Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFan Min
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j68]Fan Min
, Linrong Wang, Shulin Pan, Guojie Song:
Fast convex set projection with deep prior for seismic interpolation. Expert Syst. Appl. 213(Part): 119256 (2023)- [j67]Min Wang, Chunyu Yang, Fei Zhao, Fan Min, Xizhao Wang:
Cost-Sensitive Active Learning for Incomplete Data. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 405-416 (2023) - [i9]Youxi Wu, Shuhui Cheng, Yan Li, Rongjie Lv, Fan Min:
Sequential three-way decisions with a single hidden layer feedforward neural network. CoRR abs/2303.07589 (2023) - 2022
- [j66]Yan-Xue Wu, Zhi-Neng Hu, Yuan-Yuan Wang, Fan Min:
Rare Potential Poor Household Identification With a Focus Embedded Logistic Regression. IEEE Access 10: 32954-32972 (2022) - [j65]Min Wang, Tingting Feng, Zhaohui Shan, Fan Min:
Attribute and label distribution driven multi-label active learning. Appl. Intell. 52(10): 11131-11146 (2022) - [j64]Heng-Ru Zhang, Jie Qian, Hui-Lin Qu, Fan Min:
A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system. Appl. Soft Comput. 114: 108162 (2022) - [j63]Zhi-Heng Zhang, Fan Min, Gong-Suo Chen, Shaopeng Shen, Zuo-Cheng Wen, Xiang-bing Zhou:
Tri-Partition State Alphabet-Based Sequential Pattern for Multivariate Time Series. Cogn. Comput. 14(6): 1881-1899 (2022) - [j62]Zhong-Hui Liu, Qi Zhao, Lu Zou, Wei-Hua Xu, Fan Min:
A heuristic concept construction approach to collaborative recommendation. Int. J. Approx. Reason. 146: 119-132 (2022) - [j61]Mei Yang, Yu-Xuan Zhang, Zhengchun Zhou, Wen-Xi Zeng, Fan Min:
Multi-embedding space set-kernel and its application to multi-instance learning. Neurocomputing 512: 339-351 (2022) - [j60]Yusheng Cheng, Kun Qian, Fan Min:
Global and local attention-based multi-label learning with missing labels. Inf. Sci. 594: 20-42 (2022) - [j59]Yu Fang, Xue-Mei Cao, Xin Wang, Fan Min:
Three-way sampling for rapid attribute reduction. Inf. Sci. 609: 26-45 (2022) - [j58]Shimin Wang, Xinzheng Niu, Philippe Fournier-Viger, Dongmei Zhou, Fan Min:
A graph based approach for mining significant places in trajectory data. Inf. Sci. 609: 172-194 (2022) - [j57]Xue-Yang Min, Kun Qian, Ben-Wen Zhang, Guojie Song, Fan Min:
Multi-label active learning through serial-parallel neural networks. Knowl. Based Syst. 251: 109226 (2022) - [j56]Hongyuan Li, Hong Yu, Fan Min, Dun Liu, Huaxiong Li:
Incremental sequential three-way decision based on continual learning network. Int. J. Mach. Learn. Cybern. 13(6): 1633-1645 (2022) - [j55]Yuanyuan Xu, Shen-Ming Gu, Fan Min:
Improving recommendation quality through outlier removal. Int. J. Mach. Learn. Cybern. 13(7): 1819-1832 (2022) - [j54]Mei Yang, Yu-Xuan Zhang, Xizhao Wang, Fan Min:
Multi-Instance Ensemble Learning With Discriminative Bags. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5456-5467 (2022) - [c70]Li-Yan Liu, Peng Huang, Fan Min:
Safe Multi-view Co-training for Semi-supervised Regression. DSAA 2022: 1-10 - [c69]Li-Yan Liu, Jia-Hui Zhang, Fan Min:
Semi-supervised Regression with Data Partitioning and Feature Mapping. DSAA 2022: 1-10 - [c68]Chao-Fan Pan, Fan Min, Heng-Ru Zhang, Yu Wang:
BRL: Learning behavior representations of Reversi players. DSAA 2022: 1-10 - [c67]Bin-Yuan Rong, Heng-Ru Zhang, Gui-Lin Li, Fan Min:
Label Distribution Learning with Data Augmentation using Generative Adversarial Networks. DSAA 2022: 1-10 - [c66]Mei Yang, Wen-Tao Tang, Fan Min:
Multi-instance Multi-label Learning Based on Parallel Attention and Local Label Manifold Correlation. DSAA 2022: 1-10 - [c65]Fan Min, Yu Li, Liyan Liu:
Self-paced Safe Co-training for Regression. PAKDD (2) 2022: 71-82 - [c64]Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min:
Attention-to-Embedding Framework for Multi-instance Learning. PAKDD (2) 2022: 109-121 - [c63]Mei Yang, Wen-Xi Zeng, Fan Min:
Multi-instance Embedding Learning Through High-level Instance Selection. PAKDD (2) 2022: 122-133 - [c62]Yu Fang, Xue-Mei Cao, Xin Wang, Fan Min:
Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction. PAKDD (2) 2022: 161-173 - [c61]Yue Peng, Kun Qian, Guojie Song, Fan Min:
Multi-label Feature Extraction With Distance-Based Graph Attention Network. IJCRS 2022: 203-216 - [c60]Yu Fang, Zhao-Chen Li, Xin Yang, Fan Min:
3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification. IJCRS 2022: 405-419 - 2021
- [j53]Lei Gao, Haokun Jiang, Fan Min:
Stable first-arrival picking through adaptive threshold determination and spatial constraint clustering. Expert Syst. Appl. 182: 115216 (2021) - [j52]Lei Gao, Haokun Jiang, Fan Min:
Automatic first-arrival picking through convolution kernel construction and particle swarm optimization. Comput. Geosci. 155: 104859 (2021) - [j51]Shuhui Cheng, Youxi Wu, Yan Li, Fang Yao, Fan Min:
TWD-SFNN: Three-way decisions with a single hidden layer feedforward neural network. Inf. Sci. 579: 15-32 (2021) - [j50]Min Wang, Hong-Tian Yu, Fan Min:
Noise label learning through label confidence statistical inference. Knowl. Based Syst. 227: 107234 (2021) - [c59]Gui-Lin Li, Heng-Ru Zhang, Yuanyuan Xu, Ya-Lan Lv, Fan Min:
Label Distribution Learning by Exploiting Feature-Label Correlations Locally. ICBK 2021: 86-93 - [c58]Miao Wu, Shulin Pan, Fan Min:
A Genetic Algorithm for Residual Static Correction. ICBK 2021: 470-476 - [c57]Fan Min, Lin-Rong Wang, Shulin Pan, Guo-Jie Song:
DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network. IJCRS 2021: 44-56 - 2020
- [j49]Heng-Ru Zhang, Yu-Ting Huang, Yuanyuan Xu, Fan Min:
COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation. IEEE Access 8: 63961-63970 (2020) - [j48]Liu-Ying Wen, Chao-Guang Luo, Wei-Zhi Wu, Fan Min:
Multi-label symbolic value partitioning through random walks. Neurocomputing 387: 195-209 (2020) - [j47]Fan Min, Zhi-Heng Zhang, Wen-jie Zhai, Rong-Ping Shen:
Frequent pattern discovery with tri-partition alphabets. Inf. Sci. 507: 715-732 (2020) - [j46]Min Wang, Ke Fu, Fan Min, Xiuyi Jia:
Active learning through label error statistical methods. Knowl. Based Syst. 189 (2020) - [j45]Fan Min, Shi-Ming Zhang, Davide Ciucci, Min Wang:
Three-way active learning through clustering selection. Int. J. Mach. Learn. Cybern. 11(5): 1033-1046 (2020) - [j44]Min Wang, Ying-Yi Zhang, Fan Min, Li-ping Deng, Lei Gao:
A two-stage density clustering algorithm. Soft Comput. 24(23): 17797-17819 (2020) - [c56]Min Wang, Binqian Li, Fan Min, Jiaxue Liu, Manlong Wang:
Ensemble active imputation for incomplete data. ICNSC 2020: 1-6
2010 – 2019
- 2019
- [j43]Qi Huang, Yuanyuan Xu, Yong Chen, Heng-Ru Zhang, Fan Min:
An Adaptive Mechanism for Recommendation Algorithm Ensemble. IEEE Access 7: 10331-10342 (2019) - [j42]Min Wang, Ying-Yi Zhang, Fan Min:
Active Learning Through Multi-Standard Optimization. IEEE Access 7: 56772-56784 (2019) - [j41]Zhi-Heng Zhang, Fan Min:
Frequent State Transition Patterns of Multivariate Time Series. IEEE Access 7: 142934-142946 (2019) - [j40]Rong-Ping Shen, Heng-Ru Zhang, Hong Yu, Fan Min:
Sentiment based matrix factorization with reliability for recommendation. Expert Syst. Appl. 135: 249-258 (2019) - [j39]Yu Fang, Fan Min:
Cost-sensitive approximate attribute reduction with three-way decisions. Int. J. Approx. Reason. 104: 148-165 (2019) - [j38]Yan-Xue Wu, Xue-Yang Min, Fan Min, Min Wang:
Cost-sensitive active learning with a label uniform distribution model. Int. J. Approx. Reason. 105: 49-65 (2019) - [j37]Xiuyi Jia, Zhao Deng, Fan Min, Dun Liu:
Three-way decisions based feature fusion for Chinese irony detection. Int. J. Approx. Reason. 113: 324-335 (2019) - [j36]Min Wang, Yao Lin, Fan Min, Dun Liu:
Cost-sensitive active learning through statistical methods. Inf. Sci. 501: 460-482 (2019) - [j35]Heng-Ru Zhang, Fan Min, Zhi-Heng Zhang, Song Wang:
Efficient collaborative filtering recommendations with multi-channel feature vectors. Int. J. Mach. Learn. Cybern. 10(5): 1165-1172 (2019) - [j34]Fan Min, Fu-Lun Liu, Liu-Ying Wen, Zhi-Heng Zhang:
Tri-partition cost-sensitive active learning through kNN. Soft Comput. 23(5): 1557-1572 (2019) - [c55]Heng-Ru Zhang, Jie Qian, Fan Min:
CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding. IJCRS 2019: 321-330 - [e1]Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci:
Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings. Lecture Notes in Computer Science 11499, Springer 2019, ISBN 978-3-030-22814-9 [contents] - 2018
- [j33]Heng-Ru Zhang, Fan Min, Yan-Xue Wu, Zhuo-Lin Fu, Lei Gao:
Magic barrier estimation models for recommended systems under normal distribution. Appl. Intell. 48(12): 4678-4693 (2018) - [j32]Fu-Lun Liu, Ben-Wen Zhang, Davide Ciucci, Wei-Zhi Wu, Fan Min:
A comparison study of similarity measures for covering-based neighborhood classifiers. Inf. Sci. 448-449: 1-17 (2018) - [j31]Fan Min, Zhi-Heng Zhang, Ji Dong:
Ant colony optimization with partial-complete searching for attribute reduction. J. Comput. Sci. 25: 170-182 (2018) - [j30]Chaodong Tan, Fan Min, Xiao Wu, Xinlun Li:
带弱通配符的模式匹配及其在时序分析中的应用 (Pattern Matching with Weak-wildcard in Application of Time Series Analysis). 计算机科学 45(1): 103-107 (2018) - [c54]Min Wang, Ke Fu, Fan Min:
Active learning through two-stage clustering. FUZZ-IEEE 2018: 1-7 - [c53]Zhuo-Lin Fu, Fan Min, Heng-Ru Zhang:
Recommendation with Generalized Logistic Transformation. ICBK 2018: 390-399 - [c52]Zhi-Heng Zhang, Wen-jie Zhai, Rong-Ping Shen, Sheng-Chao Zeng, Fan Min:
State Transition Pattern with Periodic Wildcard Gaps. ICBK 2018: 440-447 - 2017
- [j29]Liu-Ying Wen, Fan Min, Shi-Yuan Wang:
A two-stage discretization algorithm based on information entropy. Appl. Intell. 47(4): 1169-1185 (2017) - [j28]Min Wang, Fan Min, Zhi-Heng Zhang, Yan-Xue Wu:
Active learning through density clustering. Expert Syst. Appl. 85: 305-317 (2017) - [j27]Heng-Ru Zhang, Fan Min, Bing Shi:
Regression-based three-way recommendation. Inf. Sci. 378: 444-461 (2017) - [j26]Yao Li, Zhi-Heng Zhang, Wen-Bin Chen, Fan Min:
TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating. Int. J. Mach. Learn. Cybern. 8(2): 441-453 (2017) - [j25]Yu Fang, Zhong-Hui Liu, Fan Min:
A PSO algorithm for multi-objective cost-sensitive attribute reduction on numeric data with error ranges. Soft Comput. 21(23): 7173-7189 (2017) - [c51]Yuanyuan Xu, Heng-Ru Zhang, Fan Min:
A Three-Way Recommender System for Popularity-Based Costs. IJCRS (2) 2017: 278-289 - 2016
- [j24]Mei Zheng, Fan Min, Heng-Ru Zhang, Wen-Bin Chen:
Fast Recommendations With the M-Distance. IEEE Access 4: 1464-1468 (2016) - [j23]Chaodong Tan, Fan Min, Min Wang, Heng-Ru Zhang, Zhi-Heng Zhang:
Discovering Patterns With Weak-Wildcard Gaps. IEEE Access 4: 4922-4932 (2016) - [j22]Heng-Ru Zhang, Fan Min:
Three-way recommender systems based on random forests. Knowl. Based Syst. 91: 275-286 (2016) - [j21]Yu Fang, Zhong-Hui Liu, Fan Min:
Multi-objective cost-sensitive attribute reduction on data with error ranges. Int. J. Mach. Learn. Cybern. 7(5): 783-793 (2016) - [c50]Shuang-Bo Sun, Xin-Ling Dong, Lin Zhang, Zhi-Jie Jing, Fan Min:
Time series based interactive recommendation for petroleum drilling safety check. ICMLC 2016: 13-18 - [c49]Xin-Ling Dong, Shuang-Bo Sun, Fan Min, Heng-Ru Zhang:
Hybrid similarities for dynamic interaction recommendation. ICMLC 2016: 433-438 - [c48]Fu-Lun Liu, Fan Min, Liu-Ying Wen, Hong-Jie Wang:
Representative-Based Active Learning with Max-Min Distance. IJCRS 2016: 365-375 - 2015
- [j20]Ben-Wen Zhang, Fan Min, Davide Ciucci:
Representative-based classification through covering-based neighborhood rough sets. Appl. Intell. 43(4): 840-854 (2015) - [j19]Liu-Ying Wen, Fan Min:
A Granular Computing Approach to Symbolic Value Partitioning. Fundam. Informaticae 142(1-4): 337-371 (2015) - [c47]Ji Dong, Huan Yang, Zhi-Heng Zhang, Fan Min:
Parameter learning using ant colony optimization for minimal time cost reduction. ICMLC 2015: 14-19 - [c46]Heng-Ru Zhang, Fan Min, Dominik Slezak, Bing Shi:
Cost-sensitive regression-based recommender system. ICMLC 2015: 253-258 - [c45]Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, Decui Liang, Jiye Liang, Baoxiang Liu, Dun Liu, Jianmin Ma, Duoqian Miao, Fan Min, Jian-Jun Qi, Lin Shang, Jiucheng Xu, Hailong Yang, Jingtao Yao, Yiyu Yao, Hongying Zhang, Yanping Zhang, Yanhui Zhu:
Methods and Practices of Three-Way Decisions for Complex Problem Solving. RSKT 2015: 255-265 - [c44]Yu-Wan He, Heng-Ru Zhang, Fan Min:
A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model. RSKT 2015: 275-285 - 2014
- [j18]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Rough Set Characterization for 2-circuit Matroid. Fundam. Informaticae 129(4): 377-393 (2014) - [j17]Fan Min, Qinghua Hu, William Zhu:
Feature selection with test cost constraint. Int. J. Approx. Reason. 55(1): 167-179 (2014) - [j16]Shiping Wang, William Zhu, Qingxin Zhu, Fan Min:
Characteristic matrix of covering and its application to Boolean matrix decomposition. Inf. Sci. 263: 186-197 (2014) - [j15]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Graph and matrix approaches to rough sets through matroids. Inf. Sci. 288: 1-11 (2014) - [j14]Jinling Cai, William Zhu, Haijun Ding, Fan Min:
An improved artificial bee colony algorithm for minimal time cost reduction. Int. J. Mach. Learn. Cybern. 5(5): 743-752 (2014) - [j13]Jiabin Liu, Fan Min, Hong Zhao, William Zhu:
Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data. Trans. Rough Sets 18: 23-33 (2014) - [c43]Heng-Ru Zhang, Fan Min, Ben-Wen Zhang:
Interactive hybrid recommendation with granule selection. GrC 2014: 362-366 - [c42]Fan Min, William Zhu:
Mining Significant Granular Association Rules for Diverse Recommendation. RSCTC 2014: 120-127 - [c41]Xu He, Fan Min, William Zhu:
Top-N Recommendation Based on Granular Association Rules. RSKT 2014: 194-205 - 2013
- [j12]Shiping Wang, William Zhu, Qingxin Zhu, Fan Min:
Four matroidal structures of covering and their relationships with rough sets. Int. J. Approx. Reason. 54(9): 1361-1372 (2013) - [j11]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Quantitative analysis for covering-based rough sets through the upper approximation number. Inf. Sci. 220: 483-491 (2013) - [j10]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets. J. Appl. Math. 2013: 519173:1-519173:7 (2013) - [j9]Hong Zhao, Fan Min, William Zhu:
Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors. J. Appl. Math. 2013: 754698:1-754698:13 (2013) - [j8]Jianguo Tang, Kun She, Fan Min, William Zhu:
A matroidal approach to rough set theory. Theor. Comput. Sci. 471: 1-11 (2013) - [c40]Xu He, Fan Min, William Zhu:
A comparative study of discretization approaches for granular association rule mining. CCECE 2013: 1-5 - [c39]Fan Min, William Zhu:
Granular association rules for multi-valued data. CCECE 2013: 1-5 - [c38]Fan Min, William Zhu:
Mining top-k granular association rules for recommendation. IFSA/NAFIPS 2013: 1372-1376 - [i8]Fan Min, William Zhu:
Granular association rules for multi-valued data. CoRR abs/1305.1371 (2013) - [i7]Fan Min, William Zhu:
Cold-start recommendation through granular association rules. CoRR abs/1305.1372 (2013) - [i6]Fan Min, William Zhu:
Mining top-k granular association rules for recommendation. CoRR abs/1305.4801 (2013) - 2012
- [j7]Fan Min, Youxi Wu, Xindong Wu:
The Apriori property of sequence pattern mining with wildcard gaps. Int. J. Funct. Informatics Pers. Medicine 4(1): 15-31 (2012) - [j6]Fan Min, William Zhu:
Attribute reduction of data with error ranges and test costs. Inf. Sci. 211: 48-67 (2012) - [j5]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Matroidal structure of rough sets and its characterization to attribute reduction. Knowl. Based Syst. 36: 155-161 (2012) - [c37]Fan Min, William Zhu:
Granular Association Rule Mining through Parametric Rough Sets. Brain Informatics 2012: 320-331 - [c36]Jiabin Liu, Shujiao Liao, Fan Min, William Zhu:
An improved genetic algorithm to minimal test cost reduction. GrC 2012: 304-309 - [c35]Fan Min, Qinghua Hu, William Zhu:
Granular association rules with four subtypes. GrC 2012: 353-358 - [c34]Zilong Xu, Fan Min, Jiabin Liu, William Zhu:
Ant colony optimization to minimal test cost reduction. GrC 2012: 585-590 - [c33]Shiping Wang, William Zhu, Qingxin Zhu, Fan Min:
Characteristics of 2-circuit matroids through rough sets. GrC 2012: 771-774 - [c32]Jiabin Liu, Fan Min, Shujiao Liao, William Zhu:
Minimal Test Cost Feature Selection with Positive Region Constraint. RSCTC 2012: 259-266 - [c31]Fan Min, William Zhu:
A Competition Strategy to Cost-Sensitive Decision Trees. RSKT 2012: 359-368 - [i5]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Boolean matrix decomposition through covering-based rough sets. CoRR abs/1207.0262 (2012) - [i4]Fan Min, Qinghua Hu, William Zhu:
Granular association rules on two universes with four measures. CoRR abs/1209.5598 (2012) - [i3]Fan Min, Qinghua Hu, William Zhu:
Feature selection with test cost constraint. CoRR abs/1209.5601 (2012) - [i2]Zilong Xu, Fan Min, William Zhu:
Cost-sensitive C4.5 with post-pruning and competition. CoRR abs/1211.4122 (2012) - [i1]Xu He, Fan Min, William Zhu:
A Comparative Study of Discretization Approaches for Granular Association Rule Mining. CoRR abs/1212.0190 (2012) - 2011
- [j4]Fan Min, Huaping He, Yuhua Qian, William Zhu:
Test-cost-sensitive attribute reduction. Inf. Sci. 181(22): 4928-4942 (2011) - [c30]Guiying Pan, Fan Min, William Zhu:
Test Cost Constraint Reduction with Common Cost. FGIT 2011: 55-63 - [c29]