Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data

Ryan Dave, Juan S. Angarita-Zapata, Isaac Triguero. Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. In Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar R. Weippl, editors, Machine Learning and Knowledge Extraction - 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 - September 1, 2023, Proceedings. Volume 14065 of Lecture Notes in Computer Science, pages 82-102, Springer, 2023. [doi]

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