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Inga Strümke

Showing results (1-10 of 15) with videos related to

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Scientific Reports|August 30, 2024
Information based explanation methods for deep learning agents-with applications on large open-source chess modelsPatrik Hammersborg, Inga Strümke
Scientific Reports|September 22, 2022
Causal connections between socioeconomic disparities and COVID-19 in the USATannista Banerjee, Ayan Paul, Vishak Srikanth, et al.
Sensors (Basel, Switzerland)|March 28, 2024
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity RecognitionKimji N Pellano, Inga Strümke, Espen A F Ihlen
Computers in Biology and Medicine|February 23, 2025
Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measuresFelix Tempel, Espen Alexander F Ihlen, Lars Adde, et al.
Frontiers in Artificial Intelligence|February 27, 2026
A framework for causal concept-based model explanationsAnna Rodum Bjøru, Jacob Lysnæs-Larsen, Oskar Jørgensen, et al.
Plos Computational Biology|March 14, 2023
Inferring feature importance with uncertainties with application to large genotype dataPål Vegard Johnsen, Inga Strümke, Mette Langaas, et al.
Diagnostics (Basel, Switzerland)|December 24, 2021
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic ImagesVajira Thambawita, Inga Strümke, Steven A Hicks, et al.
Scientific Reports|April 9, 2022
On evaluation metrics for medical applications of artificial intelligenceSteven A Hicks, Inga Strümke, Vajira Thambawita, et al.
Plos One|May 31, 2024
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanationsSteven Hicks, Andrea Storås, Michael A Riegler, et al.
The Ocular Surface|November 29, 2021
Artificial intelligence in dry eye diseaseAndrea M Storås, Inga Strümke, Michael A Riegler, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Scientific Reports|August 30, 2024
Information based explanation methods for deep learning agents-with applications on large open-source chess modelsPatrik Hammersborg, Inga Strümke
Scientific Reports|September 22, 2022
Causal connections between socioeconomic disparities and COVID-19 in the USATannista Banerjee, Ayan Paul, Vishak Srikanth, et al.
Sensors (Basel, Switzerland)|March 28, 2024
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity RecognitionKimji N Pellano, Inga Strümke, Espen A F Ihlen
Computers in Biology and Medicine|February 23, 2025
Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measuresFelix Tempel, Espen Alexander F Ihlen, Lars Adde, et al.
Frontiers in Artificial Intelligence|February 27, 2026
A framework for causal concept-based model explanationsAnna Rodum Bjøru, Jacob Lysnæs-Larsen, Oskar Jørgensen, et al.
Plos Computational Biology|March 14, 2023
Inferring feature importance with uncertainties with application to large genotype dataPål Vegard Johnsen, Inga Strümke, Mette Langaas, et al.
Diagnostics (Basel, Switzerland)|December 24, 2021
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic ImagesVajira Thambawita, Inga Strümke, Steven A Hicks, et al.
Scientific Reports|April 9, 2022
On evaluation metrics for medical applications of artificial intelligenceSteven A Hicks, Inga Strümke, Vajira Thambawita, et al.
Plos One|May 31, 2024
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanationsSteven Hicks, Andrea Storås, Michael A Riegler, et al.
The Ocular Surface|November 29, 2021
Artificial intelligence in dry eye diseaseAndrea M Storås, Inga Strümke, Michael A Riegler, et al.
Pageof 2