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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition, and . Morgan Kaufmann, San Francisco, (1999)XGBoost: Scalable GPU Accelerated Learning., , , and . CoRR, (2018)Naive Bayes for Text Classification with Unbalanced Classes., and . PKDD, volume 4213 of Lecture Notes in Computer Science, page 503-510. Springer, (2006)A review of multi-instance learning assumptions., and . Knowledge Eng. Review, 25 (1): 1-25 (2010)Propositionalisation of Multi-instance Data Using Random Forests., and . Australasian Conference on Artificial Intelligence, volume 8272 of Lecture Notes in Computer Science, page 362-373. Springer, (2013)Improving on Bagging with Input Smearing., and . PAKDD, volume 3918 of Lecture Notes in Computer Science, page 97-106. Springer, (2006)Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets., , and . IJCAI, page 1229-1235. AAAI Press, (2015)Adaptive XGBoost for Evolving Data Streams., , , , , and . IJCNN, page 1-8. IEEE, (2020)Sampling Permutations for Shapley Value Estimation., , , and . J. Mach. Learn. Res., (2022)Accelerating the XGBoost algorithm using GPU computing., and . PeerJ Comput. Sci., (2017)