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Marius Kloft
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Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
10652018
lp-Norm Multiple Kernel Learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
4302011
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
3712013
Efficient and accurate lp-norm multiple kernel learning
M Kloft, U Brefeld, P Laskov, KR Müller, A Zien, S Sonnenburg
Advances in neural information processing systems 22, 2009
3472009
Predicting MOOC dropout over weeks using machine learning methods
M Kloft, F Stiehler, Z Zheng, N Pinkwart
Proceedings of the EMNLP 2014 workshop on analysis of large scale social …, 2014
3262014
A unifying review of deep and shallow anomaly detection
L Ruff, JR Kauffmann, RA Vandermeulen, G Montavon, W Samek, M Kloft, ...
Proceedings of the IEEE 109 (5), 756-795, 2021
2892021
Deep semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
International conference on learning representations (ICLR), 2020
2812020
Multiple kernel k-means with incomplete kernels
X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao
IEEE transactions on pattern analysis and machine intelligence 42 (5), 1191-1204, 2020
2492020
Image anomaly detection with generative adversarial networks
L Deecke, R Vandermeulen, L Ruff, S Mandt, M Kloft
Joint european conference on machine learning and knowledge discovery in …, 2018
1672018
Online anomaly detection under adversarial impact
M Kloft, P Laskov
Proceedings of the thirteenth international conference on artificial …, 2010
1632010
Non-sparse multiple kernel learning
M Kloft, U Brefeld, P Laskov, S Sonnenburg
NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels 4, 5, 2008
1252008
Efficient and effective regularized incomplete multi-view clustering
X Liu, M Li, C Tang, J Xia, J Xiong, L Liu, M Kloft, E Zhu
IEEE transactions on pattern analysis and machine intelligence, 2021
942021
Learning kernels using local rademacher complexity
C Cortes, M Kloft, M Mohri
Advances in neural information processing systems 26, 2013
942013
Security analysis of online centroid anomaly detection
M Kloft, P Laskov
The Journal of Machine Learning Research 13 (1), 3681-3724, 2012
892012
Active learning for network intrusion detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Proceedings of the 2nd ACM workshop on Security and artificial intelligence …, 2009
892009
Explainable deep one-class classification
P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller
International Conference on Learning Representations (ICLR), 2021
832021
Mixed kernel based extreme learning machine for electric load forecasting
Y Chen, M Kloft, Y Yang, C Li, L Li
Neurocomputing 312, 90-106, 2018
802018
A framework for quantitative security analysis of machine learning
P Laskov, M Kloft
Proceedings of the 2nd ACM workshop on Security and artificial intelligence, 1-4, 2009
732009
Hidden markov anomaly detection
N Görnitz, M Braun, M Kloft
International conference on machine learning, 1833-1842, 2015
662015
Automatic feature selection for anomaly detection
M Kloft, U Brefeld, P Düessel, C Gehl, P Laskov
Proceedings of the 1st ACM workshop on Workshop on AISec, 71-76, 2008
652008
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