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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)A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems., , and . Algorithms, 13 (1): 26 (2020)Combining Active Learning with Self-train algorithm for classification of multimodal problems., , , , and . IISA, page 1-8. IEEE, (2019)Polarity, emotions and online activity of students and tutors as features in predicting grades., , , , and . Intell. Decis. Technol., 14 (3): 409-436 (2020)IoT-Enabled Crop Recommendation in Smart Agriculture Using Machine Learning., , , and . IISA, page 1-4. IEEE, (2023)IoT Device Identification Using a Meta-Ensemble Multi-Class Classifier., , , and . IISA, page 1-4. IEEE, (2023)Special Issue on Machine Learning and AI for Sensors., , and . Sensors, 23 (5): 2770 (March 2023)An effective LA approach to predict student achievement., , , and . PCI, page 76-81. ACM, (2018)Energy Balance Forecasting: An Extensive Multivariate Regression Models Comparison., and . SETN, page 41:1-41:7. ACM, (2022)