Marius Kloft
Marius Kloft
Bestätigte E-Mail-Adresse bei cs.uni-kl.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
lp-Norm Multiple Kernel Learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
4082011
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, 997-1005, 2009
3112009
Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
3002018
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
2362014
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
2292013
Online anomaly detection under adversarial impact
M Kloft, P Laskov
Proceedings of the thirteenth international conference on artificial …, 2010
1182010
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
1182008
Multiple Kernel -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, 2019
982019
Learning kernels using local rademacher complexity
C Cortes, M Kloft, M Mohri
Advances in neural information processing systems 26, 2760-2768, 2013
822013
Security analysis of online centroid anomaly detection
M Kloft, P Laskov
The Journal of Machine Learning Research 13 (1), 3681-3724, 2012
692012
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
652018
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
652009
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
652009
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
592008
A unifying view of multiple kernel learning
M Kloft, U Rückert, PL Bartlett
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
552010
Deep semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
arXiv preprint arXiv:1906.02694, 2019
512019
The local rademacher complexity of lp-norm multiple kernel learning
M Kloft, G Blanchard
Advances in Neural Information Processing Systems, 2438-2446, 2011
502011
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
472018
Hidden markov anomaly detection
N Görnitz, M Braun, M Kloft
International conference on machine learning, 1833-1842, 2015
472015
Multi-class svms: From tighter data-dependent generalization bounds to novel algorithms
Y Lei, U Dogan, A Binder, M Kloft
Advances in Neural Information Processing Systems 28, 2035-2043, 2015
442015
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