Combining content and collaboration in text filtering, IJCAI99 Workshop: Machine Learning for Information Filtering, pp.86-91, 1999. ,
Using contextual features and multi-view ensemble learning in product defect identification from online discussion forums, J]. Decision Support Systems, vol.105, pp.1-12, 2018. ,
Opinion mining using ensemble text hidden Markov models for text classification ,
, Expert Systems with Applications, vol.94, pp.218-227, 2018.
An Effective Approach for Chinese News Headline Classification Based on Multi-representation Mixed Model with Attention and Ensemble Learning, National CCF Conference on Natural Language Processing and Chinese Computing, pp.339-350, 2017. ,
Boosting and Rocchio applied to text filtering, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, pp.215-223, 1998. ,
The SMART retrieval system: experiments in automatic document processing, pp.313-323, 1971. ,
The strength of weak learnability ,
, Machine Learning, vol.5, pp.197-227, 1990.
A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches ,
, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 42.4, pp.463-484, 2012.
, Experiments With a New Boosting Algorithm. In: 13th ICML, pp.148-156, 1996.
Bagging predictors ,
, Machine Learning, vol.24, pp.123-140, 1996.
Term-weighting approaches in automatic text retrieval, vol.24, pp.513-523, 1988. ,
Feature selection for text categorization on imbalanced data ,
, ACM Sigkdd Explorations Newsletter. 6, vol.1, pp.80-89, 2004.
Stochastic sensitivity oversampling technique for imbalanced data, International Conference on Machine Learning and Cybernetics, pp.161-171, 2014. ,