| 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 | 63 | 2013 |
| 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 |
| From active learning to dedicated collaborative interactive learning A Calma, JM Leimeister, P Lukowicz, S Oeste-Reiß, T Reitmaier, ... ARCS 2016; 29th International Conference on Architecture of Computing …, 2016 | 48 | 2016 |
| Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data A Calma, T Reitmaier, B Sick Information Sciences 456, 13-33, 2018 | 47 | 2018 |
| The responsibility weighted Mahalanobis kernel for semi-supervised training of support vector machines for classification T Reitmaier, B Sick Information Sciences 323, 179-198, 2015 | 39 | 2015 |
| Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments–Opportunistic Collaborative Interactive Learning G Bahle, A Calma, JM Leimeister, P Lukowicz, S Oeste-Reiß, T Reitmaier, ... | 24 | 2016 |
| Processing short-term and long-term information with a combination of polynomial approximation techniques and time-delay neural networks E Fuchs, C Gruber, T Reitmaier, B Sick IEEE Transactions on Neural Networks 20 (9), 1450-1462, 2009 | 21 | 2009 |
| Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformationen T Reitmaier Ausgezeichnete Informatikdissertationen 2015 16 (2015), 239--248, 2016 | 19 | 2016 |
| Active classifier training with the 3DS strategy T Reitmaier, B Sick 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 88-95, 2011 | 13 | 2011 |
| Resp-kNN: A semi-supervised classifier for sparsely labeled data in the field of organic computing T Reitmaier, A Calma Organic Computing: Doctoral Dissertation Colloquium, 85-99, 2014 | 6 | 2014 |
| A new vision of collaborative active learning A Calma, T Reitmaier, B Sick, P Lukowicz, M Embrechts arXiv preprint arXiv:1504.00284, 2015 | 4 | 2015 |
| Resp-knn: A probabilistic K-nearest neighbor classifier for sparsely labeled data A Calma, T Reitmaier, B Sick 2016 International Joint Conference on Neural Networks (IJCNN), 4040-4047, 2016 | 1 | 2016 |
Bernhard SickProfessor of Intelligent Embedded Systems, University of KasselVerified email at uni-kassel.de
