Showing 1 - 20 results of 20 for search 'Inga Strümke', query time: 0.05s
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Shapley Values for Feature Selection: The Good, the Bad, and the Axioms by Daniel Fryer, Inga Strumke, Hien Nguyen
Published 2021-01-01
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Signal mixture estimation for degenerate heavy Higgses using a deep neural network by Anders Kvellestad, Steffen Maeland, Inga Strümke
Published 2018-12-01
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Model independent feature attributions: Shapley values that uncover non-linear dependencies by Daniel Vidali Fryer, Inga Strumke, Hien Nguyen
Published 2021-06-01
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Causal connections between socioeconomic disparities and COVID-19 in the USA by Tannista Banerjee, Ayan Paul, Vishak Srikanth, Inga Strümke
Published 2022-09-01
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AutoGCN-Toward Generic Human Activity Recognition With Neural Architecture Search by Felix Tempel, Espen Alexander F. Ihlen, Inga Strumke
Published 2024-01-01
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Trilinear-augmented gaugino mediation by Jan Heisig, Jörn Kersten, Nick Murphy, Inga Strümke
Published 2017-05-01
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Beyond cuts in small signal scenarios by Daniel Alvestad, Nikolai Fomin, Jörn Kersten, Steffen Maeland, Inga Strümke
Published 2023-05-01
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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 2021-11-01
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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 2023-12-01
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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 2023-07-01
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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 2022-02-01
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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 2022-02-01
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Explaining deep neural networks for knowledge discovery in electrocardiogram analysis by Steven A. Hicks, Jonas L. Isaksen, Vajira Thambawita, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Inga Strümke, Christina Ellervik, Morten Salling Olesen, Torben Hansen, Claus Graff, Niels-Henrik Holstein-Rathlou, Pål Halvorsen, Mary M. Maleckar, Michael A. Riegler, Jørgen K. Kanters
Published 2021-05-01
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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine by Vajira Thambawita, Jonas L. Isaksen, Steven A. Hicks, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Christina Ellervik, Morten Salling Olesen, Torben Hansen, Claus Graff, Niels-Henrik Holstein-Rathlou, Inga Strümke, Hugo L. Hammer, Mary M. Maleckar, Pål Halvorsen, Michael A. Riegler, Jørgen K. Kanters
Published 2021-11-01
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