Search Results - Inga Strumke

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  1. 1

    Information based explanation methods for deep learning agents—with applications on large open-source chess models by Patrik Hammersborg, Inga Strümke

    Published in Scientific Reports (2024-08-01)
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  2. 2

    Vacuum free energy, quark condensate shifts and magnetization in three-flavor chiral perturbation theory to O(p6) in a uniform magnetic field by Prabal Adhikari, Inga Strümke

    Published in Nuclear Physics B (2023-12-01)
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  3. 3

    Signal mixture estimation for degenerate heavy Higgses using a deep neural network by Anders Kvellestad, Steffen Maeland, Inga Strümke

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  4. 4

    AutoGCN-Toward Generic Human Activity Recognition With Neural Architecture Search by Felix Tempel, Espen Alexander F. Ihlen, Inga Strumke

    Published in IEEE Access (2024-01-01)
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  5. 5

    From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition by Kimji N. Pellano, Inga Strümke, Espen A. F. Ihlen

    Published in Sensors (2024-03-01)
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  6. 6

    Bias og kvantitativ analyse innen velferd<subtitle>opphav til skjevheter og relasjon til utfallsrettferdighet</subtitle> by Andrea Marheim Storås, Robindra Prabhu, Hugo Lewi Hammer, Inga Strümke

    Published in Tidsskrift for velferdsforskning (2022-11-01)
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  7. 7

    Beyond cuts in small signal scenarios by Daniel Alvestad, Nikolai Fomin, Jörn Kersten, Steffen Maeland, Inga Strümke

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  8. 8

    Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization by Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos, Anastasios M. Lekkas

    Published in Journal of Marine Science and Engineering (2021-10-01)
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  9. 9

    Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy by Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen

    Published in IEEE Access (2025-01-01)
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  10. 10

    Inferring feature importance with uncertainties with application to large genotype data. by Pål Vegard Johnsen, Inga Strümke, Mette Langaas, Andrew Thomas DeWan, Signe Riemer-Sørensen

    Published in PLoS Computational Biology (2023-03-01)
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  11. 11

    Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images by Vajira Thambawita, Inga Strümke, Steven A. Hicks, Pål Halvorsen, Sravanthi Parasa, Michael A. Riegler

    Published in Diagnostics (2021-11-01)
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  12. 12

    Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. by Steven Hicks, Andrea Storås, Michael A Riegler, Cise Midoglu, Malek Hammou, Thomas de Lange, Sravanthi Parasa, Pål Halvorsen, Inga Strümke

    Published in PLoS ONE (2024-01-01)
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  13. 13

    Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction by Andrea M. Storås, Fredrik Fineide, Morten Magnø, Bernd Thiede, Xiangjun Chen, Inga Strümke, Pål Halvorsen, Hilde Galtung, Janicke L. Jensen, Tor P. Utheim, Michael A. Riegler

    Published in Scientific Reports (2023-12-01)
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  14. 14

    Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis by Andrea M. Storås, Ole Emil Andersen, Sam Lockhart, Roman Thielemann, Filip Gnesin, Vajira Thambawita, Steven A. Hicks, Jørgen K. Kanters, Inga Strümke, Pål Halvorsen, Michael A. Riegler

    Published in Diagnostics (2023-07-01)
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  15. 15

    To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems by Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K. Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V. Zicari, Vince Istvan Madai

    Published in PLOS Digital Health (2022-02-01)
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  16. 16

    To explain or not to explain?-Artificial intelligence explainability in clinical decision support systems. by Julia Amann, Dennis Vetter, Stig Nikolaj Blomberg, Helle Collatz Christensen, Megan Coffee, Sara Gerke, Thomas K Gilbert, Thilo Hagendorff, Sune Holm, Michelle Livne, Andy Spezzatti, Inga Strümke, Roberto V Zicari, Vince Istvan Madai, Z-Inspection initiative

    Published in PLOS Digital Health (2022-02-01)
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