Deep one-class classification L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
2546 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
1005 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
731 2020 Toward supervised anomaly detection N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
525 2013 lp -Norm Multiple Kernel LearningM Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
474 2011 Multiple kernel 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
436 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
414 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
359 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
283 2019 Explainable deep one-class classification P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller
International Conference on Learning Representations (ICLR), 2021
264 2021 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
263 2021 Online anomaly detection under adversarial impact M Kloft, P Laskov
Proceedings of the thirteenth international conference on artificial …, 2010
209 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
204 2020 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
154 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
139 2021 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
135 2008 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
124 2019 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
112 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
111 2021 Learning kernels using local rademacher complexity C Cortes, M Kloft, M Mohri
Advances in neural information processing systems 26, 2013
110 2013 
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail verificata su tu-berlin.de