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Using an attribute conversion approach for sample generation to learn small data with highly uncertain features., , and . Int. J. Prod. Res., 56 (14): 4954-4967 (2018)A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets., , , and . Entropy, 24 (3): 322 (2022)Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions., , and . Int. J. Machine Learning & Cybernetics, 10 (10): 2805-2822 (2019)Learning from small datasets containing nominal attributes., , and . Neurocomputing, (2018)Secure and Privacy-Aware Cloud-Assisted Video Reporting Service in 5G-Enabled Vehicular Networks., , and . IEEE Trans. Veh. Technol., 65 (10): 7868-7881 (2016)Efficient, Secure, and Privacy-Preserving PMIPv6 Protocol for V2G Networks., , , , and . IEEE Trans. Veh. Technol., 68 (1): 19-33 (2019)Situation-Aware QoS Routing Algorithm for Vehicular Ad Hoc Networks., , , and . IEEE Trans. Veh. Technol., 64 (12): 5520-5535 (2015)Deep COLA: A Deep COmpetitive Learning Algorithm for Future Home Energy Management Systems., , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 5 (6): 860-870 (2021)CTRUST: A Dynamic Trust Model for Collaborative Applications in the Internet of Things., , , , , and . IEEE Internet Things J., 6 (3): 5432-5445 (2019)SC-TRUST: A Dynamic Model for Trustworthy Service Composition in the Internet of Things., , , , , and . IEEE Internet Things J., 9 (5): 3298-3312 (2022)