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Email:
philipp.honysz
tu-dortmund.de
Phone: Room-No.: OH12 R4.023 |
Buschjaeger/etal/2021b | Buschjäger, Sebastian and Honysz, Philipp-Jan and Morik, Katharina. Very Fast Streaming Submodular Function Maximization (Extended Version). 2021. |
Honysz/etal/2021a | Honysz, Philipp-Jan and Buschjäger, Sebastian and Morik, Katharina. GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering. 2021. |
Honysz/etal/2021b | Honysz, Philipp-Jan and Schulze-Struchtrup, Alexander and Buschjäger, Sebastian and Morik, Katharina. Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0. 2021. |
Buschjaeger/etal/2020d | Buschjäger, Sebastian and Honysz, Philipp-Jan and Morik, Katharina. Randomized outlier detection with trees. In International Journal of Data Science and Analytics, pages 1--14, Springer, 2020. |
Buschjaeger/Honysz/2020a | Buschjäger, Sebastian and Honysz, Philipp-Jan and Morik, Katharina. Generalized Isolation Forest: Some Theory and More Applications -- Extended Abstract. In Proceedings 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA 2020), IEEE, 2020. |
Honysz/2020a | Honysz, Philipp-Jan. Unüberwachte Ausreißererkennung mit Hilfe von Submodularen Funktionen. TU Dortmund, 2020. |
Hess/etal/2019a | Hess, Sibylle and Duivesteijn, Wouter and Honysz, Philipp-Jan and Morik, Katharina. The SpectACl of Nonconvex Clustering: a Spectral Approach to Density-Based Clustering. In AAAI, 2019. |
Schiffers/2018a | Schiffers, Reinhard and Morik, Katharina and Schulze Struchtrup, Alexander and Honysz, Philipp-Jan and Wortberg, Johannes. Anomaly detection in injection molding process data based on unsupervised learning. In Journal of Plastics Technology, Vol. 2018, No. 5, pages 301-347, 2018. |
Honysz/2017a | Honysz, Philipp-Jan. Anomalie-Erkennung in Spritzgieß-Prozessdaten. 2017. |