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2020 – today
- 2023
[j180]Liang Bai, Minxue Qi, Jiye Liang:
Spectral clustering with robust self-learning constraints. Artif. Intell. 320: 103924 (2023)- [j179]Baoli Wang
, Jiye Liang, Yiyu Yao:
A trilevel analysis of uncertainty measuresin partition-based granular computing. Artif. Intell. Rev. 56(1): 533-575 (2023) - [j178]Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz:
Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216]. Inf. Sci. 619: 1 (2023) - [j177]Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei:
Multiple metric learning via local metric fusion. Inf. Sci. 621: 341-353 (2023) - [j176]Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang:
High-order graph attention network. Inf. Sci. 630: 222-234 (2023) - [j175]Wentao Cui, Liang Bai, Xian Yang, Jiye Liang:
A new contrastive learning framework for reducing the effect of hard negatives. Knowl. Based Syst. 260: 110121 (2023) - [j174]Caixia Cui, Jie Wang, Wei Wei, Jiye Liang:
Hybrid sampling-based contrastive learning for imbalanced node classification. Int. J. Mach. Learn. Cybern. 14(3): 989-1001 (2023) - [j173]Feng Wang, Jiye Liang, Peng Song:
Coupling learning for feature selection in categorical data. Int. J. Mach. Learn. Cybern. 14(7): 2455-2465 (2023) - [j172]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang:
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1798-1816 (2023) - [j171]Liang Bai, Jiye Liang, Yunxiao Zhao:
Self-Constrained Spectral Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5126-5138 (2023) - [j170]Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang:
A bi-level metric learning framework via self-paced learning weighting. Pattern Recognit. 139: 109446 (2023) - [j169]Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang:
Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results. IEEE Trans. Knowl. Data Eng. 35(3): 3211-3223 (2023) - [c41]Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang:
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. WSDM 2023: 652-660 - 2022
- [j168]Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao:
Multi-view graph convolutional networks with attention mechanism. Artif. Intell. 307: 103708 (2022) - [j167]Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang:
Incomplete multi-view clustering via local and global co-regularization. Sci. China Inf. Sci. 65(5): 1-16 (2022) - [j166]Kaihan Zhang, Zhiqiang Wang, Jiye Liang, Xingwang Zhao:
A Bayesian matrix factorization model for dynamic user embedding in recommender system. Frontiers Comput. Sci. 16(5): 165346 (2022) - [j165]Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz:
Weak multi-label learning with missing labels via instance granular discrimination. Inf. Sci. 594: 200-216 (2022) - [j164]Jing Liu, Fuyuan Cao, Jiye Liang:
Centroids-guided deep multi-view K-means clustering. Inf. Sci. 609: 876-896 (2022) - [j163]Wei Wei, Da Wang, Jiye Liang:
Accelerating ReliefF using information granulation. Int. J. Mach. Learn. Cybern. 13(1): 29-38 (2022) - [j162]Xiaofang Gao, Jiye Liang, Wenjian Wang, Xuefei Bai, Lina Jia:
An unsupervised multi-manifold discriminant isomap algorithm based on the pairwise constraints. Int. J. Mach. Learn. Cybern. 13(5): 1317-1336 (2022) - [j161]Feijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang:
Clustering mixed type data: a space structure-based approach. Int. J. Mach. Learn. Cybern. 13(9): 2799-2812 (2022) - [j160]Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang:
Hierarchical metric learning with intra-level and inter-level regularization. Int. J. Mach. Learn. Cybern. 13(12): 4033-4042 (2022) - [j159]Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang:
AF: An Association-Based Fusion Method for Multi-Modal Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9236-9254 (2022) - [j158]Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang:
Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. 121: 108215 (2022) - [j157]Liang Bai, Jiye Liang:
A categorical data clustering framework on graph representation. Pattern Recognit. 128: 108694 (2022) - [j156]Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang:
Semi-supervised partial multi-label classification via consistency learning. Pattern Recognit. 131: 108839 (2022) - [j155]Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang:
Metric learning via perturbing hard-to-classify instances. Pattern Recognit. 132: 108928 (2022) - [j154]Liang Bai, Yunxiao Zhao, Jiye Liang:
Self-supervised spectral clustering with exemplar constraints. Pattern Recognit. 132: 108975 (2022) - [j153]Ting Guo, Jianqing Liang, Jiye Liang, Guo-Sen Xie:
Cross-modal propagation network for generalized zero-shot learning. Pattern Recognit. Lett. 159: 125-131 (2022) - [j152]Feng Wang, Wei Wei, Jiye Liang:
A group incremental approach for feature selection on hybrid data. Soft Comput. 26(8): 3663-3677 (2022) - [j151]Yu Xie, Shengze Lv, Yuhua Qian, Chao Wen, Jiye Liang:
Active and Semi-Supervised Graph Neural Networks for Graph Classification. IEEE Trans. Big Data 8(4): 920-932 (2022) - [c40]Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Instance Selection: A Bayesian Decision Theory Perspective. AAAI 2022: 6287-6294 - [c39]Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang:
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. AAAI 2022: 8584-8593 - [c38]Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yyuze Li:
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. AAAI 2022: 8621-8628 - [c37]Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai:
Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. KDD 2022: 2408-2417 - [c36]Junbiao Cui, Jiye Liang:
Fuzzy Learning Machine. NeurIPS 2022 - [c35]Wenping Zheng, Meilin Liu, Jiye Liang:
Hypergraphs: Concepts, Applications and Analysis. PAAP 2022: 1-6 - [c34]Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang:
Multi-Scale Variational Graph AutoEncoder for Link Prediction. WSDM 2022: 334-342 - [i4]Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang:
Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection. CoRR abs/2205.03627 (2022) - [i3]Jianli Huang, Kui Yu, Xianjie Guo, Fuyuan Cao, Jiye Liang:
Towards Privacy-Aware Causal Structure Learning in Federated Setting. CoRR abs/2211.06919 (2022) - 2021
- [j150]Fuyuan Cao, Xiaolin Wu, Liqin Yu, Jiye Liang:
An outlier detection algorithm for categorical matrix-object data. Appl. Soft Comput. 104: 107182 (2021) - [j149]Yali Lv, Junzhong Miao, Jiye Liang, Ling Chen, Yuhua Qian:
BIC-based node order learning for improving Bayesian network structure learning. Frontiers Comput. Sci. 15(6): 156337 (2021) - [j148]Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang, Lin Sun, Chao Chen:
Fuzzy rough discrimination and label weighting for multi-label feature selection. Neurocomputing 465: 128-140 (2021) - [j147]Liqin Yu, Fuyuan Cao, Xiao-Zhi Gao, Jing Liu, Jiye Liang:
k-Mnv-Rep: A k-type clustering algorithm for matrix-object data. Inf. Sci. 542: 40-57 (2021) - [j146]Xingwang Zhao, Jiye Liang, Jie Wang:
A community detection algorithm based on graph compression for large-scale social networks. Inf. Sci. 551: 358-372 (2021) - [j145]Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang:
Semi-supervised learning with mixed-order graph convolutional networks. Inf. Sci. 573: 171-181 (2021) - [j144]Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang:
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective. J. Mach. Learn. Res. 22: 18:1-18:66 (2021) - [j143]Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei:
Graph-based semi-supervised learning via improving the quality of the graph dynamically. Mach. Learn. 110(6): 1345-1388 (2021) - [j142]Chao Zhang, Deyu Li, Jiye Liang, Baoli Wang:
MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA. Int. J. Mach. Learn. Cybern. 12(5): 1219-1241 (2021) - [j141]Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. Int. J. Mach. Learn. Cybern. 12(12): 3397-3414 (2021) - [j140]Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang:
Metric learning with clustering-based constraints. Int. J. Mach. Learn. Cybern. 12(12): 3597-3605 (2021) - [j139]Liang Bai, Jiye Liang, Fuyuan Cao:
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3247-3258 (2021) - [j138]Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang:
Deep neural network compression through interpretability-based filter pruning. Pattern Recognit. 119: 108056 (2021) - 2020
- [j137]Liqin Yu, Fuyuan Cao, Xingwang Zhao, Xiaodan Yang, Jiye Liang:
Combining attribute content and label information for categorical data ensemble clustering. Appl. Math. Comput. 381: 125280 (2020) - [j136]Jiye Liang, Yunsheng Song, Deyu Li, Zhiqiang Wang, Chuangyin Dang:
An accelerator for the logistic regression algorithm based on sampling on-demand. Sci. China Inf. Sci. 63(6) (2020) - [j135]Yali Lv, Weixin Hu, Jiye Liang, Yuhua Qian, Junzhong Miao:
A naive learning algorithm for class-bridge-decomposable multidimensional Bayesian network classifiers. Concurr. Comput. Pract. Exp. 32(19) (2020) - [j134]Jifang Pang, Xiaoqiang Guan, Jiye Liang, Baoli Wang, Peng Song:
Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions. Int. J. Approx. Reason. 117: 122-147 (2020) - [j133]Baoli Wang, Jiye Liang:
A Novel Preference Measure for Multi-Granularity Probabilistic Linguistic Term Sets and its Applications in Large-Scale Group Decision-Making. Int. J. Fuzzy Syst. 22(7): 2350-2368 (2020) - [j132]Liang Bai, Jiye Liang, Fuyuan Cao:
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters. Inf. Fusion 61: 36-47 (2020) - [j131]Chao Zhang, Deyu Li, Jiye Liang:
Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes. Inf. Sci. 507: 665-683 (2020) - [j130]Chao Zhang, Deyu Li, Jiye Liang:
Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making. Inf. Sci. 511: 192-211 (2020) - [j129]Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang:
A fusion collaborative filtering method for sparse data in recommender systems. Inf. Sci. 521: 365-379 (2020) - [j128]Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang:
基于极端评分行为的相似度计算 (New Similarity Measure Based on Extremely Rating Behavior). 计算机科学 47(2): 31-36 (2020) - [j127]Feilong Cao, Kaixuan Yao, Jiye Liang:
Deconvolutional neural network for image super-resolution. Neural Networks 132: 394-404 (2020) - [j126]Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du:
New label propagation algorithm with pairwise constraints. Pattern Recognit. 106: 107411 (2020) - [j125]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding:
Fusing Fuzzy Monotonic Decision Trees. IEEE Trans. Fuzzy Syst. 28(5): 887-900 (2020) - [c33]Liang Bai, Jiye Liang:
A Three-Level Optimization Model for Nonlinearly Separable Clustering. AAAI 2020: 3211-3218 - [c32]Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang:
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. AAAI 2020: 4860-4867 - [c31]Liang Bai, Jiye Liang:
Sparse Subspace Clustering with Entropy-Norm. ICML 2020: 561-568
2010 – 2019
- 2019
- [j124]Yali Lv, Jiye Liang, Yuhua Qian, Jiajie Wu, Suqin Ji:
Sign fusion of multiple QPNs based on qualitative mutual information. Int. J. Comput. Sci. Eng. 19(1): 36-45 (2019) - [j123]Baoli Wang, Jiye Liang, Jifang Pang:
Deviation Degree: A Perspective on Score Functions in Hesitant Fuzzy Sets. Int. J. Fuzzy Syst. 21(7): 2299-2317 (2019) - [j122]Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun:
Hierarchical division clustering framework for categorical data. Neurocomputing 341: 118-134 (2019) - [j121]Wei Wei, Jiye Liang:
Information fusion in rough set theory : An overview. Inf. Fusion 48: 107-118 (2019) - [j120]Jie Wang, Jiye Liang, Wenping Zheng, Xingwang Zhao, Junfang Mu:
Protein complex detection algorithm based on multiple topological characteristics in PPI networks. Inf. Sci. 489: 78-92 (2019) - [j119]Xiaoqiang Guan, Jifang Pang, Jiye Liang:
基于类别随机化的随机森林算法 (Randomization of Classes Based Random Forest Algorithm). 计算机科学 46(2): 196-201 (2019) - [j118]Jie Wang, Jiye Liang, Xingwang Zhao, Wenping Zheng:
一种基于同配性的重叠蛋白质复合体检测算法 (Overlapping Protein Complexes Detection Algorithm Based on Assortativity in PPI Networks). 计算机科学 46(2): 294-300 (2019) - [j117]Xingwang Zhao, Jiye Liang, Chuangyin Dang:
A stratified sampling based clustering algorithm for large-scale data. Knowl. Based Syst. 163: 416-428 (2019) - [j116]Junfang Mu, Wenping Zheng, Jie Wang, Jiye Liang:
A novel edge rewiring strategy for tuning structural properties in networks. Knowl. Based Syst. 177: 55-67 (2019) - [j115]Yang Li, Jie Wang, Suge Wang, Jiye Liang, Juanzi Li:
Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification. Int. J. Mach. Learn. Cybern. 10(7): 1805-1820 (2019) - [j114]Wei Wei, Peng Song, Jiye Liang, Xiaoying Wu:
Accelerating incremental attribute reduction algorithm by compacting a decision table. Int. J. Mach. Learn. Cybern. 10(9): 2355-2373 (2019) - [j113]Yunsheng Song, Jiye Liang, Feng Wang:
An accelerator for support vector machines based on the local geometrical information and data partition. Int. J. Mach. Learn. Cybern. 10(9): 2389-2400 (2019) - [j112]Junhong Wang, Shuliang Xu, Bingqian Duan, Caifeng Liu, Jiye Liang:
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams. Neural Process. Lett. 50(3): 2101-2117 (2019) - [j111]Yang Li, Ying Lv, Suge Wang, Jiye Liang, Juanzi Li, Xiaoli Li:
Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification. Symmetry 11(2): 133 (2019) - [j110]Anhui Tan, Wei-Zhi Wu, Yuhua Qian, Jiye Liang, Jinkun Chen, Jinjin Li:
Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection. IEEE Trans. Fuzzy Syst. 27(3): 527-539 (2019) - [j109]Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo:
An Information-Theoretical Framework for Cluster Ensemble. IEEE Trans. Knowl. Data Eng. 31(8): 1464-1477 (2019) - [i2]Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. CoRR abs/1908.01931 (2019) - 2018
- [j108]Xingwang Zhao, Fuyuan Cao, Jiye Liang:
A sequential ensemble clusterings generation algorithm for mixed data. Appl. Math. Comput. 335: 264-277 (2018) - [j107]Peng Song, Jiye Liang, Yuhua Qian, Wei Wei, Feng Wang:
A cautious ranking methodology with its application for stock screening. Appl. Soft Comput. 71: 835-848 (2018) - [j106]Zhiqiang Wang, Jiye Liang, Ru Li:
Exploiting user-to-user topic inclusion degree for link prediction in social-information networks. Expert Syst. Appl. 108: 143-158 (2018) - [j105]Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang:
Local rough set: A solution to rough data analysis in big data. Int. J. Approx. Reason. 97: 38-63 (2018) - [j104]Yinfeng Meng, Jiye Liang, Fuyuan Cao, Yijun He:
A new distance with derivative information for functional k-means clustering algorithm. Inf. Sci. 463-464: 166-185 (2018) - [j103]Xingwang Zhao, Jiye Liang, Lanjie Guo:
一种基于空间变换的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Space Transformation). 计算机科学 45(7): 16-21 (2018) - [j102]Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun:
Discernibility matrix based incremental attribute reduction for dynamic data. Knowl. Based Syst. 140: 142-157 (2018) - [j101]Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo:
A novel community detection algorithm based on simplification of complex networks. Knowl. Based Syst. 143: 58-64 (2018) - [j100]Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang:
Local neighborhood rough set. Knowl. Based Syst. 153: 53-64 (2018) - [j99]Zhiqiang Wang, Jiye Liang, Ru Li:
A fusion probability matrix factorization framework for link prediction. Knowl. Based Syst. 159: 72-85 (2018) - [j98]Chao Zhang, Deyu Li, Jiye Liang:
Hesitant fuzzy linguistic rough set over two universes model and its applications. Int. J. Mach. Learn. Cybern. 9(4): 577-588 (2018) - [j97]Liang Bai, Jiye Liang, Yike Guo:
An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters. IEEE Trans. Fuzzy Syst. 26(6): 3524-3533 (2018) - [j96]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian:
An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4593-4606 (2018) - 2017
- [j95]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang:
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes. Appl. Math. Comput. 295: 1-15 (2017) - [j94]Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang:
k-mw-modes: An algorithm for clustering categorical matrix-object data. Appl. Soft Comput. 57: 605-614 (2017) - [j93]Jifang Pang, Jiye Liang, Peng Song:
An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment. Appl. Soft Comput. 58: 339-353 (2017) - [j92]Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang:
Local multigranulation decision-theoretic rough sets. Int. J. Approx. Reason. 82: 119-137 (2017) - [j91]Yunsheng Song, Jiye Liang, Jing Lu, Xingwang Zhao:
An efficient instance selection algorithm for k nearest neighbor regression. Neurocomputing 251: 26-34 (2017) - [j90]Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang:
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method. Inf. Sci. 378: 389-409 (2017) - [j89]Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang, Witold Pedrycz, Chuangyin Dang:
Grouping granular structures in human granulation intelligence. Inf. Sci. 382-383: 150-169 (2017) - [j88]Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo:
Fast graph clustering with a new description model for community detection. Inf. Sci. 388: 37-47 (2017) - [j87]Xiaoqiang Guan, Jiye Liang, Yuhua Qian, Jifang Pang:
A multi-view OVA model based on decision tree for multi-classification tasks. Knowl. Based Syst. 138: 208-219 (2017) - [j86]Xingwang Zhao, Jiye Liang, Chuangyin Dang:
Clustering ensemble selection for categorical data based on internal validity indices. Pattern Recognit. 69: 150-168 (2017) - [j85]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo:
Fast density clustering strategies based on the k-means algorithm. Pattern Recognit. 71: 375-386 (2017) - [c30]Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang:
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. ICDM 2017: 515-524 - [i1]Junhong Wang, Shuliang Xu, Bingqian Duan, Caifeng Liu, Jiye Liang:
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams. CoRR abs/1708.03496 (2017) - 2016
- [j84]