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On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey.

, , , , and . IEEE Access, (2019)

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Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract., , , , , , and . Meta-Knowledge Transfer @ ECML/PKDD, volume 191 of Proceedings of Machine Learning Research, page 81-83. PMLR, (2022)Experiment databases: Creating a new platform for meta-learning research, , , and . Proceedings of the ICML/UAI/COLT Joint Planning to Learn Workshop (PlanLearn08), page 10-15. (2008)Big Data with ADAMS., and . BigMine, volume 41 of JMLR Workshop and Conference Proceedings, page 5-8. JMLR.org, (2015)Security and Data Accountability in Distributed Systems: A Provenance Survey., , and . HPCC/EUC, page 1571-1578. IEEE, (2013)Developing data mining applications.. KDD, page 225. ACM, (2012)Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them., , , , and . ECML/PKDD (1), volume 8188 of Lecture Notes in Computer Science, page 465-479. Springer, (2013)New ensemble methods for evolving data streams, , , , and . KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, page 139--148. New York, NY, USA, ACM, (2009)On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey., , , , and . IEEE Access, (2019)Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data., , , and . IDA, volume 7619 of Lecture Notes in Computer Science, page 313-323. Springer, (2012)Efficient Online Evaluation of Big Data Stream Classifiers., , , , and . KDD, page 59-68. ACM, (2015)