Beyer, Christian


Active Feature Acquistion for Opinion Stream Classification under Drift. Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 108--111, 2019. URL

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

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


Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.

Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. 2018.


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

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