|
Email:
helena.kotthaus
tu-dortmund.de
Telefon: 0231/755-6325 Telefax: 0231/755-5105 Raumnummer: OH12 R4.021 |
| Jakobs/etal/2022a | Jakobs, Matthias and Kotthaus, Helena and Röder, Ines and Baritz, Maximilian. SancScreen: Towards a real-world dataset for evaluating explainability methods. In Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen" (LWDA), 2022. |
| Morik/etal/2021a |
Morik, Katharina and Kotthaus, Helena and Fischer, Raphael and Mücke, Sascha and Jakobs, Matthias and Piatkowski, Nico and Pauly, Andreas and Heppe, Lukas and Heinrich, Danny.
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework.
In
Elisa Fromont (editors),
Frontiers in Artificial Intelligence,
Frontiers,
2022.
|
| Haritz/etal/2021a | Haritz, Pierre and Pfahler, Lukas and Liebig, Thomas and Kotthaus, Helena. Self-Supervised Source Code Annotation from Related Research Papers. In Proceedings of the PhD Forum of the 21st IEEE International Conference on Data Mining, Seiten 1083-1084, 2021. |
| Kotthaus/etal/2019b |
Kotthaus, Helena and Schönberger, Lea and Lang, Andreas and Chen, Jian-Jia and Marwedel, Peter.
Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently?.
In
22nd International Workshop on Software and Compilers for Embedded Systems,
Seiten 59-62,
ACM,
2019.
|
| Kotthaus/etal/2019a |
Tözün, Pinar and Kotthaus, Helena.
Scheduling Data-Intensive Tasks on Heterogeneous Many Cores.
In
IEEE Data Engineering Bulletin,
Vol. 42,
No. 1,
Seiten 61-72,
2019.
|
| Kotthaus/Vitek/2019c | Kotthaus, Helena and Vitek, Jan. Typical Mistakes in Data Science: Should you Trust my Model?. In Abstract Booklet of the International R User Conference (UseR!), Toulouse, France, 2019. |
| Kotthaus/2018a |
Kotthaus, Helena.
Methods for Efficient Resource Utilization in Statistical Machine Learning Algorithms.
TU Dortmund University,
Dortmund,
Department of Computer Science,
2018.
|
| Kotthaus/etal/2018a | Kotthaus, Helena and Lang, Andreas and Marwedel, Peter. Optimizing Parallel R Programs via Dynamic Scheduling Strategies. In Abstract Booklet of the International R User Conference (UseR!), Brisbane, Australia, 2018. |
| Kotthaus/2017b |
Kotthaus, Helena and Lang, Andreas and Neugebauer, Olaf and Marwedel, Peter.
R goes Mobile: Efficient Scheduling for Parallel R Programs on Heterogeneous Embedded Systems.
In
Abstract Booklet of the International R User Conference (UseR!),
Seiten 74,
Brussels, Belgium,
2017.
|
| Kotthaus/etal/2017a |
Kotthaus, Helena and Richter, Jakob and Lang, Andreas and Thomas, Janek and Bischl, Bernd and Marwedel, Peter and Rahnenführer, Jörg and Lang, Michel.
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.
In
Procs. of the 11th LION,
Seiten 180-195,
2017.
|
| Richter/etal/2016b |
Richter, Jakob and Kotthaus, Helena and Bischl, Bernd and Marwedel, Peter and Rahnenführer, Jörg and Lang, Michel.
Faster Model-Based Optimization through Resource-Aware Scheduling Strategies.
In
Proceedings of the 10th International Conference: Learning and Intelligent Optimization (LION 10),
Vol. 10079,
Seiten 267--273,
Springer,
2016.
|
| Kotthaus/etal/2016a |
Kotthaus, Helena and Richter, Jakob and Lang, Andreas and Lang, Michel and Marwedel, Peter.
Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs through RAMBO.
In
Abstract Booklet of the International R User Conference (UseR!),
Seiten 195,
Stanford University, Palo Alto, California,
2016.
|
| Kotthaus/2015a |
Kotthaus, Helena and Korb, Ingo and Marwedel, Peter.
Performance Analysis for Parallel R Programs: Towards Efficient Resource Utilization.
No. 1,
Department of Computer Science 12, TU Dortmund University,
2015.
|
| Lang/etal/2014a |
Lang, Michel and Kotthaus, Helena and Marwedel, Peter and Weihs, Claus and Rahnenführer, Jörg and Bischl, Bernd.
Automatic Model Selection for High-Dimensional Survival Analysis.
In
Journal of Statistical Computation and Simulation,
Vol. 85,
No. 1,
Seiten 62--76,
2014.
|
| Kotthaus/etal/2014b |
Kotthaus, Helena and Korb, Ingo and Engel, Michael and Marwedel, Peter.
Dynamic Page Sharing Optimization for the R Language.
In
Proceedings of the 10th Symposium on Dynamic Languages,
Seiten 79-90,
Portland, Oregon, USA,
ACM,
2014.
|
| Kotthaus/etal/2014c | Kotthaus, Helena and Korb, Ingo and Künne, Markus and Marwedel, Peter. Performance Analysis for R: Towards a Faster R Interpreter. In Abstract Booklet of the International R User Conference (UseR!), Seiten 104, Los Angeles, USA, 2014. |
| Kotthaus/etal/2014a |
Kotthaus, Helena and Korb, Ingo and Lang, Michel and Bischl, Bernd and Rahnenführer, Jörg and Marwedel, Peter.
Runtime and Memory Consumption Analyses for Machine Learning R Programs.
In
Journal of Statistical Computation and Simulation,
Vol. 85,
No. 1,
Seiten 14-29,
2014.
|
| Kotthaus/etal/2012a | Kotthaus, Helena and Plazar, Sascha and Marwedel, Peter. A JVM-based Compiler Strategy for the R Language. In Abstract Booklet of the 8th International R User Conference (UseR!), Seiten 68, Nashville, Tennessee, USA, 2012. |
| Falk/etal/2011a |
Falk, Heiko and Kotthaus, Helena.
WCET-driven Cache-aware Code Positioning.
In
Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES),
Seiten 145-154,
Taipei, Taiwan,
2011.
|