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 | 41 | 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 | 33 | 2016 |
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 Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019 | 26 | 2019 |
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 | 24 | 2018 |
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 | 19 | 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 | 19 | 2016 |
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 | 14 | 2017 |
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 | 5 | 2014 |
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 | 4 | 2018 |
Simulation of Annotators for Active Learning: Uncertain Oracles. A Calma, B Sick IAL@ PKDD/ECML, 49-58, 2017 | 4 | 2017 |
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 |
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 | 3 | 2018 |
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 | 2 | 2018 |
Machine learning in organic computing–a brief clarification of terms and concepts M Bieshaar, A Calma, C Gruhl, S Rudolph, A Stein | 2 | 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 | 2 | 2016 |
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 | 1 | 2018 |
A concept for productivity tracking based on collaborative interactive learning techniques A Calma, J Kuhn, JM Leimeister, P Lukowicz, S Oeste-Reiß, A Schmidt, ... ARCS Workshop 2018; 31th International Conference on Architecture of …, 2018 | 1 | 2018 |
Decision Support with Hybrid Intelligence A Calma, D Dellermann | 1 | 2018 |
Active Learning with Uncertain Annotators A Calma kassel university press, 2020 | | 2020 |
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 | | 2019 |