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.
By authors:
Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera
Published in:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:45451-45467, 2024
on
July 29, 2024
By authors:
al Hajj, Ghadi; Hubin, Aliaksandr; Kanduri, Chakravarthi; Pavlovic, Milena; Rand, Knut Dagestad; Widrich, Michael; Solberg, Anne H Schistad; Greiff, Victor; Pensar, Johan; Klambauer, Günter & Sandve, Geir Kjetil Ferkingstad
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Proceedings of the 41st International Conference on Machine Learning, PMLR 235:17279-17297
on
July 21, 2024
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Artificial Intelligence in Geosciences, Volume 5, 2024
on
June 8, 2024
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Ordonez, A; Wade, D; Ravaut, C; Waldeland A.U.
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85th EAGE Annual Conference & Exhibition, Jun 2024, Volume 2024, p.1 - 5
on
June 1, 2024
By authors:
Jenssen, Robert
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International Conference on Learning Representations 2024
on
May 7, 2024
By authors:
Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael Christian
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Pattern Recognition
on
May 1, 2024
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Gautam, Srishti; Boubekki, Ahcene; Höhne, Marina Marie-Claire; Kampffmeyer, Michael Christian.
Published in:
Transactions on Machine Learning Research (TMLR)
on
May 1, 2024
By authors:
C. Choi, S. Yu, M. Kampffmeyer, A. -B. Salberg, N. O. Handegard and R. Jenssen
Published in:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 7170-7174
on
April 14, 2024
By authors:
Kuttner, Samuel; Luppino, Luigi Tommaso; Convert, Laurence; Sarrhini, Otman; Lecomte, Roger; Kampffmeyer, Michael Christian; Sundset, Rune; Jenssen, Robert.
Published in:
Frontiers in Nuclear Medicine
on
April 11, 2024
By authors:
Lin, Luoyang; Jiang, Zutao; Liang, Xiaodan; Ma, Liqian; Kampffmeyer, Michael Christian; Cao, Xiaochun.
Published in:
Proceedings of the AAAI Conference on Artificial Intelligence, 38(4), 3441-3449
on
March 24, 2024