Marius Kloft
Marius Kloft
Professor, RPTU Kaiserslautern-Landau
Verified email at - Homepage
Cited by
Cited by
Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
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
Deep semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
International conference on learning representations (ICLR), 2020
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
lp-Norm Multiple Kernel Learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
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
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
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
Image anomaly detection with generative adversarial networks
L Deecke, R Vandermeulen, L Ruff, S Mandt, M Kloft
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
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
Explainable deep one-class classification
P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller
International Conference on Learning Representations (ICLR), 2021
Online anomaly detection under adversarial impact
M Kloft, P Laskov
Proceedings of the thirteenth international conference on artificial …, 2010
Cloze test helps: Effective video anomaly detection via learning to complete video events
G Yu, S Wang, Z Cai, E Zhu, C Xu, J Yin, M Kloft
Proceedings of the 28th ACM international conference on multimedia, 583-591, 2020
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
Machine learning in chemical engineering: A perspective
AM Schweidtmann, E Esche, A Fischer, M Kloft, JU Repke, S Sager, ...
Chemie Ingenieur Technik 93 (12), 2029-2039, 2021
Neural transformation learning for deep anomaly detection beyond images
C Qiu, T Pfrommer, M Kloft, S Mandt, M Rudolph
International conference on machine learning, 8703-8714, 2021
Effective end-to-end unsupervised outlier detection via inlier priority of discriminative network
S Wang, Y Zeng, X Liu, E Zhu, J Yin, C Xu, M Kloft
Advances in neural information processing systems 32, 2019
Learning kernels using local rademacher complexity
C Cortes, M Kloft, M Mohri
Advances in neural information processing systems 26, 2013
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
Multiview subspace clustering via co-training robust data representation
J Liu, X Liu, Y Yang, X Guo, M Kloft, L He
IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5177-5189, 2021
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