Inga Strümke
Title
Cited by
Cited by
Year
Science with e-ASTROGAM: A space mission for MeV–GeV gamma-ray astrophysics
A De Angelis, V Tatischeff, IA Grenier, J McEnery, M Mallamaci, M Tavani, ...
Journal of High Energy Astrophysics 19, 1-106, 2018
151*2018
Trilinear-augmented gaugino mediation
J Heisig, J Kersten, N Murphy, I Strümke
Journal of High Energy Physics 2017 (5), 1-21, 2017
82017
Signal mixture estimation for degenerate heavy Higgses using a deep neural network
A Kvellestad, S Maeland, I Strümke
The European Physical Journal C 78 (12), 1-11, 2018
72018
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
SA Hicks, JL Isaksen, V Thambawita, J Ghouse, G Ahlberg, A Linneberg, ...
Scientific reports 11 (1), 1-11, 2021
52021
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies
DV Fryer, I Strümke, H Nguyen
arXiv preprint arXiv:2007.06011, 2020
42020
Shapley values for feature selection: the good, the bad, and the axioms
D Fryer, I Strümke, H Nguyen
arXiv preprint arXiv:2102.10936, 2021
32021
Shapley value confidence intervals for variable selection in regression models
D Fryer, I Strumke, H Nguyen
32020
On evaluation metrics for medical applications of artificial intelligence
S Hicks, I Strüke, V Thambawita, M Hammou, P Halvorsen, M Riegler, ...
medRxiv, 2021
22021
Shapley value confidence intervals for attributing variance explained
DV Fryer, I Strümke, HD Nguyen
Frontiers in Applied Mathematics and Statistics 6, 58, 2020
22020
Model independent feature attributions: Shapley values that uncover non-linear dependencies
DV Fryer, I Strumke, N Hien
PeerJ Computer Science 7 (e582), 2021
12021
ID: 3523524 DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS FOR CREATING REALISTIC ARTIFICIAL COLON POLYP IMAGES: VALIDATION STUDY BY ENDOSCOPISTS
VL Thambawita, I Strümke, S Hicks, MA Riegler, P Halvorsen, S Parasa
Gastrointestinal Endoscopy 93 (6), AB190, 2021
12021
Fr615 IMPACT OF IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORKS PERFORMANCE IN GASTROINTESTINAL ENDOSCOPY
VL Thambawita, S Hicks, I Strümke, MA Riegler, P Halvorsen, S Parasa
Gastroenterology 160 (6), S-377, 2021
12021
Deep Learning with Periodic Features and Applications in Particle Physics
S Maeland, I Strümke
Research School on Statistics and Data Science, 140-147, 2019
12019
Parameter Scans and Machine Learning for beyond Standard Model Physics
I Strümke
The University of Bergen, 2019
12019
Artificial Intelligence in Dry Eye Disease
AM Storås, I Strümke, MA Riegler, J Grauslund, HL Hammer, A Yazidi, ...
arXiv preprint arXiv:2109.01658, 2021
2021
Inferring feature importance with uncertainties in high-dimensional data
PV Johnsen, I Strümke, S Riemer-Sørensen, AT DeWand, M Langaas
arXiv preprint arXiv:2109.00855, 2021
2021
Inferring feature importance with uncertainties in high-dimensional data
P Vegard Johnsen, I Strümke, S Riemer-Sørensen, AT DeWand, ...
arXiv e-prints, arXiv: 2109.00855, 2021
2021
Beyond Cuts in Small Signal Scenarios-Enhanced Sneutrino Detectability Using Machine Learning
D Alvestad, N Fomin, J Kersten, S Maeland, I Strümke
arXiv preprint arXiv:2108.03125, 2021
2021
The social dilemma in AI development and why we have to solve it
I Strümke, M Slavkovik, V Madai
arXiv preprint arXiv:2107.12977, 2021
2021
DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine
VL Thambawita, JL Isaksen, S Hicks, J Ghouse, G Ahlberg, A Linneberg, ...
medRxiv, 2021
2021
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Articles 1–20