Laura von Rueden - Institute for Intelligent Analysis and Information Systems, Fraunhofer IAIS

基本信息

Career Trajectory

Bio

Laura von Rueden received the BSc degree in physics and the MSc degree in simulation sciences in 2015 from RWTH Aachen University. She was a data scientist with Capgemini. Since 2018, she has been a research scientist with Fraunhofer IAIS. She is currently working toward the PhD degree in computer science with the Universität Bonn. Her research interests include machine learning and especially the combination of data and knowledge-based modeling.

Research Interests

Papers共 16 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

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, 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 Rueden,Stefan Rudolph,Alexander Sagel, Tobias Scholl,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

arxiv（2023）

Cited0Views0Bibtex

Harnessing Prior Knowledge for Explainable Machine Learning: An Overview

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

2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)pp.450-463, (2023)

Cited2Views0EIWOSBibtex

How Does Knowledge Injection Help in Informed Machine Learning

Laura von Rueden,Jochen Garcke,Christian Bauckhage

2023 International Joint Conference on Neural Networks (IJCNN)pp.1-8, (2023)

Cited0Views0EIWOSBibtex

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)

Cited0Views0EIBibtex

Informed Pre-Training on Prior Knowledge

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

CoRR (2022)

Cited0Views0EIBibtex

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention

Maurice Gunder,Nico Piatkowski,Laura von Rueden,Rafet Sifa,Christian Bauckhage

ArXiv (2021)

Cited0Views0Bibtex

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

Maurice Gunder,Nico Piatkowski,Laura Von Rueden,Rafet Sifa,Christian Bauckhage

IEEE Access (2021): 1-1

Cited2Views0EIWOSBibtex

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving

Laura von Rueden,Tim Wirtz,Fabian Hueger,Jan David Schneider,Nico Piatkowski,Christian Bauckhage

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)pp.10203-10210, (2021)

Cited6Views0EIWOSBibtex

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

Laura von Rueden,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 transactions on knowledge and data engineering（2021）

Cited15Views0EIWOSBibtex

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 Rueden

CoRR (2021)

Cited4Views0EIBibtex

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