, Weiping Ding, Zhengxuan Zhang, Jiehai Chen:
On development of multimodal named entity recognition using part-of-speech and mixture of experts. Int. J. Mach. Learn. Cybern. 14(6): 2181-2192 (2023)
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Deepak Kumar Jain, Weiping Ding, Ketan Kotecha:
Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment. Int. J. Mach. Learn. Cybern. 14(6): 2221-2237 (2023)
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Zhengxin Song, Yun Xue, Donghong Gu, Haolan Zhang, Weiping Ding:
Target-oriented multimodal sentiment classification by using topic model and gating mechanism. Int. J. Mach. Learn. Cybern. 14(7): 2289-2299 (2023)
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Changzhong Wang, Xiang Lv, Xiaodong Fan, Weiping Ding, Xiaoli Jiang:
Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment. Int. J. Mach. Learn. Cybern. 14(7): 2421-2437 (2023)
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Lin Sun, Shanshan Si, Weiping Ding, Jiucheng Xu, Yan Zhang:
BSSFS: binary sparrow search algorithm for feature selection. Int. J. Mach. Learn. Cybern. 14(8): 2633-2657 (2023)
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Lin Sun, Shujing Sun, Weiping Ding, Xinyue Huang, Peiyi Fan, Kunyu Li, Leqi Chen:
Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data. Int. J. Mach. Learn. Cybern. 14(12): 4339-4360 (2023)
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Priti Bansal, Vincenzo Piuri, Vasile Palade, Weiping Ding:
Deep learning in multimodal medical imaging for cancer detection. Neural Comput. Appl. 35(30): 22069-22070 (2023)
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Sankhadeep Chatterjee, Soumyajit Maity, Mayukh Bhattacharjee, Soumen Banerjee, Asit Kumar Das, Weiping Ding:
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images. New Gener. Comput. 41(1): 25-60 (2023)
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Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: Special Issue on Transfer Learning. Neural Process. Lett. 55(3): 1997-2000 (2023)
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Weiping Ding, Zhihao Feng, Javier Andreu-Perez, Witold Pedrycz:
Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering. Neural Process. Lett. 55(3): 2023-2047 (2023)
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Eric Ke Wang, Zicong Chen, Xilin Dang, Xuan Fan, Xuming Han, Chien-Ming Chen, Weiping Ding, Siu-Ming Yiu, Jian Weng:
Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation. Pattern Recognit. 143: 109745 (2023)
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Jianghui Sang, Yongli Wang, Weiping Ding, Zaki Ahmadkhan, Lin Xu:
Reward shaping with hierarchical graph topology. Pattern Recognit. 143: 109746 (2023)
[j181]
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Anubha Parashar, Apoorva Parashar, Weiping Ding, Mohammad Shabaz, Imad Rida:
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches. Pattern Recognit. Lett. 172: 65-73 (2023)
[j180]
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Marek Moleda, Bozena Malysiak-Mrozek, Weiping Ding, Vaidy S. Sunderam, Dariusz Mrozek:
From Corrective to Predictive Maintenance - A Review of Maintenance Approaches for the Power Industry. Sensors 23(13): 5970 (2023)
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Weihua Xu, Yanzhou Pan, Xiuwei Chen, Weiping Ding, Yuhua Qian:
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. IEEE Trans. Big Data 9(3): 845-859 (2023)
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Pengcheng Zhu, Weiping Ding, Lihua Wei, Xueyun Cheng, Zhijin Guan, Shiguang Feng:
A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-Agent Cooperation. IEEE Trans. Computers 72(8): 2237-2249 (2023)
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Osama M. Elkomy:
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans. IEEE Trans. Cybern. 53(2): 1285-1298 (2023)
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Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz:
Amer: A New Attribute-Missing Network Embedding Approach. IEEE Trans. Cybern. 53(7): 4306-4319 (2023)
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Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding:
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 76-88 (2023)
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Jing He, Lei Shen, Yudong Yao, Huaxia Wang, Guodong Zhao, Xiaowei Gu, Weiping Ding:
Finger Vein Image Deblurring Using Neighbors-Based Binary-GAN (NB-GAN). IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 295-307 (2023)
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Guojin Zhong, Weiping Ding, Long Chen, Yingxu Wang, Yu-Feng Yu:
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1113-1125 (2023)
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Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang:
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1377-1393 (2023)
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Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai:
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1636-1650 (2023)
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Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, Jixiang Du:
Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels. IEEE Trans. Fuzzy Syst. 31(1): 77-91 (2023)
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Qiong Chen, Weiping Ding, Xiaomeng Huang, Hao Wang:
Generalized Interval Type-II Fuzzy Rough Model-Based Feature Discretization for Mixed Pixels. IEEE Trans. Fuzzy Syst. 31(3): 845-859 (2023)
[j168]
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Weihua Xu, Doudou Guo, Yuhua Qian, Weiping Ding:
Two-Way Concept-Cognitive Learning Method: A Fuzzy-Based Progressive Learning. IEEE Trans. Fuzzy Syst. 31(6): 1885-1899 (2023)
[j167]
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Wentao Li, Shichao Zhai, Weihua Xu, Witold Pedrycz, Yuhua Qian, Weiping Ding, Tao Zhan:
Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity. IEEE Trans. Fuzzy Syst. 31(7): 2112-2126 (2023)
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Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu:
Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine. IEEE Trans. Fuzzy Syst. 31(7): 2277-2291 (2023)
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Wanli Huang, Yanhong She, Xiaoli He, Weiping Ding:
Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification. IEEE Trans. Fuzzy Syst. 31(10): 3721-3733 (2023)
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Zhaoyin Shi, Long Chen, Weiping Ding, Chuanbin Zhang, Yingxu Wang:
Parameter-Free Robust Ensemble Framework of Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 31(12): 4205-4219 (2023)
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Yang Zhang, Yu-Feng Yu, Long Chen, Weiping Ding:
Robust Correlation Filter Learning With Continuously Weighted Dynamic Response for UAV Visual Tracking. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)
[j162]
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Ripon K. Chakrabortty, Mohammad Humyun Fuad Rahman, Weiping Ding:
Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0. IEEE Trans. Ind. Informatics 19(3): 3296-3299 (2023)
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Zuowei Zhang, Songtao Ye, Zechao Liu, Hao Wang, Weiping Ding:
Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(8): 3770-3781 (2023)
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Wentao Liu, Xiaolong Xu, Lianxiang Wu, Lianyong Qi, Alireza Jolfaei, Weiping Ding, Mohammad Reza Khosravi:
Intrusion Detection for Maritime Transportation Systems With Batch Federated Aggregation. IEEE Trans. Intell. Transp. Syst. 24(2): 2503-2514 (2023)
[j159]
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Xudong He, Jian Wang, Jiqiang Liu, Weiping Ding, Zhen Han, Bin Wang, Jamel Nebhen, Wei Wang:
DNS Rebinding Threat Modeling and Security Analysis for Local Area Network of Maritime Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(2): 2643-2655 (2023)
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Qiong Chen, Liangru Xie, Lirong Zeng, Sining Jiang, Weiping Ding, Xiaomeng Huang, Hao Wang:
Neighborhood Rough Residual Network-Based Outlier Detection Method in IoT-Enabled Maritime Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(11): 11800-11811 (2023)
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Weihua Xu, Doudou Guo, Jusheng Mi, Yuhua Qian, Keyin Zheng, Weiping Ding:
Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6798-6812 (2023)
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Xining Zhuji, Jiehua Wang, Weiping Ding, Weixiang Wu:
Blockchain-Based System for Vaccine Traceability. ICDM (Workshops) 2023: 706-715
[c11]
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Xuewei Li, Guanrong He, Jian Yu, Zhiqiang Liu, Mei Yu, Wei-Ping Ding, Wei Xiong:
An Ultra-short-Term Wind Speed Prediction Method Based on Spatio-Temporal Feature Decomposition and Multi Feature Fusion Network. ICIC (5) 2023: 469-481
[i25]
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Xiangning Xie, Xiaotian Song, Zeqiong Lv, Gary G. Yen, Weiping Ding, Yanan Sun:
Efficient Evaluation Methods for Neural Architecture Search: A Survey. CoRR abs/2301.05919 (2023)
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Shradha Verma, Tripti Goel, Muhammad Tanveer, Weiping Ding, Rahul Sharma, R. Murugan:
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions. CoRR abs/2301.07496 (2023)
[i23]
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Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR abs/2301.10171 (2023)
[i22]
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Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023)
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Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-Guided Learning for Continual Environments. CoRR abs/2303.11624 (2023)
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Qin Xie, Qinghua Zhang, Shuyin Xia, Fan Zhao, Chengying Wu, Guoyin Wang, Weiping Ding:
GBG++: A Fast and Stable Granular Ball Generation Method for Classification. CoRR abs/2305.18450 (2023)
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Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A Survey on Fairness-aware Recommender Systems. CoRR abs/2306.00403 (2023)
[i18]
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Shiming Chen, Shihuang Chen, Wenjin Hou, Weiping Ding, Xinge You:
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning. CoRR abs/2308.09915 (2023)
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Ailing Xiao, Ning Chen, Sheng Wu, Shigen Shen, Weiping Ding, Peiying Zhang:
DNFS-VNE: Deep Neuro-Fuzzy System-Driven Virtual Network Embedding Algorithm. CoRR abs/2310.09078 (2023)
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Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao:
Survey on deep learning in multimodal medical imaging for cancer detection. CoRR abs/2312.01573 (2023)
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Runwei Guan, Haocheng Zhao, Shanliang Yao, Ka Lok Man, Xiaohui Zhu, Limin Yu, Yong Yue, Jeremy S. Smith, Eng Gee Lim, Weiping Ding, Yutao Yue:
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities. CoRR abs/2312.08851 (2023)
2022
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Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding:
Deep Learning Techniques for IoT Security and Privacy. Studies in Computational Intelligence 997, Springer 2022, ISBN 978-3-030-89024-7, pp. 1-257
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Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou:
RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph. IEEE Access 10: 85582-85594 (2022)
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Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Anthony Miller, Lu Liu, Weiping Ding:
A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks. IEEE Access 10: 118141-118155 (2022)
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Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: special issue on multi-view learning. Appl. Intell. 52(13): 14591-14594 (2022)
[j153]
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Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang:
Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information. Appl. Intell. 52(13): 14693-14710 (2022)
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Zhe Wang, Fuyuan Xiao, Weiping Ding:
Interval-valued intuitionistic fuzzy jenson-shannon divergence and its application in multi-attribute decision making. Appl. Intell. 52(14): 16168-16184 (2022)
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Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu:
Mixed measure-based feature selection using the Fisher score and neighborhood rough sets. Appl. Intell. 52(15): 17264-17288 (2022)
[j150]
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Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Appl. Soft Comput. 116: 108291 (2022)
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Christian Flores Vega, Jonathan Quevedo, Elmer Escandón, Mehrin Kiani, Weiping Ding, Javier Andreu-Perez:
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction. Appl. Soft Comput. 117: 108359 (2022)
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Qinting Jiang, Xuanhong Zhou, Ruili Wang, Weiping Ding, Yi Chu, Sizhe Tang, Xiaoyun Jia, Xiaolong Xu:
Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey. Appl. Soft Comput. 123: 108835 (2022)
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Felin Wilta, Allyson Li Chen Chong, Ganeshsree Selvachandran, Ketan Kotecha, Weiping Ding:
Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemic. Appl. Soft Comput. 123: 108973 (2022)
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Yufei Chen, Chang Xu, Weiping Ding, Shichen Sun, Xiaodong Yue, Hamido Fujita:
Target-aware U-Net with fuzzy skip connections for refined pancreas segmentation. Appl. Soft Comput. 131: 109818 (2022)
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Dixizi Liu, Weiping Ding, Zhijie Sasha Dong, Witold Pedrycz:
Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread. Comput. Ind. Eng. 166: 107970 (2022)
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Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding, Guoting Chen:
On-shelf utility mining from transaction database. Eng. Appl. Artif. Intell. 107: 104516 (2022)
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Zuowei Zhang, Songtao Ye, Yiru Zhang, Weiping Ding, Hao Wang:
Belief Combination of Classifiers for Incomplete Data. IEEE CAA J. Autom. Sinica 9(4): 652-667 (2022)
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Diego García-Zamora, Álvaro Labella, Weiping Ding, Rosa M. Rodríguez, Luis Martínez:
Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis. IEEE CAA J. Autom. Sinica 9(6): 949-966 (2022)
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Shuwen Wang, Xingquan Zhu, Weiping Ding, Amir Alipour Yengejeh:
Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View. IEEE CAA J. Autom. Sinica 9(8): 1384-1405 (2022)
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Linyao Yang, Chen Lv, Xiao Wang, Ji Qiao, Weiping Ding, Jun Zhang, Fei-Yue Wang:
Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs. IEEE CAA J. Autom. Sinica 9(11): 1990-2004 (2022)
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Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz:
An error correction prediction model based on three-way decision and ensemble learning. Int. J. Approx. Reason. 146: 21-46 (2022)
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Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Anhui Tan:
Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels. Int. J. Intell. Syst. 37(10): 6773-6810 (2022)
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Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu:
Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy. Neurocomputing 473: 159-181 (2022)
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Anubha Parashar, Rajveer Singh Shekhawat, Weiping Ding, Imad Rida:
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods. Neurocomputing 505: 315-338 (2022)
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Weiping Zhang, Mohit Kumar, Weiping Ding, Xiujuan Li, Junfeng Yu:
Variational learning of deep fuzzy theoretic nonparametric model. Neurocomputing 506: 128-145 (2022)
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Kun Zhu, Shi Ying, Weiping Ding, Nana Zhang, Dandan Zhu:
IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learning. Inf. Sci. 583: 332-363 (2022)
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Jin Ye, Jianming Zhan, Weiping Ding, Hamido Fujita:
A novel three-way decision approach in decision information systems. Inf. Sci. 584: 1-30 (2022)
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Kehua Yuan, Weihua Xu, Wentao Li, Weiping Ding:
An incremental learning mechanism for object classification based on progressive fuzzy three-way concept. Inf. Sci. 584: 127-147 (2022)
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Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu:
Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors. Inf. Sci. 593: 591-613 (2022)
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa:
Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication. Inf. Sci. 597: 144-165 (2022)
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Beijing Chen, Tianmu Li, Weiping Ding:
Detecting deepfake videos based on spatiotemporal attention and convolutional LSTM. Inf. Sci. 601: 58-70 (2022)
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Supriyo Ahmed, Ripon K. Chakrabortty, Daryl Essam, Weiping Ding:
Poly-linear regression with augmented long short term memory neural network: Predicting time series data. Inf. Sci. 606: 573-600 (2022)
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Ying Li, Binbin Fan, Weiping Ding, Weiping Zhang, Jianwei Yin:
A novel severity calibration algorithm for defect detection by constructing maps. Inf. Sci. 607: 1600-1616 (2022)
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Xiaoyan Zhang, Xiuwei Chen, Weihua Xu, Weiping Ding:
Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes. Inf. Sci. 608: 1-27 (2022)
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Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li:
Parallel incremental efficient attribute reduction algorithm based on attribute tree. Inf. Sci. 610: 1102-1121 (2022)
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Lin Sun, Mengmeng Li, Weiping Ding, En Zhang, Xiaoxia Mu, Jiucheng Xu:
AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data. Inf. Sci. 612: 724-744 (2022)
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Hengrong Ju, Weiping Ding, Zhen-Quan Shi, Jiashuang Huang, Jie Yang, Xibei Yang:
Attribute reduction with personalized information granularity of nearest mutual neighbors. Inf. Sci. 613: 114-138 (2022)
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Lei Dai, Liming Zhang, Zehua Chen, Weiping Ding:
Collaborative granular sieving: A deterministic multievolutionary algorithm for multimodal optimization problems. Inf. Sci. 613: 288-308 (2022)
[j121]
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Ahmed M. Ali:
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey. Inf. Sci. 615: 238-292 (2022)
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Renyan Feng, Erman Acar, Yisong Wang, Wanwei Liu, Stefan Schlobach, Weiping Ding:
Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach. Inf. Sci. 616: 474-504 (2022)
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Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu:
TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification. Knowl. Based Syst. 256: 109849 (2022)
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Jiandong Kuang, Mingwen Shao, Ran Wang, Wangmeng Zuo, Weiping Ding:
Network pruning via probing the importance of filters. Int. J. Mach. Learn. Cybern. 13(9): 2403-2414 (2022)
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Changzhong Wang, Xiang Lv, Weiping Ding, Xiaodong Fan:
No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism. Soft Comput. 26(24): 13449-13465 (2022)
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Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang:
Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. IEEE Trans. Artif. Intell. 3(2): 297-308 (2022)
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Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly, Weiping Ding:
A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject-Specific Tasks. IEEE Trans. Cogn. Dev. Syst. 14(2): 375-387 (2022)
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Weiping Ding, Yurui Ming, Zehong Cao, Chin-Teng Lin:
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 613-627 (2022)
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Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Naveed ur Rehman, Weiping Ding, Gaoxi Xiao:
Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1177-1189 (2022)
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Cuiping Cheng, Weiping Ding, Fuyuan Xiao, Witold Pedrycz:
A Majority Rule-Based Measure for Atanassov-Type Intuitionistic Membership Grades in MCDM. IEEE Trans. Fuzzy Syst. 30(1): 121-132 (2022)
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz:
Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning. IEEE Trans. Fuzzy Syst. 30(4): 1088-1101 (2022)
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Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy. IEEE Trans. Fuzzy Syst. 30(5): 1197-1211 (2022)
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Bozena Malysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz, Weiping Ding, Dariusz Mrozek:
High-Efficient Fuzzy Querying With HiveQL for Big Data Warehousing. IEEE Trans. Fuzzy Syst. 30(6): 1823-1837 (2022)
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Jianming Zhan, Jin Ye, Weiping Ding, Peide Liu:
A Novel Three-Way Decision Model Based on Utility Theory in Incomplete Fuzzy Decision Systems. IEEE Trans. Fuzzy Syst. 30(7): 2210-2226 (2022)
[j107]
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Jinkun Chen, Yaojin Lin, Jusheng Mi, Shaozi Li, Weiping Ding:
A Spectral Feature Selection Approach With Kernelized Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 30(8): 2886-2901 (2022)
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Weiping Ding, Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Janmenjoy Nayak, Asit Kumar Das, Soumen Banerjee:
An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images. IEEE Trans. Fuzzy Syst. 30(8): 2902-2914 (2022)
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Changzhong Wang, Yuhua Qian, Weiping Ding, Xiaodong Fan:
Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion. IEEE Trans. Fuzzy Syst. 30(8): 2930-2942 (2022)
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Fang-Qi Li, Ruijie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding:
Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers. IEEE Trans. Fuzzy Syst. 30(11): 4605-4617 (2022)
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Jerry Chun-Wei Lin, Nachiketa Sahoo, Gautam Srivastava, Weiping Ding:
Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1. ACM Trans. Manag. Inf. Syst. 13(1): 1:1-1:3 (2022)
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Jerry Chun-Wei Lin, Nachiketa Sahoo, Gautam Srivastava, Weiping Ding:
Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part II. ACM Trans. Manag. Inf. Syst. 13(3): 23:1-23:3 (2022)
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Peng Ping, Weiping Ding, Yongkang Liu, Kazuya Takeda:
An enhanced driver's risk perception modeling based on gate recurrent unit network. IV 2022: 1234-1240
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Khan Muhammad, Tanveer Hussain, Javier Del Ser, Weiping Ding, Amir H. Gandomi, Victor Hugo C. de Albuquerque:
Efficient Video Summarization for Smart Surveillance Systems. SSCI 2022: 672-677
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Ajith Abraham, Niketa Gandhi, Thomas Hanne, Tzung-Pei Hong, Tatiane Nogueira Rios, Weiping Ding:
Intelligent Systems Design and Applications - 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021) Held During December 13-15, 2021. Lecture Notes in Networks and Systems 418, Springer 2022, ISBN 978-3-030-96307-1 [contents]
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Christian Flores Vega, Jonathan Quevedo, Elmer Escandón, Mehrin Kiani, Weiping Ding, Javier Andreu-Perez:
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction. CoRR abs/2204.04338 (2022)
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Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque:
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. CoRR abs/2204.06635 (2022)
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Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi:
FedTP: Federated Learning by Transformer Personalization. CoRR abs/2211.01572 (2022)
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Zhongyu Fang, Aoyun He, Qihui Yu, Baopeng Gao, Weiping Ding, Tong Zhang, Lei Ma:
FAF: A novel multimodal emotion recognition approach integrating face, body and text. CoRR abs/2211.15425 (2022)
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Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, Weiping Ding:
Internet of Behaviors: A Survey. CoRR abs/2211.15588 (2022)
2021
[j101]
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Weiping Ding, Yi Zhang, Ying Sun, Tingzhen Qin:
An Improved SFLA-Kmeans Algorithm Based on Approximate Backbone and Its Application in Retinal Fundus Image. IEEE Access 9: 72259-72268 (2021)
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Yintong Wang, Yingjie Yang, Weiping Ding, Shuo Li:
A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks. IEEE Access 9: 132301-132310 (2021)
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Mohamed Abdel-Basset, Weiping Ding, Doaa El-Shahat:
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection. Artif. Intell. Rev. 54(1): 593-637 (2021)
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Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, B. Kameswara Rao, Weiping Ding, Danilo Pelusi:
Intelligent system for COVID-19 prognosis: a state-of-the-art survey. Appl. Intell. 51(5): 2908-2938 (2021)
[j97]
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Amin Ullah, Khan Muhammad, Weiping Ding, Vasile Palade, Ijaz Ul Haq, Sung Wook Baik:
Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications. Appl. Soft Comput. 103: 107102 (2021)
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Chirantana Mallick, Asit Kumar Das, Weiping Ding, Janmenjoy Nayak:
Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms. Appl. Soft Comput. 106: 107347 (2021)
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Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu:
Robust supervised rough granular description model with the principle of justifiable granularity. Appl. Soft Comput. 110: 107612 (2021)
[j94]
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Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee:
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. 94: 102008 (2021)
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Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen:
Selection strategy in graph-based spreading dynamics with limited capacity. Future Gener. Comput. Syst. 114: 307-317 (2021)
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Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, Danilo Pelusi:
Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data. Neurocomputing 457: 40-66 (2021)
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Shuai Liu, Dongye Liu, Khan Muhammad, Weiping Ding:
Effective template update mechanism in visual tracking with background clutter. Neurocomputing 458: 615-625 (2021)
[j90]
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Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding:
Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization. Neurocomputing 459: 465-480 (2021)
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Weiping Ding, Yurui Ming, Yu-Kai Wang, Chin-Teng Lin:
Memory augmented convolutional neural network and its application in bioimages. Neurocomputing 466: 128-138 (2021)
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Jin Ye, Jianming Zhan, Weiping Ding, Hamido Fujita:
A novel fuzzy rough set model with fuzzy neighborhood operators. Inf. Sci. 544: 266-297 (2021)
[j87]
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Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding:
Discovering high utility-occupancy patterns from uncertain data. Inf. Sci. 546: 1208-1229 (2021)
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Changzhong Wang, Yang Huang, Weiping Ding, Zehong Cao:
Attribute reduction with fuzzy rough self-information measures. Inf. Sci. 549: 68-86 (2021)
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Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding:
Incremental classifier in crime prediction using bi-objective Particle Swarm Optimization. Inf. Sci. 562: 279-303 (2021)
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Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu:
WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation. Inf. Sci. 570: 545-576 (2021)
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Beijing Chen, Xingwang Ju, Bin Xiao, Weiping Ding, Yuhui Zheng, Victor Hugo C. de Albuquerque:
Locally GAN-generated face detection based on an improved Xception. Inf. Sci. 572: 16-28 (2021)
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Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Yuxiao Huang:
A network embedding-enhanced Bayesian model for generalized community detection in complex networks. Inf. Sci. 575: 306-322 (2021)
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Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash:
RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions. Inf. Sci. 578: 559-573 (2021)
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Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin:
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification. Inf. Sci. 578: 887-912 (2021)
[j79]
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Ying Li, Binbin Fan, Weiping Zhang, Weiping Ding, Jianwei Yin:
Deep active learning for object detection. Inf. Sci. 579: 418-433 (2021)
[j78]
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Xiuyi Jia, Tao Wen, Weiping Ding, Huaxiong Li, Weiwei Li:
Semi-supervised label distribution learning via projection graph embedding. Inf. Sci. 581: 840-855 (2021)
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Tao Yin, Xiaojuan Mao, Xingtan Wu, Hengrong Ju, Weiping Ding, Xibei Yang:
An improved D-S evidence theory based neighborhood rough classification approach. J. Intell. Fuzzy Syst. 41(6): 6601-6613 (2021)
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Linyao Yang, Xiao Wang, Yuxin Dai, Kejun Xin, Xiaolong Zheng, Weiping Ding, Jun Zhang, Fei-Yue Wang:
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning. Knowl. Based Syst. 233: 107498 (2021)
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Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang:
Density peaks clustering based on k-nearest neighbors and self-recommendation. Int. J. Mach. Learn. Cybern. 12(7): 1913-1938 (2021)
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Tanveer Hussain, Khan Muhammad, Weiping Ding, Jaime Lloret, Sung Wook Baik, Victor Hugo C. de Albuquerque:
A comprehensive survey of multi-view video summarization. Pattern Recognit. 109: 107567 (2021)
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Mahdi Alinaghian, Erfan Babaee Tirkolaee, Zahra Kaviani Dezaki, Seyed Reza Hejazi, Weiping Ding:
An augmented Tabu search algorithm for the green inventory-routing problem with time windows. Swarm Evol. Comput. 60: 100802 (2021)
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Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly, Weiping Ding:
Toward the Development of Versatile Brain-Computer Interfaces. IEEE Trans. Artif. Intell. 2(4): 314-328 (2021)
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Weiping Ding, Mohamed Abdel-Basset, Khalid A. Eldrandaly, Laila Abdel-Fatah, Victor Hugo C. de Albuquerque:
Smart Supervision of Cardiomyopathy Based on Fuzzy Harris Hawks Optimizer and Wearable Sensing Data Optimization: A New Model. IEEE Trans. Cybern. 51(10): 4944-4958 (2021)
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Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue:
Guest Editorial Evolutionary Computation Meets Deep Learning. IEEE Trans. Evol. Comput. 25(5): 810-814 (2021)
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Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang:
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. IEEE Trans. Evol. Comput. 25(5): 883-893 (2021)
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Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network. IEEE Trans. Evol. Comput. 25(5): 986-1000 (2021)
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Weiping Ding, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo:
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 2-5 (2021)
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Ye Shi, Chin-Teng Lin, Yu-Cheng Chang, Weiping Ding, Yuhui Shi, Xin Yao:
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 29-41 (2021)
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Weiping Ding, Isaac Triguero, Chin-Teng Lin:
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 130-142 (2021)
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Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets. IEEE Trans. Fuzzy Syst. 29(1): 19-33 (2021)
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Ganeshsree Selvachandran, Shio Gai Quek, Luong Thi Hong Lan, Le Hoang Son, Long Giang Nguyen, Weiping Ding, Mohamed Abdel-Basset, Victor Hugo C. de Albuquerque:
A New Design of Mamdani Complex Fuzzy Inference System for Multiattribute Decision Making Problems. IEEE Trans. Fuzzy Syst. 29(4): 716-730 (2021)
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Liming Fang, Xinyu Yun, Changchun Yin, Weiping Ding, Lu Zhou, Zhe Liu, Chunhua Su:
ANCS: Automatic NXDomain Classification System Based on Incremental Fuzzy Rough Sets Machine Learning. IEEE Trans. Fuzzy Syst. 29(4): 742-756 (2021)
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Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin:
Multigranulation Supertrust Model for Attribute Reduction. IEEE Trans. Fuzzy Syst. 29(6): 1395-1408 (2021)
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Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, Gongshen Liu:
Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest. IEEE Trans. Fuzzy Syst. 29(11): 3205-3218 (2021)
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Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, Han-Chieh Chao:
Explainable Fuzzy Utility Mining on Sequences. IEEE Trans. Fuzzy Syst. 29(12): 3620-3634 (2021)
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Weiping Ding, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Manohar Mishra:
Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment. IEEE Trans. Ind. Informatics 17(6): 4298-4307 (2021)
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Muhammad Sajjad, Muhammad Irfan, Khan Muhammad, Javier Del Ser, Javier J. Sánchez Medina, Sergey Andreev, Weiping Ding, Jong Weon Lee:
An Efficient and Scalable Simulation Model for Autonomous Vehicles With Economical Hardware. IEEE Trans. Intell. Transp. Syst. 22(3): 1718-1732 (2021)
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Chongsheng Zhang, Weiping Ding, Guowen Peng, Feifei Fu, Wei Wang:
Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 22(7): 4727-4743 (2021)
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Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Weiping Ding, Chin-Teng Lin, Mukesh Prasad:
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3080-3092 (2021)
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Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding:
Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction. DTPI 2021: 434-437
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Zhihao Feng, Weiping Ding, Jinxin Cao, Chudi Sun, Xinjie Shen, Haipeng Wang:
Adaptive FCM Clustering Algorithm Based On Twin Multiple Population Genetic Evolution. DTPI 2021: 438-441
[i9]
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Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, Han-Chieh Chao:
Explainable Fuzzy Utility Mining on Sequences. CoRR abs/2103.16519 (2021)
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Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee:
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR abs/2104.04006 (2021)
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Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad:
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. CoRR abs/2111.08154 (2021)
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Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. CoRR abs/2112.04984 (2021)
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Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang:
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information. CoRR abs/2112.05758 (2021)
2020
[j54]
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Weiping Ding, Ying Sun, Longjie Ren, Hengrong Ju, Zhihao Feng, Ming Li:
Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA. IEEE Access 8: 97618-97631 (2020)
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Tao Yin, Xiaojuan Mao, Ying Zhang, Yiting Ma, Hengrong Ju, Weiping Ding:
Decision-Theoretic Rough Set: A Fusion Strategy. IEEE Access 8: 221027-221038 (2020)
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Ghazaala Yasmin, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding:
Graph based feature selection investigating boundary region of rough set for language identification. Expert Syst. Appl. 158: 113575 (2020)
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Chin-Teng Lin, Jung-Tai King, Chun-Hsiang Chuang, Weiping Ding, Wei-Yu Chuang, Lun-De Liao, Yu-Kai Wang:
Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements. Int. J. Neural Syst. 30(1): 1950018:1-1950018:12 (2020)
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Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, Chin-Teng Lin:
Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy. Neurocomputing 389: 198-206 (2020)
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Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad:
A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing 389: 207-217 (2020)
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Mohamed Abdel-Basset, Weiping Ding, Laila Abdel-Fatah:
The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model. Inf. Fusion 61: 84-100 (2020)
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Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, Wenjian Luo:
Current trends of granular data mining for biomedical data analysis. Inf. Sci. 510: 341-343 (2020)
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Wenjian Luo, Nannan Lu, Li Ni, Wenjie Zhu, Weiping Ding:
Local community detection by the nearest nodes with greater centrality. Inf. Sci. 517: 377-392 (2020)
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Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems. Inf. Sci. 537: 401-424 (2020)
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Visvam Devadoss Ambeth Kumar, S. Malathi, R. Venkatesan, K. Ramalakshmi, K. Vengatesan, Weiping Ding, Abhishek Kumar:
Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition. J. Intell. Fuzzy Syst. 38(2): 2181-2196 (2020)
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Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems. Knowl. Based Syst. 192: 105373 (2020)
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Weiping Ding, Jiandong Wang, Jiehua Wang:
Multigranulation consensus fuzzy-rough based attribute reduction. Knowl. Based Syst. 198: 105945 (2020)
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Qi Li, Zehong Cao, Weiping Ding, Qing Li:
A multi-objective adaptive evolutionary algorithm to extract communities in networks. Swarm Evol. Comput. 52 (2020)
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Weiping Ding, Gary G. Yen, Xinye Cai, Zehong Cao:
Foreword: Evolutionary data mining for big data. Swarm Evol. Comput. 57: 100738 (2020)
[j39]
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Weiping Ding, Chin-Teng Lin, Witold Pedrycz:
Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce. IEEE Trans. Cybern. 50(2): 425-439 (2020)
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Weiping Ding, Witold Pedrycz, Chin-Teng Lin:
Guest Editorial for the Special Issue on Fuzzy Rough Sets for Big Data. IEEE Trans. Fuzzy Syst. 28(5): 803-805 (2020)
[j37]
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Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding:
Fusing Fuzzy Monotonic Decision Trees. IEEE Trans. Fuzzy Syst. 28(5): 887-900 (2020)
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Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque:
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE Trans. Fuzzy Syst. 28(12): 3076-3086 (2020)
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Junqin Huang, Linghe Kong, Hong-Ning Dai, Weiping Ding, Long Cheng, Guihai Chen, Xi Jin, Peng Zeng:
Blockchain-Based Mobile Crowd Sensing in Industrial Systems. IEEE Trans. Ind. Informatics 16(10): 6553-6563 (2020)
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Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, Zehong Cao:
Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 34:1-34:12 (2020)
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Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding, Guoting Chen:
OSUMI: On-Shelf Utility Mining from Itemset-based Data. IEEE BigData 2020: 5340-5349
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Jing He, Jinjun Chen, Guangyan Huang, Mengjiao Guo, Zhiwang Zhang, Hui Zheng, Yunyao Li, Ruchuan Wang, Weibei Fan, Chi-Hung Chi, Weiping Ding, Paulo A. de Souza, Bin Chen, Run-Wei Li, Jie Shang, André Van Zundert:
A Fuzzy Theory Based Topological Distance Measurement for Undirected Multigraphs. FUZZ-IEEE 2020: 1-10
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Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding:
UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data. SMC 2020: 3066-3071
[i4]
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Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin:
A General Approach for Using Deep Neural Network for Digital Watermarking. CoRR abs/2003.12428 (2020)
[i3]
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  - journals/corr/abs-2008-08190
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Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding:
Discovering High Utility-Occupancy Patterns from Uncertain Data. CoRR abs/2008.08190 (2020)
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Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network. CoRR abs/2008.09388 (2020)

2010 – 2019

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2019
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Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li:
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access 7: 47682-47686 (2019)
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Chin-Teng Lin, Jung-Tai King, Priyanka Bharadwaj, Chih-Hao Chen, Akshansh Gupta, Weiping Ding, Mukesh Prasad:
EOG-Based Eye Movement Classification and Application on HCI Baseball Game. IEEE Access 7: 96166-96176 (2019)
[j31]
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Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding:
A Graph Based Clustering Approach for Relation Extraction From Crime Data. IEEE Access 7: 101269-101282 (2019)
[j30]
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Weiping Ding:
SVM-Based Feature Selection for Differential Space Fusion and Its Application to Diabetic Fundus Image Classification. IEEE Access 7: 149493-149502 (2019)
[j29]
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Lin Sun, Tengyu Yin, Weiping Ding, Jiucheng Xu:
Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems. IEEE Access 7: 175793-175815 (2019)
[j28]
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Zhi Dou, Lin Sun, Weiping Ding:
Multiple Parameters Determination for Image and Video Reconstruction Using Genetic Algorithm and Generalized Stein's Unbiased Risk Estimation. IEEE Access 7: 177745-177760 (2019)
[j27]
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Fuyuan Xiao, Weiping Ding:
Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis. Appl. Soft Comput. 79: 254-267 (2019)
[j26]
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Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, Chin-Teng Lin:
Subject adaptation network for EEG data analysis. Appl. Soft Comput. 84 (2019)
[j25]
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Santos Kumar Baliarsingh, Weiping Ding, Swati Vipsita, Sambit Bakshi:
A memetic algorithm using emperor penguin and social engineering optimization for medical data classification. Appl. Soft Comput. 85 (2019)
[j24]
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Swagatika Devi, Manmath Narayan Sahoo, Khan Muhammad, Weiping Ding, Sambit Bakshi:
Hiding medical information in brain MR images without affecting accuracy of classifying pathological brain. Future Gener. Comput. Syst. 99: 235-246 (2019)
[j23]
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Linbo Wang, Hui Zhen, Xianyong Fang, Shaohua Wan, Weiping Ding, Yanwen Guo:
A unified two-parallel-branch deep neural network for joint gland contour and segmentation learning. Future Gener. Comput. Syst. 100: 316-324 (2019)
[j22]
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Shiming Chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, Zehong Cao:
Semi-supervised feature learning for improving writer identification. Inf. Sci. 482: 156-170 (2019)
[j21]
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Xiaowei Gu, Weiping Ding:
A hierarchical prototype-based approach for classification. Inf. Sci. 505: 325-351 (2019)
[j20]
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Zhaopeng Hu, Weiping Ding, Zhan Gao, Xiaohui Zhu, Jiehua Wang:
一种基于区块链技术的多阶段级联无线安全认证方案 (Multi-stage Cascade Wireless Security Authentication Scheme Based on Blockchain Technology). 计算机科学 46(12): 180-185 (2019)
[j19]
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Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou:
Sequential three-way classifier with justifiable granularity. Knowl. Based Syst. 163: 103-119 (2019)
[j18]
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Guoqing Chao, Yuan Luo, Weiping Ding:
Recent Advances in Supervised Dimension Reduction: A Survey. Mach. Learn. Knowl. Extr. 1(1): 341-358 (2019)
[j17]
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Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, Tung-Ping Su:
Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG. IEEE Trans. Biomed. Eng. 66(6): 1668-1679 (2019)
[j16]
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Weiping Ding, Chin-Teng Lin, Zehong Cao:
Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes. IEEE Trans. Cybern. 49(7): 2744-2757 (2019)
[j15]
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Muhammad Sajjad, Ijaz Ul Haq, Jaime Lloret, Weiping Ding, Khan Muhammad:
Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment. IEEE Trans. Ind. Informatics 15(12): 6541-6550 (2019)
[j14]
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Weiping Ding, Chin-Teng Lin, Zehong Cao:
Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2013-2027 (2019)
[c3]
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Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CIKM 2019: 1171-1180
[i1]
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Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CoRR abs/1910.03437 (2019)
2018
[j13]
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Tao Meng, Lijun Cai, Tingqin He, Lei Chen, Ziyun Deng, Weiping Ding, Zehong Cao:
A Modified Distance Dynamics Model for Improvement of Community Detection. IEEE Access 6: 63934-63947 (2018)
[j12]
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Ziyun Deng, Tingqin He, Weiping Ding, Zehong Cao:
A Multimodel Fusion Engine for Filtering Webpages. IEEE Access 6: 66062-66071 (2018)
[j11]
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Weiping Ding, Chin-Teng Lin, Mukesh Prasad:
Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI. Expert Syst. Appl. 101: 243-257 (2018)
[j10]
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Weiping Ding, Chin-Teng Lin, Senbo Chen, Xiaofeng Zhang, Bin Hu:
Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications. Neurocomputing 272: 136-153 (2018)
[j9]
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Zongyuan Zhang, Zhijin Guan, Hong Zhang, Haiying Ma, Weiping Ding:
A method for synthesis and optimization for linear nearest neighbor quantum circuits by parallel processing. Quantum Inf. Comput. 18(13&14): 1095-1114 (2018)
[j8]
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Xueyun Cheng, Zhijin Guan, Weiping Ding:
Mapping from multiple-control Toffoli circuits to linear nearest neighbor quantum circuits. Quantum Inf. Process. 17(7): 169 (2018)
[j7]
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Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, Jiandong Wang:
A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue. IEEE Trans. Fuzzy Syst. 26(3): 1177-1191 (2018)
[c2]
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Nannan Lu, Wenjian Luo, Li Ni, Hao Jiang, Weiping Ding:
Extending CDFR for Overlapping Community Detection. ICDIS 2018: 200-206
2017
[j6]
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  - journals/ijon/SaxenaPGBPTEDL17
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Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin:
A review of clustering techniques and developments. Neurocomputing 267: 664-681 (2017)
[j5]
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Mukesh Prasad, Chin-Teng Lin, Dong-Lin Li, Chao-Ting Hong, Weiping Ding, Jyh-Yeong Chang:
Soft-Boosted Self-Constructing Neural Fuzzy Inference Network. IEEE Trans. Syst. Man Cybern. Syst. 47(3): 584-588 (2017)
2016
[j4]
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Weiping Ding, Jiehua Wang, Jiandong Wang:
A hierarchical-coevolutionary-MapReduce-based knowledge reduction algorithm with robust ensemble Pareto equilibrium. Inf. Sci. 342: 153-175 (2016)
[j3]
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Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Senbo Chen, Zhijin Guan:
Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records. IEEE Trans. Syst. Man Cybern. Syst. 46(3): 384-400 (2016)
2015
[j2]
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Weiping Ding, Zhijin Guan, Quan Shi, Jiandong Wang:
A more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators. Inf. Sci. 293: 214-234 (2015)
2013
[j1]
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Weiping Ding, Jiandong Wang:
A novel approach to minimum attribute reduction based on quantum-inspired self-adaptive cooperative co-evolution. Knowl. Based Syst. 50: 1-13 (2013)
[c1]
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Weiping Ding, Quan Shi, Senbo Chen, Zhijin Guan, Jiandong Wang:
A novel quantum cooperative co-evolutionary algorithm for large-scale minimum attribute reduction optimization. CIDM 2013: 280-286

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