2 papers
cs.CV2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef, Marcel Ackermann, Unmesh Kurup +1
Unsupervised Anomaly detection (AD) requires building a notion of normalcy, distinguishing in-distribution (ID) and out-of-distribution (OOD) data, using only available ID samples.…
cs.DL2018
Homonym Detection in Curated Bibliographies: Learning from dblp's Experience (full version)
Marcel R. Ackermann, Florian Reitz
Identifying (and fixing) homonymous and synonymous author profiles is one of the major tasks of curating personalized bibliographic metadata repositories like the dblp computer sci…