Laura von Rüden

According to our database, Laura von Rüden authored at least 14 papers between 2015 and 2023.

Collaborative distances:

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

2023

Informed Machine Learning: Integrating Prior Knowledge into Data-Driven Learning Systems.

Laura von Rüden

PhD thesis, 2023

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.

Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker

IEEE Trans. Knowl. Data Eng., 2023

How Does Knowledge Injection Help in Informed Machine Learning?

Laura von Rüden, Jochen Garcke, Christian Bauckhage

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Informed Pre-Training on Prior Knowledge.

Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski

CoRR, 2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

2021

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention.

Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage

CoRR, 2021

Explainable Machine Learning with Prior Knowledge: An Overview.

Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden

CoRR, 2021

Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms.

Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage

IEEE Access, 2021

2020

Towards Map-Based Validation of Semantic Segmentation Masks.

Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage

CoRR, 2020

Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions.

Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving.

Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning.

Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker

CoRR, 2019

2017

Magnostics: Image-Based Search of Interesting Matrix Views for Guided Network Exploration.

Michael Behrisch, Benjamin Bach, Michael Hund, Michael Delz, Laura von Rüden, Jean-Daniel Fekete, Tobias Schreck

IEEE Trans. Vis. Comput. Graph., 2017

2015

Separating the wheat from the chaff: identifying relevant and similar performance data with visual analytics.

Laura von Rüden, Marc-André Hermanns, Michael Behrisch, Daniel A. Keim, Bernd Mohr, Felix Wolf

Proceedings of the 2nd Workshop on Visual Performance Analysis, 2015