Inga Strümke - Publications, H-index & Citations

Inga Strümke

department of computer science

14H指数

87论文数

2.0K被引数

收录论文 23

发表时间

Integrating attention into explanation frameworks for language and vision transformers 将注意力机制整合到语言和视觉Transformer的解释框架中

Neural Computing and Applications

IF4.5

2026-09-19

OAAI

Marte Eggen; Jacob Lysnæs-Larsen; Inga Strümke

Causal Post-hoc XAI: Categorisation and Systematic Literature Review 因果事后可解释性AI：分类和系统文献综述

Machine Learning

IF2.9

2026-07-20

OAAI

Anna Rodum Bjøru; Helge Langseth; Inga Strümke; Kerstin Bach

Toward Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations 早期脑瘫检测的生物标志物发现: 通过运动学扰动评估解释

IEEE Transactions on Neural Systems and Rehabilitation Engineering

IF5.2

2026-01-14

OAAI

Kimji N. Pellano; Inga Strümke; Daniel Groos; Lars Adde; Pål Haugen; Espen Alexander F. Ihlen

Choose your explanation: a comparison of SHAP and Grad-CAM in human activity recognition 选择你的解释：SHAP与Grad-CAM在人类活动识别中的比较

Applied Intelligence

IF3.5

2025-11-21

OAAI

Felix Tempel; Daniel Groos; Espen Alexander F. Ihlen; Lars Adde; Inga Strümke

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy 在早期检测脑瘫的深度学习模型中评估可解释的AI方法

IEEE ACCESS

IF3.6

2025-01-01

OAAI

Pellano, Kimji N.; Strumke, Inga; Groos, Daniel; Adde, Lars; Ihlen, Espen F. Alexander

Information based explanation methods for deep learning agents-with applications on large open-source chess models

SCIENTIFIC REPORTS

IF3.9

2024-08-30

OAAI

Hammersborg, Patrik; Strumke, Inga

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition 从运动到度量: 在基于骨架的人类活动识别中评估可解释的AI方法

SENSORS

IF3.5

2024-03-18

OAAI

Pellano, Kimji N.; Struemke, Inga; Ihlen, Espen A. F.

AutoGCN-Toward Generic Human Activity Recognition With Neural Architecture Search

IEEE ACCESS

IF3.6

2024-01-01

OAAI

Tempel, Felix; Ihlen, Espen Alexander F.; Strumke, Inga

Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction 使用机器学习模型解释来识别与睑板腺功能障碍严重程度相关的蛋白质

SCIENTIFIC REPORTS

IF3.9

2023-12-22

OAAI

Storas, Andrea M.; Fineide, Fredrik; Magno, Morten; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pal; Galtung, Hilde; Jensen, Janicke L.; Utheim, Tor P.; Riegler, Michael A.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis 热图解释对基于深度学习的心电图分析的有用性

DIAGNOSTICS

IF3.3

2023-07-11

OAAI

Storas, Andrea M.; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira; Hicks, Steven A.; Kanters, Jorgen K.; Struemke, Inga; Halvorsen, Pal; Riegler, Michael A.

Beyond cuts in small signal scenarios Enhanced sneutrino detectability using machine learning

EUROPEAN PHYSICAL JOURNAL C

IF4.8

2023-05-08

OAAI

Alvestad, Daniel; Fomin, Nikolai; Kersten, Jorn; Maeland, Steffen; Strumke, Inga

Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications 用于解释实时机器人应用中的深度强化学习代理的模型树方法

NEUROCOMPUTING

IF6.5

2023-01-01

OAAI

Gjaerum, Vilde B.; Strumke, Inga; Lover, Jakob; Miller, Timothy; Lekkas, Anastasios M.

Causal connections between socioeconomic disparities and COVID-19 in the USA

SCIENTIFIC REPORTS

IF3.9

2022-09-22

OAAI

Banerjee, Tannista; Paul, Ayan; Srikanth, Vishak; Strumke, Inga

On evaluation metrics for medical applications of artificial intelligence

SCIENTIFIC REPORTS

IF3.9

2022-04-08

328

OAAI

Hicks, Steven A.; Struemke, Inga; Thambawita, Vajira; Hammou, Malek; Riegler, Michael A.; Halvorsen, Pal; Parasa, Sravanthi

Artificial intelligence in dry eye disease 人工智能在干眼症中的应用

OCULAR SURFACE

IF5.6

2022-01-01

OAAI

Storas, Andrea M.; Strumke, Inga; Riegler, Michael A.; Grauslund, Jakob; Hammer, Hugo L.; Yazidi, Anis; Halvorsen, Pal; Gundersen, Kjell G.; Utheim, Tor P.; Jackson, Catherine J.

Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images 图像分辨率对内窥镜图像分类中深度学习性能的影响: 使用大型内窥镜图像数据集的实验研究

DIAGNOSTICS

IF3.3

2021-11-24

OAAI

Thambawita, Vajira; Struemke, Inga; Hicks, Steven A.; Halvorsen, Pal; Parasa, Sravanthi; Riegler, Michael A.

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

SCIENTIFIC REPORTS

IF3.9

2021-11-09

OAAI

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; Strumke, Inga; Hammer, Hugo L.; Maleckar, Mary M.; Halvorsen, Pal; Riegler, Michael A.; Kanters, Jorgen K.

Model independent feature attributions: Shapley values that uncover non-linear dependencies

PEERJ COMPUTER SCIENCE

IF2.5

2021-06-02

OAAI

Fryer, Daniel Vidali; Strumke, Inga; Hien Nguyen

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

SCIENTIFIC REPORTS

IF3.9

2021-05-26

OAAI

Hicks, Steven A.; Isaksen, Jonas L.; Thambawita, Vajira; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Strumke, Inga; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Halvorsen, Pal; Maleckar, Mary M.; Riegler, Michael A.; Kanters, Jorgen K.

Shapley Values for Feature Selection: The Good, the Bad, and the Axioms

IEEE ACCESS

IF3.6

2021-01-01

154

OAAI

Fryer, Daniel; Strumke, Inga; Nguyen, Hien

研究方向