2023

Christian Beyer, Maik Büttner, and Myra Spiliopoulou. Challenges for Active Feature Acquisition and Imputation on Data Streams. Proceedings of the Workshop on Interactive Adaptive Learningco-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023. URL

Anne Rother, Jan Reißmann, Alexander Hasse, Christian Beyer, and Myra Spiliopoulou. Human uncertainty in interaction with a machine: establishing a reference dataset. 60th Ilmenau Scientific Colloquium, 2023.

Anne Rother, Gunther Notni, Alexander Hasse, Benjamin Noack, Christian Beyer, Jan Reißmann, Chen Zhang, Marco Ragni, Julia Arlinghaus, and Myra Spiliopoulou. Productive teaming under uncertainty: when a human and a machine classify objects together. 2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 9-14, 2023.

Maik Büttner, Christian Beyer, and Myra Spiliopoulou. Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. In Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, and Pedro H. Abreu (Eds.), Discovery Science, 308-322, Springer Nature Switzerland, 2023.

2022

Noor Jamaludeen, Juliane Lehmann, Christian Beyer, Katrin Vogel, Mandy Pierau, Monika Brunner-Weinzierl, and Myra Spiliopoulou. Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches. In Dr. Fernando Benito-Lopez (Eds.), Sensors, (22)24:9785, MDPI AG, December 2022. URL

Maik Büttner, Christian Beyer, and Myra Spiliopoulou. Reducing Missingness in a Stream through Cost-Aware Active Feature Acquisition. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), November 2022.

2021

Noor Jamaludeen, Christian Beyer, Ulrike Billing, Katrin Vogel, Monika Brunner-Weinzierl, and Myra Spiliopoulou. Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis. Sensors, (21)15:4960, MDPI AG, July 2021. URL

2020

Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, and Myra Spiliopoulou. Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. In Michael R. Berthold, Ad Feelders, and Georg Krempl (Eds.), Advances in Intelligent Data Analysis XVIII, 1--13, Springer International Publishing, Cham, 2020. URL

Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, and Myra Spiliopoulou. Resource management for model learning at entity level. Annals of Telecommunications, (75)9-10:549--561, Springer Science and Business Media LLC, August 2020. URL

Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, and Myra Spiliopoulou. Resource management for model learning at entity level. Annals of Telecommunications, Aug 29, 2020. URL

Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, and Myra Spiliopoulou. Active feature acquisition on data streams under feature drift.. Ann. des Télécommunications, (75)9-10:597-611, 2020. URL

Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, and Myra Spiliopoulou. Active feature acquisition on data streams under feature drift. Annals of Telecommunications, Jul 8, 2020. URL

2019

Ranjith Shivakumaraswamy, Christian Beyer, Vishnu Unnikrishnan, Eirini Ntoutsi, and Myra Spiliopoulou. Active Feature Acquistion for Opinion Stream Classification under Drift. Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 108--111, 2019. URL

Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, and Myra Spiliopoulou. Exploiting Entity Information for Stream Classification over a Stream of Reviews. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 564-573, ACM, 2019. URL

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, and Myra Spiliopoulou. Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics, 2019. URL

2018

Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, and Myra Spiliopoulou. Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Ruediger Pryss, Winfried Schlee, Eirini Ntoutsi, and Myra Spiliopoulou. Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. 2018.

2015

Christian Beyer, Georg Krempl, and Vincent Lemaire. How to Select Information That Matters: A Comparative Study on Active Learning Strategies for Classification. Proc. of the 15th Int. Conf. on Knowledge Technologies and Data-Driven Business (i-KNOW 2015), ACM, 2015. URL