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Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning.

, , , and . IJCNN, page 1-8. IEEE, (2021)

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On utilising social networks to discover representatives of human communities., and . Int. J. Intell. Inf. Database Syst., 1 (3/4): 293-310 (2007)Recommendation Framework for Online Social Networks, and . Advances in Web Intelligence and Data Mining, volume 23 of Studies in Computational Intelligence, page 111-120. Springer, (2006)A degree centrality in multi-layered social network., , , and . CASoN, page 237-242. IEEE, (2011)AutonoML: Towards an Integrated Framework for Autonomous Machine Learning., , and . Found. Trends Mach. Learn., 17 (4): 590-766 (2024)Simulation and Augmentation of Social Networks for Building Deep Learning Models., , and . CoRR, (2019)A Block-based Generative Model for Attributed Networks Embedding., , , , and . CoRR, (2020)NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size., , , and . CoRR, (2020)The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry., , , and . CoRR, (2022)Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia., , , and . CoRR, (2023)Heterogeneous Feature Representation for Digital Twin-Oriented Complex Networked Systems., , and . CoRR, (2023)