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2020 – today
- 2025
[j100]Yuhong Zhang, Xiaolong Zhu, Xuegang Hu:
Entity alignment in noisy knowledge graph. Appl. Intell. 55(2): 210 (2025)- 2024
- [j99]Zhanwang Chen
, Peipei Li, Xuegang Hu:
Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification. Appl. Intell. 54(17-18): 8020-8040 (2024) - [j98]Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang, Zhifan Gao, Shu Zhao, Kemal Polat:
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network. Artif. Intell. Medicine 154: 102932 (2024) - [j97]Yuhong Zhang, Jianqing Wu, Qi Zhang, Xuegang Hu:
Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation. Data Intell. 6(1): 183-200 (2024) - [j96]Yizhang Zou, Xuegang Hu, Peipei Li, Yuhang Ge:
Learning shared and non-redundant label-specific features for partial multi-label classification. Inf. Sci. 656: 119917 (2024) - [j95]Yuhong Zhang, Taohong Chen, Kui Yu, Xuegang Hu:
Zero-shot learning with visual-semantic mutual reinforcement for image recognition. J. Electronic Imaging 33(5) (2024) - [j94]Xuegang Hu, Yan Ke:
EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation. J. Real Time Image Process. 21(2): 40 (2024) - [j93]Xuegang Hu, Wei Zhao:
Lightweight multi-scale generative adversarial network with attention for image denoising. Multim. Syst. 30(5): 289 (2024) - [j92]Xuegang Hu, Wei Zhao:
Multi-scale information fusion generative adversarial network for real-world noisy image denoising. Mach. Vis. Appl. 35(4): 81 (2024) - [j91]Xuegang Hu, Jing Feng, Juelin Gong:
LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes. Pattern Anal. Appl. 27(1): 27 (2024) - [j90]Yizhang Zou, Xuegang Hu, Pei-Pei Li:
Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognit. 145: 109900 (2024) - [j89]Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu:
A cross-network node classification method in open-set scenario. Pattern Recognit. 155: 110718 (2024) - [j88]Xuegang Hu, Jing Feng:
A Fast Attention-Guided Hierarchical Decoding Network for Real-Time Semantic Segmentation. Sensors 24(1): 95 (2024) - [j87]Yuhong Zhang, Congmei Shi, Xinzheng Li, Zan Zhang, Xuegang Hu:
Multicomponent Similarity Graphs for Cross-Network Node Classification. IEEE Trans. Artif. Intell. 5(3): 1411-1424 (2024) - [j86]Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu:
Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. 15(1): 10:1-10:28 (2024) - [j85]Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu:
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42(5): 139:1-139:26 (2024) - [c97]Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu:
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. IJCAI 2024: 2045-2053 - [i9]Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu:
Online Multi-Label Classification under Noisy and Changing Label Distribution. CoRR abs/2410.02394 (2024) - 2023
- [j84]Xuegang Hu, Baoman Zhou:
LBARNet: Lightweight bilateral asymmetric residual network for real-time semantic segmentation. Comput. Graph. 116: 1-12 (2023) - [j83]Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu:
Meta-path based graph contrastive learning for micro-video recommendation. Expert Syst. Appl. 222: 119713 (2023) - [j82]Xuegang Hu, Shuhan Xu, Liyuan Jing:
Lightweight attention-guided redundancy-reuse network for real-time semantic segmentation. IET Image Process. 17(9): 2649-2658 (2023) - [j81]Boyan Wang, Xuegang Hu, Jinglin Zhang, Chenchu Xu, Zhifan Gao:
Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules. IEEE Internet Things J. 10(2): 1536-1545 (2023) - [j80]Xuegang Hu, Yuanjing Liu:
Lightweight multi-scale attention-guided network for real-time semantic segmentation. Image Vis. Comput. 139: 104823 (2023) - [j79]Pei-Pei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu:
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Trans. Big Data 9(1): 341-357 (2023) - [j78]Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo:
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 447-461 (2023) - [j77]Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu:
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. ACM Trans. Knowl. Discov. Data 17(5): 65:1-65:26 (2023) - [j76]Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu:
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Trans. Knowl. Data Eng. 35(8): 8085-8099 (2023) - [c96]Yizhang Zou, Xuegang Hu, Pei-Pei Li:
Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. ICKG 2023: 274-281 - [c95]Qingxia Jiang, Peipei Li, Yuhong Zhang, Xuegang Hu:
Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. IJCNN 2023: 1-8 - [c94]Jiajun Li, Pei-Pei Li, Xuegang Hu:
Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IJCNN 2023: 1-8 - [c93]Xiulan Yuan, Xuegang Hu, Pei-Pei Li:
Multi-source Multi-label Feature Selection. IJCNN 2023: 1-8 - [c92]Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu:
Meta Multi-agent Exercise Recommendation: A Game Application Perspective. KDD 2023: 1441-1452 - [c91]Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu:
Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation. ICMR 2023: 48-56 - 2022
- [j75]Xuegang Hu, Liyuan Jing, Uroosa Sehar:
Joint pyramid attention network for real-time semantic segmentation of urban scenes. Appl. Intell. 52(1): 580-594 (2022) - [j74]Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang:
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. 23-S(7): 518 (2022) - [j73]Xuegang Hu, Juelin Gong:
LARFNet: Lightweight asymmetric refining fusion network for real-time semantic segmentation. Comput. Graph. 109: 55-64 (2022) - [j72]Yingying Liu, Pei-Pei Li, Xuegang Hu:
Combining context-relevant features with multi-stage attention network for short text classification. Comput. Speech Lang. 71: 101268 (2022) - [j71]Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu:
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238: 107882 (2022) - [j70]Junlong Li, Pei-Pei Li, Xuegang Hu, Kui Yu:
Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognit. 121: 108259 (2022) - [j69]Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognit. 129: 108742 (2022) - [j68]Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu:
Fuzzy Bayesian Knowledge Tracing. IEEE Trans. Fuzzy Syst. 30(7): 2412-2425 (2022) - [c90]Junwei Lv, Xuegang Hu:
A Baseline for Early Classification of Time Series in An Open World. COMPSAC 2022: 343-351 - [c89]Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu:
Dual Confidence Learning Network for Open-World Time Series Classification. DASFAA (2) 2022: 574-589 - [c88]Yuhang Ge, Xuegang Hu:
Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. ICKG 2022: 64-70 - [c87]Shuhan Xu, Xuegang Hu:
A lightweight network with multi-scale information interaction attention for real-time semantic segmentation. ICMV 2022 - [c86]Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu:
DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. ICONIP (2) 2022: 255-266 - [c85]Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. ICONIP (4) 2022: 336-347 - [c84]Yuhong Zhang, Haitao Shu, Chenyang Bu, Xuegang Hu:
A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. ICTAI 2022: 391-395 - [c83]Xinzheng Li, Yuhong Zhang, Peipei Li, Xuegang Hu:
Structure Similarity Graph for Cross-Network Node Classification. ICTAI 2022: 441-445 - [c82]Shiyuan Qiu, Peipei Li, Xuegang Hu:
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. IJCNN 2022: 1-8 - [c81]Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang:
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IJCNN 2022: 1-8 - [c80]Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu:
Multi-Label Learning with Missing Labels via Common and Label-Specific Features. IJCNN 2022: 1-8 - [c79]Zhidong Huang, Peipei Li, Xuegang Hu:
PU Matrix Completion Based Multi-label Classification with Missing Labels. ISDA (2) 2022: 71-82 - [c78]Yuhong Zhang, Zhihao Lin, Lin Qian, Xuegang Hu:
Multi-modal Component Representation for Multi-source Domain Adaptation Method. PRICAI (1) 2022: 104-109 - [c77]Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu:
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. PRICAI (1) 2022: 353-365 - [c76]Shuai Sun, Xuegang Hu, Chenyang Bu, Fei Liu, Yuhong Zhang, Wenjian Luo:
Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application. ICSI (1) 2022: 282-293 - [i8]Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu:
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. CoRR abs/2210.08971 (2022) - [i7]Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu:
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing. CoRR abs/2210.15470 (2022) - 2021
- [j67]Xuegang Hu, Yu Gong:
Lightweight Asymmetric Dilation Network for Real-Time Semantic Segmentation. IEEE Access 9: 55630-55643 (2021) - [j66]Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu:
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Appl. Intell. 51(11): 7666-7678 (2021) - [j65]Ying He, Gongqing Wu, Desheng Cai, Shengjie Hu, Xianyu Bao, Xuegang Hu:
Attentive interaction-driven entity resolution over multi-source web information. Neurocomputing 425: 266-277 (2021) - [j64]Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu:
Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowl. Based Syst. 215: 106749 (2021) - [j63]Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu:
Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. 218: 106876 (2021) - [j62]Pei-Pei Li, Man Wu, Junhong He, Xuegang Hu:
Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Gener. Comput. 39(2): 341-376 (2021) - [c75]Yuhong Zhang, Yuxin Xie, Pei-Pei Li, Xuegang Hu:
A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. CCIS 2021: 449-454 - [c74]Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu:
Multi-Label Learning with Missing Features. IJCNN 2021: 1-8 - [c73]Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li:
Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set. IJCNN 2021: 1-9 - 2020
- [j61]Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu:
A Survey on Multi-Label Data Stream Classification. IEEE Access 8: 1249-1275 (2020) - [j60]Xuegang Hu, Haibo Wang:
Efficient Fast Semantic Segmentation Using Continuous Shuffle Dilated Convolutions. IEEE Access 8: 70913-70924 (2020) - [j59]Junwei Lv, Xuegang Hu, Lei Li, Peipei Li:
Corrections to "An Effective Confidence-Based Early Classification of Time Series". IEEE Access 8: 163044 (2020) - [j58]Xuegang Hu, Liyuan Jing:
LDPNet: A Lightweight Densely Connected Pyramid Network for Real-Time Semantic Segmentation. IEEE Access 8: 212647-212658 (2020) - [j57]Shuai Yang, Yuhong Zhang, Hao Wang, Peipei Li, Xuegang Hu:
Representation learning via serial robust autoencoder for domain adaptation. Expert Syst. Appl. 160: 113635 (2020) - [j56]Xuegang Hu, Hongguang Yang:
DRU-net: a novel U-net for biomedical image segmentation. IET Image Process. 14(1): 192-200 (2020) - [j55]Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowl. Based Syst. 190: 105161 (2020) - [j54]Yuhong Zhang, Yuling Li, Yi Zhu, Xuegang Hu:
Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings. Pattern Recognit. Lett. 129: 311-316 (2020) - [c72]Daoyuan Yu, Xuegang Hu:
Adaptive domain of dynamic distribution based on manifold space. ICKG 2020: 58-63 - [c71]Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li:
Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. ICKG 2020: 108-115 - [c70]Xuetao Tang, Xuegang Hu, Pei-Pei Li:
Dynamically Jointing character and word embedding for Chinese text Classification. ICKG 2020: 336-343
2010 – 2019
- 2019
- [j53]Junwei Lv, Xuegang Hu, Lei Li, Pei-Pei Li:
An Effective Confidence-Based Early Classification of Time Series. IEEE Access 7: 96113-96124 (2019) - [j52]Gongqing Wu, Huicheng Zhang, Ying He, Xianyu Bao, Lei Li, Xuegang Hu:
Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification. IEEE Access 7: 139580-139591 (2019) - [j51]Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang:
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7: 143015-143024 (2019) - [j50]Huaining Sun, Xuegang Hu, Yuhong Zhang:
Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree. Entropy 21(2): 198 (2019) - [j49]Shuai Yang, Yuhong Zhang, Yi Zhu, Pei-Pei Li, Xuegang Hu:
Representation learning via serial autoencoders for domain adaptation. Neurocomputing 351: 1-9 (2019) - [j48]Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu:
Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369: 145-154 (2019) - [j47]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. 481: 258-279 (2019) - [j46]Xuegang Hu, Wei He, Lei Li, Yaojin Lin, Huizong Li, Jianhan Pan:
An efficient and fast algorithm for community detection based on node role analysis. Int. J. Mach. Learn. Cybern. 10(4): 641-654 (2019) - [j45]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
OFS-Density: A novel online streaming feature selection method. Pattern Recognit. 86: 48-61 (2019) - [c69]Longmao Hu, Bingwu Fang, Xuegang Hu:
Appraisal expression extraction based on semantic and dependency parsing. AIIPCC 2019: 66:1-66:8 - [c68]Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, Lei Shi:
A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction. GLOBECOM 2019: 1-6 - [c67]Zhe Chu, Peipei Li, Xuegang Hu:
Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. ICBK 2019: 58-65 - [c66]Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu:
Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. ICBK 2019: 160-166 - [c65]Yuxin Xie, Xuegang Hu, Yuhong Zhang, Shi Li:
Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering. ICBK 2019: 302-309 - [c64]Shuai Yang, Yuhong Zhang, Yi Zhu, Han Ding, Xuegang Hu:
The ℓ _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation. ICAIS (2) 2019: 100-111 - [c63]Lei Li, Wei Li, Jianxing Liao, Xuegang Hu:
Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series. SPAC 2019: 68-74 - [i6]Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. CoRR abs/1908.01342 (2019) - 2018
- [j44]Gong-Qing Wu, Ying He, Xuegang Hu:
Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base. IEEE Access 6: 6220-6231 (2018) - [j43]Pan Zheng, Chunlai Mu, Xuegang Hu:
Dead-core rate for the fast diffusion equation with strong absorption in higher dimensional cases. Appl. Math. Comput. 335: 292-304 (2018) - [j42]Pan Zheng, Chunlai Mu, Robert Willie, Xuegang Hu:
Global asymptotic stability of steady states in a chemotaxis-growth system with singular sensitivity. Comput. Math. Appl. 75(5): 1667-1675 (2018) - [j41]Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu:
A survey on online feature selection with streaming features. Frontiers Comput. Sci. 12(3): 479-493 (2018) - [j40]Hua-Zheng Du, Guoye Chen, Xuegang Hu, Na Xia, Biaodian Xu:
Simultaneous perturbation stochastic approximation-based radio occultation data assimilation for sensing atmospheric parameters. Int. J. Distributed Sens. Networks 14(12) (2018) - [j39]Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Transfer learning with stacked reconstruction independent component analysis. Knowl. Based Syst. 152: 100-106 (2018) - [j38]Dan Guo, Ermao Yuan, Xuegang Hu, Xindong Wu:
Co-occurrence pattern mining based on a biological approximation scoring matrix. Pattern Anal. Appl. 21(4): 977-996 (2018) - [j37]Xuegang Hu, Haiyan Wang, Pei-Pei Li:
Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognit. Lett. 116: 187-194 (2018) - [j36]Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybern. 48(9): 2697-2711 (2018) - [c62]Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. ICBK 2018: 83-90 - [c61]Yishun Jiang, Gongqing Wu, Chenyang Bu, Xuegang Hu:
Chinese Entity Relation Extraction Based on Syntactic Features. ICBK 2018: 99-105 - [c60]Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu:
Multi-target Core Network-Based Networked Multi-label Classification. ICBK 2018: 274-281 - [c59]Yuhong Zhang, Mimi Wu, Xuegang Hu, Yi Zhu:
An Online Transfer Learning Algorithm with Adaptive Cost. SPML 2018: 135-141 - 2017
- [j35]Liangchen Wang, Xuegang Hu, Pan Zheng, Ling Li:
Boundedness in a chemotaxis model with exponentially decaying diffusivity and consumption of chemoattractant. Comput. Math. Appl. 74(10): 2444-2448 (2017) - [j34]Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu:
Three-layer concept drifting detection in text data streams. Neurocomputing 260: 393-403 (2017) - [j33]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online feature selection for high-dimensional class-imbalanced data. Knowl. Based Syst. 136: 187-199 (2017) - [c58]Peng Zhou, Xuegang Hu, Pei-Pei Li:
A New Online Feature Selection Method Using Neighborhood Rough Set. ICBK 2017: 135-142 - [c57]