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Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows.

, , , and . CARLA, volume 485 of Communications in Computer and Information Science, page 83-97. Springer, (2014)

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Learning Relational Descriptions of Differentially Expressed Gene Groups., , , and . IEEE Trans. Syst. Man Cybern. Part C, 38 (1): 16-25 (2008)Efficient Extraction of Network Event Types from NetFlows., and . Secur. Commun. Networks, (2019)Satisfiability Machines.. ILP (Late Breaking Papers), page 113-120. Imperial College Press / World Scientific, (2011)RSD: Relational Subgroup Discovery through First-Order Feature Construction., , and . ILP, volume 2583 of Lecture Notes in Computer Science, page 149-165. Springer, (2002)Ensemble learning of runtime prediction models for gene-expression analysis workflows., , , and . Clust. Comput., 18 (4): 1317-1329 (2015)Beyond graph neural networks with lifted relational neural networks., , and . Mach. Learn., 110 (7): 1695-1738 (2021)Lifted Relational Neural Networks: From Graphs to Deep Relational Learning., , and . Compendium of Neurosymbolic Artificial Intelligence, volume 369 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2023)Relational Data Mining Applied to Virtual Engineering of Product Designs., , , , , , and . ILP, volume 4455 of Lecture Notes in Computer Science, page 439-453. Springer, (2006)Integrating Multiple-Platform Expression Data through Gene Set Features., , , and . ISBRA, volume 5542 of Lecture Notes in Computer Science, page 5-17. Springer, (2009)Learning Predictive Categories Using Lifted Relational Neural Networks., , , , and . ILP, volume 10326 of Lecture Notes in Computer Science, page 108-119. Springer, (2016)