Christian Borgelt
Professor of Data Science at the Department of Artificial Intelligence and Human Interfaces (AIHI) at PLUS and one of the two deputy directors of the IDA Lab. He works on a variety of data analysis methods, with a particular focus on frequent pattern mining and clustering. He is known for a large number of free implementations of data mining methods, many of which have been applied in collaboration with industry.
Christian Borgelt
Position: Deputy Head of the IDA Lab
E-Mail: christian.borgelt@plus.ac.at
Webseite: Persönliche Webseite
Publikationen
- F. Petersen, H. Kuehne, C. Borgelt, J. Welzel, S. Ermon: Convolutional Differentiable Logic Gate Networks. (2024) https://doi.org/https://openreview.net/pdf?id=4bKEFyUHT4
- F. Berns, G. Zimmermann, C. Borgelt, et al: Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements. (2023) https://doi.org/ https://doi.org/10.1109/BigData59044.2023.10386683
- S. Kranzinger, S. Baron, C. Borgelt, et al: Generalisability of Sleep Stage Classification Based on Interbeat Intervals: Validating Three Machine Learning Approaches on Self-recorded Test Data. (2023) https://doi.org/https://doi.org/10.1007/s41237-023-00199-x
- F. Petersen, C. Borgelt, H. Kuehne, O. Deussen: GenDR: A Generalised Differentiable Renderer. (2022) https://doi.org/ https://doi.org/10.48550/arXiv.2204.13845
- F. Petersen, C. Borgelt, H. Kuehne, O. Deussen: Monotonic Differentiable Sorting Networks. (2022) https://doi.org/ https://doi.org/10.48550/arXiv.2203.09630
- F. Petersen, C. Borgelt, H. Kuehne, O. Deussen: Learning with Algorithmic Supervision via Continuous Relaxation. (2021) https://doi.org/ https://doi.org/10.48550/arXiv.2110.05651
- F. Petersen, C. Borgelt, H. Kuehne, O. Deussen: Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. (2021) https://doi.org/https://doi.org/10.48550/arXiv.2105.04019
- V. Racher, C. Borgelt: Gradient Ascent for Best Response Regression. (2021) https://doi.org/https://doi.org/10.1007/978-3-030-74251-5_12
- M.R. Berthold, C. Borgelt, F. Höppner, F. Klawonn, R. Silipo: Guide to Intelligent Data Science (2nd edition). (2020) https://doi.org/https://doi.org/10.1007/978-3-030-45574-3
- C. Borgelt: Even Faster Exact k-Means Clustering. (2020) https://doi.org/https://doi.org/10.1007/978-3-030-44584-3_8