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Adrian Calma
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2020 – today
- 2021
- [j3]Marek Herde
, Denis Huseljic
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. IEEE Access 9: 166970-166989 (2021) - [i4]Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, Philipp Ebel:
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems. CoRR abs/2105.03354 (2021) - [i3]Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma:
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. CoRR abs/2109.11301 (2021) - 2020
- [b1]Adrian Calma:
Active learning with uncertain annotators: towards dedicated collaborative interactive learning. University of Kassel, Germany, 2020, ISBN 978-3-7376-0874-9, pp. 1-150 - [e3]Daniel Kottke, Georg Krempl, Vincent Lemaire, Andreas Holzinger, Adrian Calma:
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), Ghent, Belgium, September 14th, 2020. CEUR Workshop Proceedings 2660, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [c11]Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, Philipp Ebel:
The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems. HICSS 2019: 1-10 - [c10]Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. IJCNN 2019: 1-8 - 2018
- [j2]Adrian Calma, Tobias Reitmaier
Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. Inf. Sci. 456: 13-33 (2018) - [c9]Adrian Calma, Sarah Oeste-Reiß, Bernhard Sick, Jan Marco Leimeister:
Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration. HICSS 2018: 1-9 - [c8]Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick
Active Learning With Realistic Data - A Case Study. IJCNN 2018: 1-8 - [c7]Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick
Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. IJCNN 2018: 1-8 - [c6]Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick
The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. IJCNN 2018: 1-8 - [e2]Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick:
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018. CEUR Workshop Proceedings 2192, CEUR-WS.org 2018 [contents] - 2017
- [c5]Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick:
Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. IAL@PKDD/ECML 2017: 2-14 - [c4]Adrian Calma, Bernhard Sick:
Simulation of Annotators for Active Learning: Uncertain Oracles. IAL@PKDD/ECML 2017: 49-58 - [c3]Adrian Calma, Daniel Kottke, Bernhard Sick
Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. FAS*W@SASO/ICCAC 2017: 109-116 - [e1]Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick, Daniel Kottke, Adrian Calma:
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. CEUR Workshop Proceedings 1924, CEUR-WS.org 2017 [contents] - 2016
- [c2]Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiss
Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning. ICAC 2016: 315-324 - [c1]Adrian Calma, Tobias Reitmaier, Bernhard Sick
Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. IJCNN 2016: 4040-4047 - [i2]Tobias Reitmaier, Adrian Calma, Bernhard Sick:
Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data. CoRR abs/1610.03995 (2016) - 2015
- [j1]Tobias Reitmaier, Adrian Calma, Bernhard Sick
Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data. Inf. Sci. 293: 275-298 (2015) - [i1]Adrian Calma, Tobias Reitmaier, Bernhard Sick, Paul Lukowicz:
A New Vision of Collaborative Active Learning. CoRR abs/1504.00284 (2015)
Coauthor Index
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