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Ensemble Methods for Label Noise Detection Under the Noisy at Random Model.

, , and . BRACIS, page 474-479. IEEE Computer Society, (2018)

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Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning., , and . ICANN (2), volume 6792 of Lecture Notes in Computer Science, page 454-461. Springer, (2011)Ensemble Methods for Label Noise Detection Under the Noisy at Random Model., , and . BRACIS, page 474-479. IEEE Computer Society, (2018)Automatic Information Extraction in Semi-structured Official Journals., , , , , and . SBRN, page 51-56. IEEE Computer Society, (2008)Using Machine Learning Techniques to Combine Forecasting Methods., and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 1122-1127. Springer, (2004)Active Selection of Training Examples for Meta-Learning., and . HIS, page 126-131. IEEE Computer Society, (2007)A Constrained Particle Swarm Optimization Approach for Test Case Selection., , and . SEKE, page 259-264. Knowledge Systems Institute Graduate School, (2010)A Hybrid Machine Learning Approach for Information Extraction., , and . HIS, page 44. IEEE Computer Society, (2006)Ranking and selecting clustering algorithms using a meta-learning approach., , , , , , and . IJCNN, page 3729-3735. IEEE, (2008)Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts., , , , and . HIS, page 417-422. IEEE Computer Society, (2008)Combining Uncertainty Sampling Methods for Active Meta-Learning., and . ISDA, page 220-225. IEEE Computer Society, (2009)