The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems D Dellermann, A Calma, N Lipusch, T Weber, S Weigel, P Ebel arXiv preprint arXiv:2105.03354, 2021 | 209 | 2021 |
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 | 56 | 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 | 46 | 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 | 42 | 2018 |
Transfer learning for time series anomaly detection V Vercruyssen, W Meert, J Davis Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning …, 2017 | 37 | 2017 |
Challenges of reliable, realistic and comparable active learning evaluation D Kottke, A Calma, D Huseljic, GM Krempl, B Sick Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning, 2-14, 2017 | 35 | 2017 |
Learning to learn: Dynamic runtime exploitation of various knowledge sources and machine learning paradigms A Calma, D Kottke, B Sick, S Tomforde 2017 IEEE 2nd International Workshops on Foundations and Applications of …, 2017 | 29 | 2017 |
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, ... 2016 IEEE International Conference on Autonomic Computing (ICAC), 315-324, 2016 | 24 | 2016 |
A survey on cost types, interaction schemes, and annotator performance models in selection algorithms for active learning in classification M Herde, D Huseljic, B Sick, A Calma IEEE Access 9, 166970-166989, 2021 | 15 | 2021 |
Simulation of Annotators for Active Learning: Uncertain Oracles. A Calma, B Sick IAL@ PKDD/ECML, 49-58, 2017 | 12 | 2017 |
Active learning with realistic data-a case study A Calma, M Stolz, D Kottke, S Tomforde, B Sick 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 8 | 2018 |
Active sorting–An efficient training of a sorting robot with active learning techniques M Herde, D Kottke, A Calma, M Bieshaar, S Deist, B Sick 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 8 | 2018 |
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 |
Combining self-reported confidences from uncertain annotators to improve label quality C Sandrock, M Herde, A Calma, D Kottke, B Sick 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 5 | 2019 |
The other human in the loop–A pilot study to find selection strategies for active learning D Kottke, A Calma, D Huseljic, C Sandrock, G Kachergis, B Sick 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 4 | 2018 |
Leveraging the potentials of dedicated collaborative interactive learning: Conceptual foundations to overcome uncertainty by human-machine collaboration A Calma, S Oeste-Reiß, B Sick, JM Leimeister Available at SSRN 3116094, 2018 | 4 | 2018 |
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 |
Automated active learning with a robot K Scharei, M Herde, M Bieshaar, A Calma, D Kottke, B Sick Arch. Data Sci., Ser. A 5 (1), 16, 2018 | 3 | 2018 |
Machine learning in organic computing–a brief clarification of terms and concepts M Bieshaar, A Calma, C Gruhl, S Rudolph, A Stein | 3 | 2017 |
Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data T Reitmaier, A Calma, B Sick arXiv preprint arXiv:1610.03995, 2016 | 3 | 2016 |