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Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.

, , , , , and . SAC, page 87-96. ACM, (2022)

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On using category experts for improving the performance and accuracy in recommender systems., , , and . CIKM, page 2355-2358. ACM, (2012)Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series., , , , , and . SAC, page 87-96. ACM, (2022)Exploiting trustors as well as trustees in trust-based recommendation., , , and . CIKM, page 1893-1896. ACM, (2013)"Do you know existing accuracy metrics overrate time-series anomaly detections?"., , , and . SAC, page 403-412. ACM, (2022)Post ranking in a blogosphere., and . RACS, page 18-22. ACM, (2014)Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling., , , and . CIKM, page 2241-2244. ACM, (2019)Decoding Single Molecule Time Traces with Dynamic Disorder., , , and . PLoS Comput. Biol., (2016)On computing text-based similarity in scientific literature., , , and . WWW (Companion Volume), page 169-170. ACM, (2011)Yet another paper ranking algorithm advocating recent publications., , , and . WWW, page 1117-1118. ACM, (2010)On Analyzing User Ratings and Directional Trusts in Epinions.com., , and . DASC, page 1218-1221. IEEE Computer Society, (2011)