| Fuzzy rule-based oversampling technique for imbalanced and incomplete data learning G Liu, Y Yang, B Li Knowledge-Based Systems 158, 154-174, 2018 | 43 | 2018 |
| An improved fuzzy classifier for imbalanced data D Yan, Y Yang, B Li Journal of Intelligent & Fuzzy Systems 32 (3), 2315-2325, 2017 | 10 | 2017 |
| Complexity of concept classes induced by discrete Markov networks and Bayesian networks B Li, Y Yang Pattern Recognition 82, 31-37, 2018 | 7 | 2018 |
| Intrinsic dimension estimation based on local adjacency information H Qiu, Y Yang, B Li Information Sciences 558, 21-33, 2021 | 5 | 2021 |
| Exact test of goodness of fit for binomial distribution B Li, L Fu Statistical papers 59, 851-860, 2018 | 5 | 2018 |
| Improving data quality with label noise correction B Li, Q Gao Intelligent Data Analysis 23 (4), 737-757, 2019 | 4 | 2019 |
| A simplification of computing Markov bases for graphical models whose underlying graphs are suspensions of graphs S Cai, B Li, J Guo Statistica Sinica 24 (1), 447-461, 2014 | 2 | 2014 |
| A note on faithfulness and total positivity B Li, Y Li Statistics & Probability Letters 122, 168-172, 2017 | | 2017 |
| Decomposition of two classes of structural models B Li, J Guo Frontiers of Mathematics in China 8, 1323-1349, 2013 | | 2013 |
| A computational algebraic-geometry method for conditional-independence inference B Li, S Cai, J Guo Frontiers of Mathematics in China 8, 567-582, 2013 | | 2013 |
| A note on one-factor analysis B Li, J Guo Statistics & Probability Letters 82 (11), 1949-1952, 2012 | | 2012 |
