Markus Goldstein
Markus Goldstein
Ulm University of Applied Sciences
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A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data
M Goldstein, S Uchida
PloS one 11 (4), e0152173, 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
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
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
Automatic classifier selection for non-experts
M Reif, F Shafait, M Goldstein, T Breuel, A Dengel
Pattern Analysis and Applications 17, 83-96, 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
FastLOF: an expectation-maximization based local outlier detection algorithm
M Goldstein
Proceedings of the 21st international conference on pattern recognition …, 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
Anomaly Detection in Large Datasets
M Goldstein
Verlag Dr. Hut, München, 2014
Medical system architecture for interactive transfer and progressive representation of compressed image data
M Goldstein, N Strobel
US Patent 7,602,950, 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
Unsupervised anomaly detection benchmark
M Goldstein
Harvard Dataverse 1, 2015
Enhancing Security Event Management Systems with Unsupervised Anomaly Detection.
M Goldstein, S Asanger, M Reif, A Hutchison
ICPRAM, 530-538, 2013
Landmarking for meta-learning using RapidMiner
SD Abdelmessih, F Shafait, M Reif, M Goldstein
RapidMiner community meeting and conference, 2010
Behavior analysis using unsupervised anomaly detection
M Goldstein, S Uchida
The 10th Joint Workshop on Machine Perception and Robotics (MPR 2014). Online, 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
Anomaly detection
M Goldstein
RapidMiner–Data Mining Use Cases and Business Analytics Applications, 2014
Special issue on unsupervised anomaly detection
M Goldstein
Applied Sciences 13 (10), 5916, 2023
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
A Comparative Study on Outlier Removal from a Large-scale Dataset using Unsupervised Anomaly Detection.
M Goldstein, S Uchida
ICPRAM, 263-269, 2016
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