2023

• Gjærum, Vilde Benoni; Strumke, Inga; Løver, Jakob; Miller, Timothy; Lekkas, Anastasios M.. (2023) Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing. volum 515.
  Academic article

2022

• Amann, Julia; Vetter, dennis; Blomberg, Stig Nikolaj Fasmer; Christensen, Helle Collatz; Coffee, Megan; Gerke, Sara; Gilbert, Thomas; Hagendorff, Thilo; Holm, Sune; Livne, Michelle; Spezzatti, Andy; Strumke, Inga; Zicari, Roberto V.; Madai, Vince Istvan. (2022) To explain or not to explain? Artificial intelligence explainability in clinical decision support systems. PLOS Digital Health.
  Academic article
• Banerjee, Tannista; Paul, Ayan; Srikanth, Vishak; Strumke, Inga. (2022) Causal connections between socioeconomic disparities and COVID-19 in the USA. Scientific Reports. volum 12 (1).
  Academic article
• Hammou, Malek; Midoglu, Cise; Hicks, Steven; Storås, Andrea; Sabet, Saeed; Strumke, Inga; Riegler, Michael; Halvorsen, Pål. (2022) Huldra: a framework for collecting crowdsourced feedback on multimedia assets. MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference.
  Academic chapter/article/Conference paper
• Lysne, Olav; Strumke, Inga; Riegler, Michael Alexander. (2022) Data samlet fra åpne kilder er ikke ufarlig. Aftenposten.
  Feature article
• Midoglu, Cise; Storås, Andrea; Sabet, Saeed; Hammou, Malek; Hicks, Steven; Strumke, Inga; Riegler, Michael; Griwodz, Carsten; Halvorsen, Pål. (2022) Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework. Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM).
  Academic chapter/article/Conference paper
• Remman, Sindre Benjamin; Strumke, Inga; Lekkas, Anastasios M.. (2022) Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning. American Control Conference (ACC).
  Academic article
• Storås, Andrea; Prabhu, Robindra; Hammer, Hugo Lewi; Strumke, Inga. (2022) Bias og kvantitativ analyse innen velferd: opphav til skjevheter og relasjon til utfallsrettferdighet. Tidsskrift for velferdsforskning. volum 25 (3).
  Academic article
• Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål. (2022) Research proposal: Explainability methods for machine learning systems for multimodal medical datasets. MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference.
  Academic chapter/article/Conference paper
• Storås, Andrea; Åsberg, Anders; Halvorsen, Pål; Riegler, Michael Alexander; Strumke, Inga. (2022) Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning. 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS).
  Academic chapter/article/Conference paper
• Strumke, Inga. (2022) Kunstig intelligens forbløffer: - Banebrytende. TV2.no.
  publications.INTERVJUSKRIFTL
• Strumke, Inga. (2022) AI-systemet som overbeviste en Google-ingeniør om at det har bevissthet. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Det første bildet av det sorte hullet i sentrum av galaksen vår. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Er ikke kosmos kosmos slik vi kjenner det likevel?. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Google har tatt et viktig steg på veien til å gi maskiner naturlig taleevne. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Hva du må vite om kunstig intelligens. Digital Norway, https://digitalnorway.com/hva-ma-du-vite-om-kunstig-intelligens-i-2023-vi-spurte-en-ki-forsker/. 2022.
  Digital learning tools
• Strumke, Inga. (2022) Hvordan maskiner tilegner seg menneskelig kunnskap. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Hvorfor kaller Facebooks kunstige intelligens Mark Zuckerberg «creepy»?. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Intelligente maskiner kan ha hemmelige bakdører. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Intelligente maskiner kan ha hemmelige bakdører. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2022) Veiviser: Kunstig intelligens på arbeidsplassen.
  Website (informational material)
• Strumke, Inga. (2022) Årets kanskje mest oppsiktsvekkende måling innen partikkelfysikk. Morgenbladet.
  Popular scientific article
• Strumke, Inga; Barua, Ishita. (2022) Hvordan kan vi holde algoritmene i ørene? Forskningsmiljøer står klare til å hjelpe. Aftenposten.
  Feature article
• Strumke, Inga; Bergsjø, Leonora Onarheim. (2022) Etter to år med nasjonal strategi for kunstig intelligens trengs opplæring og struktur. Digi.no.
  Feature article
• Strumke, Inga; Lysne, Olav; Riegler, Michael Alexander. (2022) Data samlet fra åpne kilder er ikke ufarlig. Aftenposten.
  Feature article
• Strumke, Inga; Strand, Martin. (2022) Når «big tech» blir best på personvern. Dagens næringsliv.
  Popular scientific article

2021

• Barua, Ishita; Strumke, Inga. (2021) Utviklere av kunstig intelligens må få det leger har. Nemlig en profesjonsetikk. Aftenposten (morgenutg. : trykt utg.).
  Feature article
• Fryer, Daniel; Strumke, Inga; Nguyen, Hien. (2021) Shapley Values for Feature Selection: The Good, the Bad, and the Axioms. IEEE Access.
  Academic article
• Gjærum, Vilde Benoni; Strumke, Inga; Alsos, Ole Andreas; Lekkas, Anastasios M.. (2021) Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization. Journal of Marine Science and Engineering. volum 9 (11).
  Academic article
• Hicks, Steven; Isaksen, Jonas L; Thambawita, Vajira L B; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Strumke, Inga; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Halvorsen, Pål; Maleckar, Mary Margot Catherine; Riegler, Michael; Kanters, Jørgen K. (2021) Explaining deep neural networks for knowledge discovery in electrocardiogram analysis. Scientific Reports. volum 11.
  Academic article
• Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan. (2021) Artificial intelligence in dry eye disease. The ocular surface. volum 23.
  Academic literature review
• Strumke, Inga. (2021) En stor kunstig intelligens, og mange tusen små. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2021) Fremtiden er ladbar – og har høy spenning. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2021) Inne i et tysk fjell forsøker fysikere å lage energi slik solen gjør det. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2021) Inne i et tysk fjell forsøker fysikere å lage energi slik solen gjør det. Morgenbladet.
  Popular scientific article
• Fryer, Daniel; Strumke, Inga; Nguyen, Hien. (2021) Model independent feature attributions: Shapley values that uncover non-linear dependencies. PeerJ Computer Science.
  Academic article
• Strumke, Inga. (2021) Teleportering er ikke lenger fiksjon. Morgenbladet.
  Popular scientific article
• Strumke, Inga. (2021) Tiden går, kaoset blir bare verre. Morgenbladet.
  Popular scientific article
• Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål. (2021) Artificial Intelligence in Gastroenterology. Artificial Intelligence in Medicine.
  Chapter
• Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål. (2021) Artificial Intelligence in Gastroenterology. Artificial Intelligence in Medicine.
  Academic chapter/article/Conference paper
• Strumke, Inga; Slavkovik, Marija; Madai, Vince Istvan. (2021) The social dilemma in artificial intelligence development and why we have to solve it. AI and Ethics.
  Academic article
• Thambawita, Vajira L B; Hicks, Steven; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi. (2021) Fr615 IMPACT OF IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORKS PERFORMANCE IN GASTROINTESTINAL ENDOSCOPY. Gastroenterology. volum 160 (6 supplement).
  Abstract
• Thambawita, Vajira L B; 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.. (2021) DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Scientific Reports. volum 11 (1).
  Academic article
• Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Halvorsen, Pål; Parasa, Sravanthi; Riegler, Michael. (2021) Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images. Diagnostics (Basel). volum 11 (12).
  Academic article
• Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi. (2021) ID: 3523524 DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS FOR CREATING REALISTIC ARTIFICIAL COLON POLYP IMAGES: VALIDATION STUDY BY ENDOSCOPISTS. Gastrointestinal Endoscopy. volum 93 (6 supplement).
  Abstract

2020

• Fryer, Daniel; Strumke, Inga; Nguyen, Hien. (2020) Shapley Value Confidence Intervals for Attributing Variance Explained. Frontiers in Applied Mathematics and Statistics.
  Article
• Løland, Anders; Strümke, Inga. (2020) Algoritmer er mer enn bare data – de kan diskriminere og gjøre urett. Dagens næringsliv. volum 131 (138).
  Feature article
• Riegler, Michael; Lison, Pierre; Strümke, Inga; Løland, Anders. (2020) For enkelt om kunstig intelligens: – Diskriminerende og fordomsfull AI er ikke alltid lett å løse. Forskning.no.
  Reader opinion piece

2019

• Mæland, Steffen; Strümke, Inga. (2019) Deep Learning with Periodic Features and Applications in Particle Physics. Communications in Computer and Information Science. volum 1150 CCIS.
  Academic article
• Strümke, Inga; Kersten, Jörn. (2019) Parameter Scans and Machine Learning for beyond Standard Model Physics. 2019. ISBN 978-82-308-3511-1.
  Doctoral dissertation

2018

• De Angelis, Alessandro; Tatischeff, Vincent; Grenier, Isabelle A.; McEnery, Julie E.; Mallamaci, Manuela; Tavani, Marco; Oberlack, U.; Hanlon, L.; Walter, R; Argan, Andrea; von Ballmoos, Peter; Bulgarelli, Andrea; Bykov, Andrei M.; Hernanz, Margerita; Kanbach, Gottfried O.; Kuvvetli, Irfan; Pearce, Mark; Zdziarski, A; Conrad, J; Ghisellini, Gabriele; Harding, A; Isern, J.; Leising, Mark D.; Longo, Francesco; Madejski, G.; Martinez, M; Mazziotta, M. N.; Paredes, J.M.; Pohl, M.; Rando, R; Razzano, M; Aboudan, Alessio; Ackermann, Mathias; Addazi, A; Ajello, Marco; Albertus, C; Alvarez, J.M.; Ambrosi, Giovanni; Anton, S.; Antonelli, Lucio Angelo; Babic, Aleksandar; Baibussinov, B.; Balbo, M.; Baldini, L; Balman, S.; Bambi, C.; Bringmann, Torsten; Strümke, Inga; Van den Abeele, Jeriek Paul; Marisaldi, Martino; Zoglauer, Andreas C.. (2018) Science with e-ASTROGAM: A space mission for MeV–GeV gamma-ray astrophysics. Journal of High Energy Astrophysics. volum 19.
  Academic article
• Kersten, Jörn; Heisig, Jan; Murphy, Nick; Strümke, Inga. (2018) Gaugino Mediation with Large Trilinears. Proceedings of Science (PoS). volum 318 (079).
  Academic article
• Kvellestad, Anders; Mæland, Steffen; Strümke, Inga. (2018) Signal mixture estimation for degenerate heavy Higgses using a deep neural network. European Physical Journal C. volum 78 (12).
  Academic article

2017

• Heisig, Jan; Kersten, Jörn Andreas; Murphy, Nick; Strümke, Inga. (2017) Trilinear-augmented gaugino mediation. Journal of High Energy Physics (JHEP). volum 2017 (5).
  Academic article
• Heisig, Jan; Kersten, Jörn; Murphy, Nick; Strumke, Inga. (2017) Gaugino mediation with large trilinears. Proceedings of Science (PoS). volum 318.
  Academic article