| A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data M Goldstein, S Uchida PloS one 11 (4), e0152173, 2016 | 1250 | 2016 |
| Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm M Goldstein, A Dengel KI-2012: poster and demo track 1, 59-63, 2012 | 702 | 2012 |
| Enhancing one-class support vector machines for unsupervised anomaly detection M Amer, M Goldstein, S Abdennadher Proceedings of the ACM SIGKDD workshop on outlier detection and description …, 2013 | 553 | 2013 |
| Nearest-neighbor and clustering based anomaly detection algorithms for rapidminer M Amer, M Goldstein Proc. of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012), 1-12, 2012 | 199 | 2012 |
| Automatic classifier selection for non-experts M Reif, F Shafait, M Goldstein, T Breuel, A Dengel Pattern Analysis and Applications 17, 83-96, 2014 | 184 | 2014 |
| Document authentication using printing technique features and unsupervised anomaly detection J Gebhardt, M Goldstein, F Shafait, A Dengel 2013 12th International conference on document analysis and recognition, 479-483, 2013 | 69 | 2013 |
| FastLOF: an expectation-maximization based local outlier detection algorithm M Goldstein Proceedings of the 21st international conference on pattern recognition …, 2012 | 60 | 2012 |
| Anomaly detection by combining decision trees and parametric densities M Reif, M Goldstein, A Stahl, TM Breuel 2008 19th international conference on pattern recognition, 1-4, 2008 | 53 | 2008 |
| Anomaly Detection in Large Datasets M Goldstein Verlag Dr. Hut, München, 2014 | 46 | 2014 |
| Medical system architecture for interactive transfer and progressive representation of compressed image data M Goldstein, N Strobel US Patent 7,602,950, 2009 | 43 | 2009 |
| Bayes optimal ddos mitigation by adaptive history-based ip filtering M Goldstein, C Lampert, M Reif, A Stahl, T Breuel Seventh International Conference on Networking (ICN 2008), 174-179, 2008 | 35 | 2008 |
| Unsupervised anomaly detection benchmark M Goldstein Harvard Dataverse 1, 2015 | 32 | 2015 |
| Enhancing Security Event Management Systems with Unsupervised Anomaly Detection. M Goldstein, S Asanger, M Reif, A Hutchison ICPRAM, 530-538, 2013 | 30 | 2013 |
| Landmarking for meta-learning using RapidMiner SD Abdelmessih, F Shafait, M Reif, M Goldstein RapidMiner community meeting and conference, 2010 | 23 | 2010 |
| Behavior analysis using unsupervised anomaly detection M Goldstein, S Uchida The 10th Joint Workshop on Machine Perception and Robotics (MPR 2014). Online, 2014 | 20 | 2014 |
| High performance traffic shaping for DDoS mitigation M Goldstein, M Reif, A Stahl, T Breuel Proceedings of the 2008 ACM CoNEXT conference, 1-2, 2008 | 13 | 2008 |
| Special issue on unsupervised anomaly detection M Goldstein Applied Sciences 13 (10), 5916, 2023 | 7 | 2023 |
| Anomaly detection M Goldstein RapidMiner–Data Mining Use Cases and Business Analytics Applications, 2014 | 7 | 2014 |
| Server-side prediction of source IP addresses using density estimation M Goldstein, M Reif, A Stahl, T Breuel 2009 International Conference on Availability, Reliability and Security, 82-89, 2009 | 6 | 2009 |
| A Comparative Study on Outlier Removal from a Large-scale Dataset using Unsupervised Anomaly Detection. M Goldstein, S Uchida ICPRAM, 263-269, 2016 | 5 | 2016 |
Seiichi UchidaKyushu UniversityVerified email at ait.kyushu-u.ac.jp
