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A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors., , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 397-407. Springer, (2021)An active learning ensemble method for regression tasks., , , , and . Intell. Data Anal., 24 (3): 607-623 (2020)Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme., , , , and . AIAI, volume 559 of IFIP Advances in Information and Communication Technology, page 37-49. Springer, (2019)Combining Active Learning with Self-train algorithm for classification of multimodal problems., , , , and . IISA, page 1-8. IEEE, (2019)A Semisupervised Cascade Classification Algorithm., , , and . Applied Comp. Int. Soft Computing, (2016)Using Active Learning Methods for Predicting Fraudulent Financial Statements., , , and . EANN, volume 744 of Communications in Computer and Information Science, page 351-362. Springer, (2017)Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme., , , , and . Entropy, 21 (10): 988 (2019)Self-Trained LMT for Semisupervised Learning., , , and . Comput. Intell. Neurosci., (2016)Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors., , and . SETN, page 175-184. ACM, (2020)A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update., , , and . PCI, page 21:1-21:5. ACM, (2017)