A New Vision of Collaborative Active Learning. - Adrian Calma; Tobias Reitmaier; Bernhard Sick; Paul Lukowicz (CoRR, 2015)

Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data. - Tobias Reitmaier; Adrian Calma; Bernhard Sick (Inf. Sci., 2015)

Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning. - Gernot Bahle; Adrian Calma; Jan Marco Leimeister; Paul Lukowicz; Sarah Oeste-Reiss; Tobias Reitmaier; Albrecht Schmidt 001; Bernhard Sick; Gerd Stumme; Katharina Anna Zweig (ICAC, 2016)

Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. - Adrian Calma; Tobias Reitmaier; Bernhard Sick (IJCNN, 2016)

Simulation of Annotators for Active Learning: Uncertain Oracles. - Adrian Calma; Bernhard Sick (IAL@PKDD/ECML, 2017)

Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. - Daniel Kottke; Adrian Calma; Denis Huseljic; Georg Krempl; Bernhard Sick (IAL@PKDD/ECML, 2017)

Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. - Adrian Calma; Daniel Kottke; Bernhard Sick; Sven Tomforde (FAS*W@SASO/ICCAC, 2017)

Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration. - Adrian Calma; Sarah Oeste-Reiß; Bernhard Sick; Jan Marco Leimeister (HICSS, 2018)

Active Learning With Realistic Data - A Case Study. - Adrian Calma; Moritz Stolz; Daniel Kottke; Sven Tomforde; Bernhard Sick (IJCNN, 2018)

Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. - Marek Herde; Daniel Kottke; Adrian Calma; Maarten Bieshaar; Stephan Deist; Bernhard Sick (IJCNN, 2018)

The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. - Daniel Kottke; Adrian Calma; Denis Huseljic; Christoph Sandrock; George Kachergis; Bernhard Sick (IJCNN, 2018)

Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. - Adrian Calma; Tobias Reitmaier; Bernhard Sick (Inf. Sci., 2018)

The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems. - Dominik Dellermann; Adrian Calma; Nikolaus Lipusch; Thorsten Weber; Sascha Weigel; Philipp Ebel (HICSS, 2019)

Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. - Christoph Sandrock; Marek Herde; Adrian Calma; Daniel Kottke; Bernhard Sick (IJCNN, 2019)

Active learning with uncertain annotators: towards dedicated collaborative interactive learning. - Adrian Calma (2020)

A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. - Marek Herde; Denis Huseljic; Bernhard Sick; Adrian Calma (IEEE Access, 2021)