| The impact of long-term PM 2.5 exposure on specific causes of death: exposure-response curves and effect modification among 53 million US Medicare beneficiaries B Wang, KD Eum, F Kazemiparkouhi, C Li, J Manjourides, V Pavlu, H Suh Environmental Health 19 (1), 1-12, 2020 | 108 | 2020 |
| A Gentle Introduction to Gradient Boosting C Li URL: http://www. ccs. neu. edu/home/vip/teach/MLcourse/4_ boosting/slides …, 2014 | 78 | 2014 |
| Conditional Bernoulli Mixtures for Multi-Label Classification C Li, B Wang, V Pavlu, JA Aslam Proceedings of the 33rd International Conference on Machine Learning, 2016 | 65 | 2016 |
| Adapting RNN Sequence Prediction Model to Multi-label Set Prediction K Qin, C Li, V Pavlu, JA Aslam arXiv preprint arXiv:1904.05829, 2019 | 31 | 2019 |
| Improving Query Graph Generation for Complex Question Answering over Knowledge Base K Qin, C Li, V Pavlu, J Aslam Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 20 | 2021 |
| On the distributivity of fuzzy implications over continuous Archimedean t-conorms and continuous t-conorms given as ordinal sums A Xie, H Liu, F Zhang, C Li Fuzzy Sets and Systems 205, 76-100, 2012 | 20 | 2012 |
| Distributive equations of fuzzy implications based on continuous triangular conorms given as ordinal sums A Xie, C Li, H Liu IEEE Transactions on Fuzzy Systems 21 (3), 541-554, 2012 | 18 | 2012 |
| Extension of a class of decomposable measures using fuzzy pseudometrics D Qiu, W Zhang, C Li Fuzzy Sets and Systems 222, 33-44, 2013 | 15 | 2013 |
| A Pipeline for Optimizing F1-Measure in Multi-label Text Classification B Wang, C Li, V Pavlu, J Aslam 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 14 | 2018 |
| On decomposable measures constructed by using stationary fuzzy pseudo-ultrametrics D Qiu, W Zhang, C Li International Journal of General Systems 42 (4), 395-404, 2013 | 12 | 2013 |
| Regularizing Model Complexity and Label Structure for Multi-Label Text Classification B Wang, C Li, V Pavlu, J Aslam arXiv preprint arXiv:1705.00740, 2017 | 10 | 2017 |
| Fully implicational methods for interval-valued fuzzy reasoning with multi-antecedent rules HW Liu, C Li International Journal of Computational Intelligence Systems 4 (5), 929-945, 2011 | 9 | 2011 |
| A Complex KBQA System using Multiple Reasoning Paths K Qin, Y Wang, C Li, K Gunaratna, H Jin, V Pavlu, JA Aslam arXiv preprint arXiv:2005.10970, 2020 | 8 | 2020 |
| Learning to calibrate and rerank multi-label predictions C Li, V Pavlu, J Aslam, B Wang, K Qin Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 5 | 2019 |
| An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis C Li, B Wang, V Pavlu, JA Aslam Advances in Information Retrieval, 72-87, 2016 | 5 | 2016 |
| Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification Y Kim, C Li, B Ye, A Tahmasebi, J Aslam arXiv preprint arXiv:2103.07808, 2021 | 2 | 2021 |
| Correction and improvement on several results in quantitative logic C Li, HW Liu, GJ Wang Information Sciences 278, 555-558, 2014 | 2 | 2014 |
| On nonlinear functional spaces based on triangular conorms D Qiu, W Zhang, C Li Journal of Mathematical Analysis and Applications 397 (2), 671-677, 2013 | 1 | 2013 |
| Reduction Methods for Multi-Label Classification C Li Northeastern University, 2019 | | 2019 |
Virgil PavluNortheastern UniversityVerified email at ccs.neu.edu
