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Ensemble Convolutional Neural Networks With Knowledge Transfer for Leather Defect Classification in Industrial Settings.

, , , , и . IEEE Access, (2020)

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Geoff Cutts

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Security and Data Accountability in Distributed Systems: A Provenance Survey., , и . HPCC/EUC, стр. 1571-1578. IEEE, (2013)Developing data mining applications.. KDD, стр. 225. ACM, (2012)Big Data with ADAMS., и . BigMine, том 41 из JMLR Workshop and Conference Proceedings, стр. 5-8. JMLR.org, (2015)Experiment databases: Creating a new platform for meta-learning research, , , и . Proceedings of the ICML/UAI/COLT Joint Planning to Learn Workshop (PlanLearn08), стр. 10-15. (2008)Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract., , , , , , и . Meta-Knowledge Transfer @ ECML/PKDD, том 191 из Proceedings of Machine Learning Research, стр. 81-83. PMLR, (2022)Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them., , , , и . ECML/PKDD (1), том 8188 из Lecture Notes in Computer Science, стр. 465-479. Springer, (2013)New ensemble methods for evolving data streams, , , , и . KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, стр. 139--148. New York, NY, USA, ACM, (2009)Efficient Online Evaluation of Big Data Stream Classifiers., , , , и . KDD, стр. 59-68. ACM, (2015)Streaming Multi-label Classification., , , и . WAPA, том 17 из JMLR Proceedings, стр. 19-25. JMLR.org, (2011)Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data., , , и . IDA, том 7619 из Lecture Notes in Computer Science, стр. 313-323. Springer, (2012)