Search Results - "von Rueden, Laura"

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems by von Rueden, Laura, Mayer, Sebastian, Beckh, Katharina, Georgiev, Bogdan, Giesselbach, Sven, Heese, Raoul, Kirsch, Birgit, Pfrommer, Julius, Pick, Annika, Ramamurthy, Rajkumar, Walczak, Michal, Garcke, Jochen, Bauckhage, Christian, Schuecker, Jannis

“…Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional…”
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Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms by Gunder, Maurice, Piatkowski, Nico, Von Rueden, Laura, Sifa, Rafet, Bauckhage, Christian

“…In times of climate change, growing world population, and the resulting scarcity of resources, efficient and economical usage of agricultural land is…”
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How Does Knowledge Injection Help in Informed Machine Learning? by von Rueden, Laura, Garcke, Jochen, Bauckhage, Christian

“…Informed machine learning describes the injection of prior knowledge into learning systems. It can help to improve generalization, especially when training…”
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Harnessing Prior Knowledge for Explainable Machine Learning: An Overview by Beckh, Katharina, Muller, Sebastian, Jakobs, Matthias, Toborek, Vanessa, Tan, Hanxiao, Fischer, Raphael, Welke, Pascal, Houben, Sebastian, von Rueden, Laura

“…The application of complex machine learning models has elicited research to make them more explainable. However, most explainability methods cannot provide…”
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Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems by von Rueden, Laura, Mayer, Sebastian, Beckh, Katharina, Georgiev, Bogdan, Giesselbach, Sven, Heese, Raoul, Kirsch, Birgit, Pfrommer, Julius, Pick, Annika, Ramamurthy, Rajkumar, Walczak, Michal, Garcke, Jochen, Bauckhage, Christian, Schuecker, Jannis

“…Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional…”
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Magnostics: Image-Based Search of Interesting Matrix Views for Guided Network Exploration by Behrisch, Michael, Bach, Benjamin, Hund, Michael, Delz, Michael, Von Ruden, Laura, Fekete, Jean-Daniel, Schreck, Tobias

“…In this work we address the problem of retrieving potentially interesting matrix views to support the exploration of networks. We introduce Matrix Diagnostics…”
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Street-Map Based Validation of Semantic Segmentation in Autonomous Driving by von Rueden, Laura, Wirtz, Tim, Hueger, Fabian, Schneider, Jan David, Piatkowski, Nico, Bauckhage, Christian

“…Artificial intelligence for autonomous driving must meet strict requirements on safety and robustness, which motivates the thorough validation of learned…”
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Informed Pre-Training on Prior Knowledge by von Rueden, Laura, Houben, Sebastian, Cvejoski, Kostadin, Bauckhage, Christian, Piatkowski, Nico

“…When training data is scarce, the incorporation of additional prior knowledge can assist the learning process. While it is common to initialize neural networks…”
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Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention by Günder, Maurice, Piatkowski, Nico, von Rueden, Laura, Sifa, Rafet, Bauckhage, Christian

“…In order to avoid disadvantages of monocropping for soil and environment, it is advisable to practice intercropping of various plant species whenever possible…”
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Street-Map Based Validation of Semantic Segmentation in Autonomous Driving by von Rueden, Laura, Wirtz, Tim, Hueger, Fabian, Schneider, Jan David, Piatkowski, Nico, Bauckhage, Christian

“…Artificial intelligence for autonomous driving must meet strict requirements on safety and robustness, which motivates the thorough validation of learned…”
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Towards Map-Based Validation of Semantic Segmentation Masks by von Rueden, Laura, Wirtz, Tim, Hueger, Fabian, Schneider, Jan David, Bauckhage, Christian

“…Artificial intelligence for autonomous driving must meet strict requirements on safety and robustness. We propose to validate machine learning models for…”
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Explainable Machine Learning with Prior Knowledge: An Overview by Beckh, Katharina, Müller, Sebastian, Jakobs, Matthias, Toborek, Vanessa, Tan, Hanxiao, Fischer, Raphael, Welke, Pascal, Houben, Sebastian, von Rueden, Laura

“…This survey presents an overview of integrating prior knowledge into machine learning systems in order to improve explainability. The complexity of machine…”
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Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey by Wörmann, Julian, Bogdoll, Daniel, Brunner, Christian, Bührle, Etienne, Chen, Han, Chuo, Evaristus Fuh, Cvejoski, Kostadin, van Elst, Ludger, Gottschall, Philip, Griesche, Stefan, Hellert, Christian, Hesels, Christian, Houben, Sebastian, Joseph, Tim, Keil, Niklas, Kelsch, Johann, Keser, Mert, Königshof, Hendrik, Kraft, Erwin, Kreuser, Leonie, Krone, Kevin, Latka, Tobias, Mattern, Denny, Matthes, Stefan, Motzkus, Franz, Munir, Mohsin, Nekolla, Moritz, Paschke, Adrian, von Pilchau, Stefan Pilar, Pintz, Maximilian Alexander, Qiu, Tianming, Qureishi, Faraz, Rizvi, Syed Tahseen Raza, Reichardt, Jörg, von Rueden, Laura, Sagel, Alexander, Sasdelli, Diogo, Scholl, Tobias, Schunk, Gerhard, Schwalbe, Gesina, Shen, Hao, Shoeb, Youssef, Stapelbroek, Hendrik, Stehr, Vera, Srinivas, Gurucharan, Tran, Anh Tuan, Vivekanandan, Abhishek, Wang, Ya, Wasserrab, Florian, Werner, Tino, Wirth, Christian, Zwicklbauer, Stefan

“…The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in…”
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Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms by Gunder, Maurice, Piatkowski, Nico, Von Rueden, Laura, Sifa, Rafet, Bauckhage, Christian

“…In times of climate change, growing world population, and the resulting scarcity of resources, efficient and economical usage of agricultural land is…”
Get full text