Adrian Calma

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 16

Top Topics

Nearest Neighbor

Active Learning

Generative Model

Top Venues

Publications

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. IEEE Access 9 (2021)
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 (2021)
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 (2021)
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)
Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. IJCNN (2019)
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)
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)
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)
Adrian Calma, Tobias Reitmaier, Bernhard Sick
Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. Inf. Sci. 456 (2018)
Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick
Active Learning With Realistic Data - A Case Study. IJCNN (2018)
Adrian Calma, Bernhard Sick
Simulation of Annotators for Active Learning: Uncertain Oracles. IAL@PKDD/ECML (2017)
Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick
Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. IAL@PKDD/ECML (2017)
Adrian Calma, Daniel Kottke, Bernhard Sick, Sven Tomforde
Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. FAS*W@SASO/ICCAC (2017)
Adrian Calma, Tobias Reitmaier, Bernhard Sick
Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. IJCNN (2016)
Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiss, Tobias Reitmaier, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Katharina Anna Zweig
Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning. ICAC (2016)
Tobias Reitmaier, Adrian Calma, Bernhard Sick
Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data. CoRR (2016)
Adrian Calma, Tobias Reitmaier, Bernhard Sick, Paul Lukowicz
A New Vision of Collaborative Active Learning. CoRR (2015)
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 (2015)