Zobrazeno 1 - 10
of 8 767
pro vyhledávání: '"A Akesson"'
Autor:
Akesson, Simon, Santos, Frances A.
Providing external knowledge to Large Language Models (LLMs) is a key point for using these models in real-world applications for several reasons, such as incorporating up-to-date content in a real-time manner, providing access to domain-specific kno
Externí odkaz:
http://arxiv.org/abs/2406.00029
We consider unsupervised domain adaptation (UDA) for semantic segmentation in which the model is trained on a labeled source dataset and adapted to an unlabeled target dataset. Unfortunately, current self-training methods are susceptible to misclassi
Externí odkaz:
http://arxiv.org/abs/2403.03854
Autor:
Jaubert, Olivier, Pascale, Michele, Montalt-Tordera, Javier, Akesson, Julius, Virsinskaite, Ruta, Knight, Daniel, Arridge, Simon, Steeden, Jennifer, Muthurangu, Vivek
Purpose: To develop and assess a deep learning (DL) pipeline to learn dynamic MR image reconstruction from publicly available natural videos (Inter4K). Materials and Methods: Learning was performed for a range of DL architectures (VarNet, 3D UNet, Fa
Externí odkaz:
http://arxiv.org/abs/2311.13963
Autor:
Åkesson, Torsten, Bravo, Cameron, Brennan, Liam, Bryngemark, Lene Kristian, Butti, Pierfrancesco, Dukes, E. Craig, Dutta, Valentina, Echenard, Bertrand, Eichlersmith, Thomas, Eisch, Jonathan, Elén, Einar, Ehrlich, Ralf, Froemming, Cooper, Furmanski, Andrew, Gogate, Niramay, Grieco, Chiara, Group, Craig, Herde, Hannah, Herwig, Christian, Hitlin, David G., Horoho, Tyler, Incandela, Joseph, Ketchum, Wesley, Krnjaic, Gordan, Li, Amina, Mans, Jeremiah, Masterson, Phillip, Middleton, Sophie, Moreno, Omar, Mullier, Geoffrey, Muse, Joseph, Nelson, Timothy, O'Dwyer, Rory, Östman, Leo, Oyang, James, Pascadlo, Jessica, Pöttgen, Ruth, Sarmiento, Luis G., Schuster, Philip, Solt, Matthew, Suarez, Cristina Mantilla, Tompkins, Lauren, Toro, Natalia, Tran, Nhan, Wallin, Erik, Whitbeck, Andrew, Zhang, Danyi
The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the sub-GeV mass region. An upgrade to the LCLS-II accelerator will increa
Externí odkaz:
http://arxiv.org/abs/2308.15173
Autor:
Badawi, Dena, Akesson, Bree
Publikováno v:
International Journal of Migration, Health and Social Care, 2024, Vol. 20, Issue 2, pp. 337-353.
Autor:
Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon Arridge, Jennifer Steeden, Vivek Muthurangu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract To develop and assess a deep learning (DL) pipeline to learn dynamic MR image reconstruction from publicly available natural videos (Inter4K). Learning was performed for a range of DL architectures (VarNet, 3D UNet, FastDVDNet) and correspon
Externí odkaz:
https://doaj.org/article/5a7a8d4bd2594e2790bb7d058cc85d40
Autor:
Romuald Tagne-Fotso, Margaux Riou, Abdessattar Saoudi, Abdelkrim Zeghnoun, Hanne Frederiksen, Tamar Berman, Parisa Montazeri, Anna-Maria Andersson, Laura Rodriguez-Martin, Agneta Akesson, Marika Berglund, Pierre Biot, Argelia Castaño, Marie-Aline Charles, Emmanuelle Cocco, Elly Den Hond, Marie-Christine Dewolf, Marta Esteban-Lopez, Liese Gilles, Eva Govarts, Cedric Guignard, Arno C. Gutleb, Christina Hartmann, Tina Kold Jensen, Gudrun Koppen, Tina Kosjek, Nathalie Lambrechts, Rosemary McEachan, Amrit K. Sakhi, Janja Snoj Tratnik, Maria Uhl, Jose Urquiza, Marina Vafeiadi, An Van Nieuwenhuyse, Martine Vrijheid, Till Weber, Cécile Zaros, Elena Tarroja-Aulina, Lisbeth E. Knudsen, Adrian Covaci, Robert Barouki, Marike Kolossa-Gehring, Greet Schoeters, Sebastien Denys, Clemence Fillol, Loïc Rambaud
Publikováno v:
Environment International, Vol 190, Iss , Pp 108912- (2024)
Background: Bisphenol A (BPA; or 4,4′-isopropylidenediphenol) is an endocrine disrupting chemical. It was widely used in a variety of plastic-based manufactured products for several years. The European Food Safety Authority (EFSA) recently reduced
Externí odkaz:
https://doaj.org/article/24b14b27888b473cb75cd13a71e7070b
Autor:
Ramezani, Zahra, Åkesson, Knut
The aim of this technical report is to investigate the effect of input parameters on the falsification of cyber-physical systems (CPSs).
Externí odkaz:
http://arxiv.org/abs/2209.07131
Cyber-physical systems (CPSs) are usually complex and safety-critical; hence, it is difficult and important to guarantee that the system's requirements, i.e., specifications, are fulfilled. Simulation-based falsification of CPSs is a practical testin
Externí odkaz:
http://arxiv.org/abs/2209.06735
Autor:
Åkesson, Torsten, Blinov, Nikita, Brand-Baugher, Lukas, Bravo, Cameron, Bryngemark, Lene Kristian, Butti, Pierfrancesco, Doglioni, Caterina, Dukes, Craig, Dutta, Valentina, Echenard, Bertrand, Ehrlich, Ralf, Eichlersmith, Thomas, Furmanski, Andrew, Greenstein, Chloe, Group, Craig, Gogate, Niramay, Hegde, Vinay, Herwig, Christian, Hitlin, David G., Hoang, Duc, Horoho, Tyler, Incandela, Joseph, Ketchum, Wesley, Krnjaic, Gordan, Li, Amina, Li, Shirley, Lin, Dexu, Mans, Jeremiah, Suarez, Cristina Mantilla, Masterson, Phillip, Meier, Martin, Middleton, Sophie, Moreno, Omar, Mullier, Geoffrey, Nelson, Timothy, Oyang, James, Pascadlo, Jessica, Pöttgen, Ruth, Prestel, Stefan, Pico, Luis Sarmiento, Schuster, Philip, Solt, Matthew, Tompkins, Lauren, Toro, Natalia, Tran, Nhan, Whitbeck, Andrew, Zhou, Kevin, Zichi, Laura
The constituents of dark matter are still unknown, and the viable possibilities span a vast range of masses. The physics community has established searching for sub-GeV dark matter as a high priority and identified accelerator-based experiments as an
Externí odkaz:
http://arxiv.org/abs/2203.08192