Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
At Visual Intelligence we work across our innovation areas to extract knowledge from large volumes of visual data more efficiently through automatic and intelligent data analysis. The work to address the core research challenges in deep learning: working with limited training data, utilizing context and dependencies, providing explainability, confidence and uncertainty, are important in all the innovation areas.
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Marius Aasan, Odd Kolbjørnsen, Anne Schistad Solberg, Adín Ramirez Rivera
Published in:
ECCV (MELEX) 2024 Workshop Proceedings
on
August 28, 2024
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Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera
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Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45451-45467, 2024
on
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Artificial Intelligence in Geosciences, Volume 5, 2024
on
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Joakimsen, H. L., Martinsen I., Luppino, L. T., McDonald, A., Hosking, S., and Jenssen, R.
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IEEE Geoscience and Remote Sensing Letters
on
February 14, 2024
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Transactions on Machine Learning Research (02/2024)
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February 4, 2024
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Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, Ben Liang
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Journal of Machine Learning Research 25 (2024) 1-56
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Olesen, Kristoffer Vinther; Boubekki, Ahcene; Kampffmeyer, Michael Christian; Jenssen, Robert; Christensen, Anders Nymark; Hørlück, Sune; Clemmensen, Line H. A
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Journal of Marine Science and Engineering (JMSE) 2023 ;Volum 11.(11)
on
October 31, 2023
By authors:
Østmo, Eirik Agnalt; Wickstrøm, Kristoffer; Radiya, Keyur; Kampffmeyer, Michael; Jenssen, Robert.
Published in:
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 2023, pp. 1-6
on
October 23, 2023
By authors:
Chlaily, Saloua; Ratha, Debanshu; Lozou, Pigi; Marinoni, Andrea
Published in:
IEEE Transactions on Signal Processing 2023 ;Volum 71. s.3710-3725
on
October 12, 2023
By authors:
Bruno Souza; Marius Aasan; Helio Pedrini; Adıń Ramıŕez Rivera
Published in:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Paris, France, 2023, pp. 4642-4647
on
October 2, 2023