Výsledky vyhľadávania - "Strümke, Inga"

Shapley Values for Feature Selection: The Good, the Bad, and the Axioms Autor Fryer, Daniel, Strumke, Inga, Nguyen, Hien

“…The Shapley value has become popular in the Explainable AI (XAI) literature, thanks, to a large extent, to a solid theoretical foundation, including four…”
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On evaluation metrics for medical applications of artificial intelligence Autor Hicks, Steven A., Strümke, Inga, Thambawita, Vajira, Hammou, Malek, Riegler, Michael A., Halvorsen, Pål, Parasa, Sravanthi

“…Clinicians and software developers need to understand how proposed machine learning (ML) models could improve patient care. No single metric captures all the…”
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Information based explanation methods for deep learning agents—with applications on large open-source chess models Autor Hammersborg, Patrik, Strümke, Inga

“…With large chess-playing neural network models like AlphaZero contesting the state of the art within the world of computerised chess, two challenges present…”
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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine Autor Thambawita, Vajira, Isaksen, Jonas L., Hicks, Steven A., Ghouse, Jonas, Ahlberg, Gustav, Linneberg, Allan, Grarup, Niels, Ellervik, Christina, Olesen, Morten Salling, Hansen, Torben, Graff, Claus, Holstein-Rathlou, Niels-Henrik, Strümke, Inga, Hammer, Hugo L., Maleckar, Mary M., Halvorsen, Pål, Riegler, Michael A., Kanters, Jørgen K.

“…Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for…”
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Vacuum free energy, quark condensate shifts and magnetization in three-flavor chiral perturbation theory to O(p6) in a uniform magnetic field Autor Adhikari, Prabal, Strümke, Inga

“…We study three-flavor QCD in a uniform magnetic field using chiral perturbation theory (χPT). We construct the vacuum free energy density, quark condensate…”
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Explaining deep neural networks for knowledge discovery in electrocardiogram analysis Autor Hicks, Steven A., Isaksen, Jonas L., Thambawita, Vajira, Ghouse, Jonas, Ahlberg, Gustav, Linneberg, Allan, Grarup, Niels, Strümke, Inga, Ellervik, Christina, Olesen, Morten Salling, Hansen, Torben, Graff, Claus, Holstein-Rathlou, Niels-Henrik, Halvorsen, Pål, Maleckar, Mary M., Riegler, Michael A., Kanters, Jørgen K.

“…Deep learning-based tools may annotate and interpret medical data more quickly, consistently, and accurately than medical doctors. However, as medical doctors…”
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Causal connections between socioeconomic disparities and COVID-19 in the USA Autor Banerjee, Tannista, Paul, Ayan, Srikanth, Vishak, Strümke, Inga

“…With the increasing use of machine learning models in computational socioeconomics, the development of methods for explaining these models and understanding…”
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Lessons on interpretable machine learning from particle physics Autor Grojean, Christophe, Paul, Ayan, Qian, Zhuoni, Strümke, Inga

“…Machine learning methods have proved powerful in particle physics, but without interpretability there is no guarantee the outcome of a learning algorithm is…”
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Beyond cuts in small signal scenarios: Enhanced sneutrino detectability using machine learning Autor Alvestad, Daniel, Fomin, Nikolai, Kersten, Jörn, Maeland, Steffen, Strümke, Inga

“…We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of…”
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To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems Autor Amann, Julia, Vetter, Dennis, Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Coffee, Megan, Gerke, Sara, Gilbert, Thomas K., Hagendorff, Thilo, Holm, Sune, Livne, Michelle, Spezzatti, Andy, Strümke, Inga, Zicari, Roberto V., Madai, Vince Istvan

“…Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents a review of the key arguments in favor and against…”
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Inferring feature importance with uncertainties with application to large genotype data Autor Johnsen, Pål Vegard, Strümke, Inga, Langaas, Mette, DeWan, Andrew Thomas, Riemer-Sørensen, Signe

“…Estimating feature importance, which is the contribution of a prediction or several predictions due to a feature, is an essential aspect of explaining…”
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Unlocking the black box: Enhancing human-AI collaboration in high-stakes healthcare scenarios through explainable AI Autor Hassan, Reda, Nguyen, Nhien, Finserås, Stine Rasdal, Adde, Lars, Strümke, Inga, Støen, Ragnhild

“…Despite the advanced predictive capabilities of artificial intelligence (AI) systems, their inherent opacity often leaves users confused about the rationale…”
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Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications Autor Gjærum, Vilde B., Strümke, Inga, Løver, Jakob, Miller, Timothy, Lekkas, Anastasios M.

“…Deep reinforcement learning has shown useful in the field of robotics but the black-box nature of deep neural networks impedes the applicability of deep…”
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Signal mixture estimation for degenerate heavy Higgses using a deep neural network Autor Kvellestad, Anders, Maeland, Steffen, Strümke, Inga

“…If a new signal is established in future LHC data, a next question will be to determine the signal composition, in particular whether the signal is due to…”
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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 Autor Thambawita, Vajira, Strümke, Inga, Hicks, Steven A., Halvorsen, Pål, Parasa, Sravanthi, Riegler, Michael A.

“…Recent trials have evaluated the efficacy of deep convolutional neural network (CNN)-based AI systems to improve lesion detection and characterization in…”
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AutoGCN-Toward Generic Human Activity Recognition With Neural Architecture Search Autor Tempel, Felix, Ihlen, Espen Alexander F., Strumke, Inga

“…This paper introduces AutoGCN, a generic Neural Architecture Search (NAS) algorithm for Human Activity Recognition (HAR) using Graph Convolution Networks…”
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Beyond cuts in small signal scenarios Autor Alvestad, Daniel, Fomin, Nikolai, Kersten, Jörn, Maeland, Steffen, Strümke, Inga

“…We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of…”
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Choose your explanation: a comparison of SHAP and Grad-CAM in human activity recognition Autor Tempel, Felix, Groos, Daniel, Ihlen, Espen Alexander F., Adde, Lars, Strümke, Inga

“…Explaining machine learning (ML) models using eXplainable AI (XAI) techniques has become essential to make them more transparent and trustworthy. This is…”
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From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition Autor Pellano, Kimji N., Strümke, Inga, Ihlen, Espen A. F.

“…The advancement of deep learning in human activity recognition (HAR) using 3D skeleton data is critical for applications in healthcare, security, sports, and…”
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Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction Autor Storås, Andrea M., Fineide, Fredrik, Magnø, Morten, Thiede, Bernd, Chen, Xiangjun, Strümke, Inga, Halvorsen, Pål, Galtung, Hilde, Jensen, Janicke L., Utheim, Tor P., Riegler, Michael A.

“…Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because…”
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