| Deep Learning for solar power forecasting—An approach using AutoEncoder and LSTM Neural Networks A Gensler, J Henze, B Sick, N Raabe 2016 IEEE international conference on systems, man, and cybernetics (SMC …, 2016 | 726 | 2016 |
| On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research B Sick Mechanical Systems and Signal Processing 16 (4), 487-546, 2002 | 584 | 2002 |
| Online signature verification with support vector machines based on LCSS kernel functions C Gruber, T Gruber, S Krinninger, B Sick IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010 | 178 | 2010 |
| Evolutionary optimization of radial basis function classifiers for data mining applications O Buchtala, M Klimek, B Sick Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 35 …, 2005 | 173 | 2005 |
| Online segmentation of time series based on polynomial least-squares approximations E Fuchs, T Gruber, J Nitschke, B Sick IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (12), 2232 …, 2010 | 159 | 2010 |
| Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar N Scheiner, F Kraus, F Wei, B Phan, F Mannan, N Appenrodt, W Ritter, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 125 | 2020 |
| Online intrusion alert aggregation with generative data stream modeling A Hofmann, B Sick IEEE transactions on dependable and secure computing 8 (2), 282-294, 2011 | 89 | 2011 |
| Trajectory prediction of cyclists using a physical model and an artificial neural network S Zernetsch, S Kohnen, M Goldhammer, K Doll, B Sick 2016 IEEE Intelligent Vehicles Symposium (IV), 833-838, 2016 | 80 | 2016 |
| Organic Computing in the Spotlight S Tomforde, B Sick, C Müller-Schloer arXiv preprint arXiv:1701.08125, 2017 | 79 | 2017 |
| On-line motif detection in time series with SwiftMotif E Fuchs, T Gruber, J Nitschke, B Sick Pattern Recognition 42 (11), 3015-3031, 2009 | 74 | 2009 |
| Engineering and mastering interwoven systems S Tomforde, J Hähner, H Seebach, W Reif, B Sick, A Wacker, I Scholtes ARCS 2014; 2014 Workshop Proceedings on Architecture of Computing Systems, 1-8, 2014 | 72 | 2014 |
| On the versatility of radial basis function neural networks: A case study in the field of intrusion detection D Fisch, A Hofmann, B Sick Information Sciences 180 (12), 2421-2439, 2010 | 68 | 2010 |
| Feature selection for intrusion detection: an evolutionary wrapper approach A Hofmann, T Horeis, B Sick 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 68 | 2004 |
| Evolutionary optimization of radial basis function networks for intrusion detection A Hofmann, B Sick Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003 | 66 | 2003 |
| Intentions of Vulnerable Road Users--Detection and Forecasting by Means of Machine Learning M Goldhammer, S Köhler, S Zernetsch, K Doll, B Sick, K Dietmayer IEEE Transactions on Intelligent Transportation Systems, 2019 | 65 | 2019 |
| Let us know your decision: pool-based active training of a generative classifier with the selection strategy 4DS T Reitmaier, B Sick Information Sciences 230, 106-131, 2013 | 62 | 2013 |
| Quantitative emergence--A refined approach based on divergence measures D Fisch, M Jänicke, B Sick, C Müller-Schloer 2010 Fourth IEEE International Conference on Self-Adaptive and Self …, 2010 | 62 | 2010 |
| Wave-front reconstruction with a Shack-Hartmann sensor with an iterative spline fitting method S Groening, B Sick, K Donner, J Pfund, N Lindlein, J Schwider Applied Optics 39 (4), 561-567, 2000 | 58 | 2000 |
| Transductive active learning–A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data T Reitmaier, A Calma, B Sick Information Sciences 293, 275-298, 2015 | 57 | 2015 |
| Temporal data mining using shape space representations of time series E Fuchs, T Gruber, H Pree, B Sick Neurocomputing 74 (1-3), 379-393, 2010 | 57 | 2010 |
Sven TomfordeUniversität Kiel, Intelligent Systems在 informatik.uni-kiel.de 的电子邮件经过验证
