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An application of machine learning and statistics to defect detection.

, , , and . Intell. Data Anal., 5 (2): 151-164 (2001)

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Expectation Maximization in Deep Probabilistic Logic Programming., , and . AI*IA, volume 11298 of Lecture Notes in Computer Science, page 293-306. Springer, (2018)Introducing Abduction into (Extensional) Inductive Logic Programming Systems., , , and . AI*IA, volume 1321 of Lecture Notes in Computer Science, page 183-194. Springer, (1997)Inference with Logic Programs with Annotated Disjunctions under the Well Founded Semantics.. ICLP, volume 5366 of Lecture Notes in Computer Science, page 667-671. Springer, (2008)ALLPAD: approximate learning of logic programs with annotated disjunctions.. Mach. Learn., 70 (2-3): 207-223 (2008)Belief Revision via Lamarckian Evolution., , and . IC-AI, page 1264-1270. CSREA Press, (2002)Guest-editorial: 25 years of AI*IA., , and . Intelligenza Artificiale, 7 (2): 69 (2013)Bayesian Networks Learning for Gene Expression Datasets., , , , and . IDA, volume 3646 of Lecture Notes in Computer Science, page 109-120. Springer, (2005)Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters., , and . SoftwareX, (2022)Learning specifications of interaction protocols and business processes and proving their properties., , , , and . Intelligenza Artificiale, 5 (1): 71-75 (2011)Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018., , , , and . Mach. Learn., 108 (7): 1057-1059 (2019)