| Convolutional neural networks for automated seismic interpretation AU Waldeland, AC Jensen, LJ Gelius, AHS Solberg The Leading Edge 37 (7), 529-537, 2018 | 156 | 2018 |
| Fast hyperspectral feature reduction using piecewise constant function approximations AC Jensen, AS Solberg IEEE Geoscience and Remote Sensing Letters 4 (4), 547-551, 2007 | 49 | 2007 |
| Sparse inverse covariance estimates for hyperspectral image classification A Berge, AC Jensen, AHS Solberg IEEE Transactions on Geoscience and Remote Sensing 45 (5), 1399-1407, 2007 | 46 | 2007 |
| An approach to multibeam covariance matrices for adaptive beamforming in ultrasonography AC Jensen, A Austeng IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012 | 44 | 2012 |
| Coherent plane-wave compounding and minimum variance beamforming A Austeng, CIC Nilsen, AC Jensen, SP Näsholm, S Holm 2011 IEEE International Ultrasonics Symposium, 2448-2451, 2011 | 39 | 2011 |
| Semi-supervised nearest mean classification through a constrained log-likelihood M Loog, AC Jensen IEEE transactions on neural networks and learning systems 26 (5), 995-1006, 2014 | 32 | 2014 |
| The responsible learning organization: Can Senge (1990) teach organizations how to become responsible innovators? JØ Hansen, A Jensen, N Nguyen The Learning Organization, 2020 | 27 | 2020 |
| The iterative adaptive approach in medical ultrasound imaging AC Jensen, A Austeng IEEE transactions on ultrasonics, ferroelectrics, and frequency control 61 …, 2014 | 25 | 2014 |
| Regression approaches to small sample inverse covariance matrix estimation for hyperspectral image classification AC Jensen, A Berge, AS Solberg IEEE transactions on geoscience and remote sensing 46 (10), 2814-2822, 2008 | 23 | 2008 |
| Applying Thomson's multitaper approach to reduce speckle in medical ultrasound imaging AC Jensen, SP Nasholm, CIC Nilsen, A Austeng, S Holm IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012 | 21 | 2012 |
| On measuring and quantifying performance: error rates, surrogate loss, and an example in semi-supervised learning M Loog, JH Krijthe, AC Jensen Handbook of Pattern Recognition and Computer Vision, 53-68, 2016 | 11 | 2016 |
| Constrained log-likelihood-based semi-supervised linear discriminant analysis M Loog, AC Jensen Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2012 | 9 | 2012 |
| Using multiscale spectra in regularizing covariance matrices for hyperspectral image classification AC Jensen, M Loog, AHS Solberg IEEE transactions on geoscience and remote sensing 48 (4), 1851-1859, 2010 | 9 | 2010 |
| Capon beamforming applied to second-harmonic ultrasound experimental data SP Näsholm, A Austeng, AC Jensen, CIC Nilsen, S Holm 2011 IEEE International Ultrasonics Symposium, 2217-2220, 2011 | 4 | 2011 |
| Image amplitude estimation with the minimum variance beamformer A Austeng, AC Jensen, JF Synnevaag, S Holm 2009 IEEE International Ultrasonics Symposium, 2355-2358, 2009 | 4 | 2009 |
| How best to study the learning organization N Nguyen, JØ Hansen, A Jensen | 3 | 2019 |
| A multitaper approach to speckle reduction for medical ultrasound imaging AC Jensen, CIC Nilsen, A Austeng, SP Näsholm, S Holm 2011 IEEE International Ultrasonics Symposium, 397-400, 2011 | 3 | 2011 |
| Replication Data for: Socio-technical imaginaries of a circular economy in governmental discourse and among science, technology, and innovation actors: A Norwegian case study RR Hermann, A Jensen DataverseNO, 2022 | 2 | 2022 |
| Robust 2D Hilbert Atributes of Local Amplitude and Phase A Solberg, A Jensen, LJ Gelius 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, cp-293-00150, 2012 | 2 | 2012 |
| Introducing training and parameter tuning for KOSP classification of hyperspectral images L Capobianco, L Carli, A Garzelli, F Nencini Image and Signal Processing for Remote Sensing XIII 6748, 97-108, 2007 | 2 | 2007 |
