Laura von Rueden

Most-cited papers

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

   Laura von Rueden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev +10 more

   2019IEEE Transactions on Knowledge and Data Engineering934 citations Open access

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

   Laura von Rueden, Sebastian Mayer, R. Sifa, C. Bauckhage +1 more

   2020International Symposium on Intelligent Data Analysis140 citations Open access

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

   Laura von Rueden, Sebastian Mayer, J. Garcke, C. Bauckhage +1 more

   2019arXiv.org58 citations

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

   M. Behrisch, Benjamin Bach, Michael Hund, Michael Delz +3 more

   2017IEEE Transactions on Visualization and Computer Graphics40 citations Open access

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5. Explainable Machine Learning with Prior Knowledge: An Overview

   Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek +5 more

   2021arXiv.org35 citations

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6. Harnessing Prior Knowledge for Explainable Machine Learning: An Overview

   Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek +5 more

   20232023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)24 citations

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

   Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Hang Chen +42 more

   2022arXiv.org23 citations Open access

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8. Informed Pre-Training on Prior Knowledge

   Laura von Rueden, Sebastian Houben, K. Cvejoski, C. Bauckhage +1 more

   2022arXiv.org9 citations Open access

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

   Laura von Rueden, Tim Wirtz, Fabian Hueger, Jan David Schneider +2 more

   2021International Conference on Pattern Recognition8 citations Open access

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10. How Does Knowledge Injection Help in Informed Machine Learning?

    Laura von Rueden, J. Garcke, C. Bauckhage

    2023IEEE International Joint Conference on Neural Network7 citations

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

    Laura von Rueden, Marc-André Hermanns, M. Behrisch, D. Keim +2 more

    2015VPA '155 citations

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12. Towards Linking Local and Global Explanations for AI Assessments with Concept Explanation Clusters

    E. Haedecke, M. Akila, Laura von Rueden

    2024AAAI Fall Symposia2 citations Open access

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

    Laura von Rueden

    20231 citations

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

    M. Günder, N. Piatkowski, Laura von Rueden, R. Sifa +1 more

    2021IEEE Access1 citations Open access

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15. Towards Map-Based Validation of Semantic Segmentation Masks

    Laura von Rueden, Tim Wirtz, Fabian Hueger, Jan David Schneider +1 more

    2020arXiv.org1 citations

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16. Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention

    Maurice Günder, N. Piatkowski, Laura von Rueden, R. Sifa +1 more

    2021arXiv.org0 citations

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