Standout Papers

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems 2021 2026 2022 2024388
  1. Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems (2021)
    Laura von Rueden, Sebastian Mayer et al. IEEE Transactions on Knowledge and Data Engineering

Immediate Impact

1 from Science/Nature 64 standout
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Citing Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
2024 Standout
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
1 intermediate paper

Works of Birgit Kirsch being referenced

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
2021 Standout

Author Peers

Author Last Decade Papers Cites
Birgit Kirsch 152 19 44 56 52 3 433
Laura von Rueden 155 40 58 53 5 400
Katharina Beckh 155 39 57 52 6 405
Jannis Schuecker 154 66 57 65 6 445
Bogdan Georgiev 155 41 56 54 8 399
Sven Giesselbach 167 1 41 58 53 10 448
Hamid Laga 146 23 58 41 3 399
Rajkumar Ramamurthy 193 39 56 53 13 446
Muhammad Ubale Kiru 106 1 21 38 91 4 397
Matthias Humt 152 19 69 34 11 433
Raoul Heese 200 44 81 58 20 490

All Works

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2026