Christian Beyer

According to our database, Christian Beyer authored at least 14 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Challenges for Active Feature Acquisition and Imputation on Data Streams.

Christian Beyer, Maik Büttner, Myra Spiliopoulou

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 2023), 2023

Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features.

Maik Büttner, Christian Beyer, Myra Spiliopoulou

Proceedings of the Discovery Science - 26th International Conference, 2023

Productive teaming under uncertainty: when a human and a machine classify objects together.

Anne Rother, Gunther Notni, Alexander Hasse, Benjamin Noack, Christian Beyer, Jan Reißmann, Chen Zhang, Marco Ragni, Julia C. Arlinghaus, Myra Spiliopoulou

Proceedings of the IEEE International Conference on Advanced Robotics and Its Social Impacts, 2023

2022

Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches.

Noor Jamaludeen, Juliane Lehmann, Christian Beyer, Katrin Vogel, Mandy Pierau, Monika Brunner-Weinzierl, Myra Spiliopoulou

Sensors, 2022

Reducing Missingness in a Stream through Cost-Aware Active Feature Acquisition.

Maik Büttner, Christian Beyer, Myra Spiliopoulou

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis.

Noor Jamaludeen, Christian Beyer, Ulrike Billing, Katrin Vogel, Monika Brunner-Weinzierl, Myra Spiliopoulou

Sensors, 2021

2020

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou

Int. J. Data Sci. Anal., 2020

Resource management for model learning at entity level.

Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou

Ann. des Télécommunications, 2020

Active feature acquisition on data streams under feature drift.

Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou

Ann. des Télécommunications, 2020

Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder.

Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Exploiting entity information for stream classification over a stream of reviews.

Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018

Predicting polarities of entity-centered documents without reading their contents.

Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2015

How to select information that matters: a comparative study on active learning strategies for classification.

Christian Beyer, Georg Krempl, Vincent Lemaire

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

1997

Hussearle's Representationalism and the "hypothesis of the Background".

Christian Beyer

Synth., 1997