Adrian Calma - RankMe

22 papers B 5Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. IEEE Access Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
2021	J	`jnl`	A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. CoRR Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
2021	J	`jnl`	The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems. CoRR Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, Philipp Ebel
2020	—	`—`	Active learning with uncertain annotators: towards dedicated collaborative interactive learning. Adrian Calma
2020	—	`ed.`	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. IAL@PKDD/ECML Daniel Kottke, Georg Krempl, Vincent Lemaire, Andreas Holzinger, Adrian Calma
2019	B	`conf`	Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. IJCNN Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick
2019	—	`conf`	The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems. HICSS Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, Philipp Ebel
2018	B	`conf`	Active Learning With Realistic Data - A Case Study. IJCNN Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick
2018	B	`conf`	Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. IJCNN Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick
2018	—	`conf`	Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration. HICSS Adrian Calma, Sarah Oeste-Reiß, Bernhard Sick, Jan Marco Leimeister
2018	—	`ed.`	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. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick
2018	J	`jnl`	Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. Inf. Sci. Adrian Calma, Tobias Reitmaier, Bernhard Sick
2018	B	`conf`	The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. IJCNN Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick
2017	—	`conf`	Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. IAL@PKDD/ECML Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick
2017	—	`conf`	Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. FAS*W@SASO/ICCAC Adrian Calma, Daniel Kottke, Bernhard Sick, Sven Tomforde
2017	—	`ed.`	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. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick, Daniel Kottke, Adrian Calma
2017	—	`conf`	Simulation of Annotators for Active Learning: Uncertain Oracles. IAL@PKDD/ECML Adrian Calma, Bernhard Sick
2016	—	`conf`	Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning. ICAC Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiss, Tobias Reitmaier, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Katharina Anna Zweig
2016	B	`conf`	Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. IJCNN Adrian Calma, Tobias Reitmaier, Bernhard Sick
2016	J	`jnl`	Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data. CoRR Tobias Reitmaier, Adrian Calma, Bernhard Sick
2015	J	`jnl`	A New Vision of Collaborative Active Learning. CoRR Adrian Calma, Tobias Reitmaier, Bernhard Sick, Paul Lukowicz
2015	J	`jnl`	Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data. Inf. Sci. Tobias Reitmaier, Adrian Calma, Bernhard Sick