Követés
Marius Kloft
Marius Kloft
Professor, RPTU Kaiserslautern-Landau
E-mail megerősítve itt: cs.uni-kl.de - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
27232018
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
11032021
Deep semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
International conference on learning representations (ICLR), 2020
7752020
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
5442013
lp-Norm Multiple Kernel Learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
4782011
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
4492020
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
4182014
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
3592009
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
2952019
Explainable deep one-class classification
P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller
International Conference on Learning Representations (ICLR), 2021
2852021
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
2812021
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
2172020
Online anomaly detection under adversarial impact
M Kloft, P Laskov
Proceedings of the thirteenth international conference on artificial …, 2010
2112010
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
1752021
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
1582021
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
1352008
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
1292019
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
1202021
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
1162018
Rethinking assumptions in deep anomaly detection
L Ruff, RA Vandermeulen, BJ Franks, KR Müller, M Kloft
arXiv preprint arXiv:2006.00339, 2020
1102020
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20