Metric Learning with Self-Adjusting Memory for Explaining Feature Drift - researchr publication related

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Johannes Kummert, Alexander Schulz 0001, Barbara Hammer. Metric Learning with Self-Adjusting Memory for Explaining Feature Drift. SN Computer Science, 4(4):376, July 2023. [doi]

The following publications are possibly variants of this publication:

Memory management for self-adjusting computationMatthew Hammer, Umut A. Acar. iwmm 2008: 51-60 [doi]

Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data StreamsMartha Roseberry, Alberto Cano 0001. pkdd 2018: 23-37 [doi]

Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data StreamsMartha Roseberry, Bartosz Krawczyk, Alberto Cano 0001. tkdd, 13(6), 2019. [doi]

Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept DriftViktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet. ijcnn 2020: 1-8 [doi]

KNN Classifier with Self Adjusting Memory for Heterogeneous Concept DriftViktor Losing, Barbara Hammer, Heiko Wersing. icdm 2016: 291-300 [doi]

Self-Adjusting Memory: How to Deal with Diverse Drift TypesViktor Losing, Barbara Hammer, Heiko Wersing. IJCAI 2017: 4899-4903 [doi]

Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)Viktor Losing, Barbara Hammer, Heiko Wersing. kais, 54(1):171-201, 2018. [doi]

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