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| Henning Agt-Rickauer Supporting Domain Modeling with Automated Knowledge Acquisition and Modeling Recommendations [1] Technische Universität Berlin, 04. November 2019 |
| Andreas Kunft Optimizing End-to-End Machine Learning Pipelines for Model Training [2] Technische Universität Berlin, 16. August 2019 |
| Jonas Traub Demand-based Data Stream Gathering, Processing, and Transmission [3] Technische Universität Berlin, 22. März 2019 |
| Max Heimel Data Processing on Heterogeneous Hardware [4] Technische Universität Berlin, 08. January 2018 |
| Alexander
Alexandrov Representations and optimizations for embedded parallel dataflow languages [5] Technische Universität Berlin, 31.Oktober 2018 |
| Christoph Boden Benchmarking dataflow systems for scalable machine learning [6] Technische Universität Berlin, 21. September 2018 |
| Moritz Schubotz Augmenting Mathematical Formulae for More Effective Querying and Efficient Presentation [7] Technische Universität Berlin, 31. March 2017 |
| Uwe
Jugel Visualization-Driven Data Aggregation [8] Technische Universität Berlin, 13. April 2017 |
| Sebastian Krause Knowledge-Intensive, High-Performance Relation Extraction [9] Technische Universität Berlin, 27. September 2017 |
| Alan Akbik Exploratory Relation Extraction in Large Multilingual Data [10] Technische Universität Berlin, 13. April 2016 |
| Sebastian Schelter Scaling Data Mining in Massively Parallel Dataflow Systems [11] Technische Universität Berlin, 13. November 2015 |
| Fabian Hüske Specification and Optimization of Analytical Data Flows [12] Technische Universität Berlin, 14. December 2015 |
| Stephan Ewen Programming Abstractions, Compilation, and Execution Techniques for Massively Parallel Data Analysis [13] Technische Universität Berlin, 22. October 2014 |
| Katrin Eisenreich Database Support for Uncertain Data Analysis and Correlation Handling in Scenario Planning [14] Technische Universität Berlin, 22. October 2012 |
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