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2021
1 Bianchi, Filippo Maria; Scardapane, Simone; Løkse, Sigurd; Jenssen, Robert.
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. IEEE Transactions on Neural Networks and Learning Systems 2021 ;Volum 32.(5) s. 2169-2179
UiT NORCE Untitled
 
2 Boubekki, Ahcene; Kampffmeyer, Michael; Brefeld, Ulf; Jenssen, Robert.
Joint optimization of an autoencoder for clustering and embedding. Machine Learning 2021 ;Volum 110.
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3 Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Brautaset, Olav; Eikvil, Line; Jenssen, Robert.
Semi-supervised target classification in multi-frequency echosounder data. ICES Journal of Marine Science 2021 s. -
HAVFORSK UiT NR Untitled
 
4 Escudero-Arnanz, Oscar; Rodríguez-Álvarez, Joaquín; Mikalsen, Karl Øyvind; Jenssen, Robert; Soguero-Ruiz, Cristina.
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. 2021 KDD Workshop on Applied Data Science for Healthcare; 2021-08-15 - 2021-08-16
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5 Handegard, Nils Olav; Eikvil, Line; Jenssen, Robert; Kampffmeyer, Michael; Salberg, Arnt Børre; Malde, Ketil.
Machine Learning + Marine Science: Critical Role of Partnerships in Norway. Journal of Ocean Technology 2021 ;Volum 16.(3) s. -
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6 Trosten, Daniel Johansen; Jenssen, Robert; Kampffmeyer, Michael.
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. Proceedings of the Northern Lights Deep Learning Workshop 2021 ;Volum 2.
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7 Kuttner, Samuel; Wickstrøm, Kristoffer Knutsen; Lubberink, Mark; Tolf, Andreas; Burman, Joachim; Sundset, Rune; Jenssen, Robert; Appel, Lieuwe; Axelsson, Jan.
Cerebral blood flow measurements with <sup>15</sup>O-water PET using a non-invasive machine-learning-derived arterial input function. Journal of Cerebral Blood Flow and Metabolism 2021 s. 1-13
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8 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
PAGNet Models for The 2nd Agriculture-Vision Challenges CVPR 2021. CVPR 2021 Workshop on AGRICULTURE-VISION; 2021-06-20 - 2021-06-21
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9 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images. International Journal of Remote Sensing 2021
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10 Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastian Bruno; Jenssen, Robert; Anfinsen, Stian Normann.
Deep image translation with an affinity-based change prior for unsupervised multimodal change detection. IEEE Transactions on Geoscience and Remote Sensing 2021
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11 Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastiano Bruno; Jenssen, Robert; Anfinsen, Stian Normann.
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Transactions on Geoscience and Remote Sensing 2021
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12 Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Bianchi, Filippo Maria; Revhaug, Arthur; Jenssen, Robert.
Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognition 2021
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13 Nguyen, Van Nhan; Jenssen, Robert; Roverso, Davide.
LS-Net: fast single-shot line-segment detector. Machine Vision and Applications 2021 ;Volum 32.(1) s. -
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14 Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael.
Reconsidering Representation Alignment for Multi-View Clustering. Computer Vision and Pattern Recognition 2021
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15 Wickstrøm, Kristoffer Knutsen; Mikalsen, Karl Oyvind; Kampffmeyer, Michael; Revhaug, Arthur; Jenssen, Robert.
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE journal of biomedical and health informatics 2021 ;Volum 25.(7) s. 2435-2444
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2020
16 Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert.
Deep generative models for reject inference in credit scoring. Knowledge-Based Systems 2020 ;Volum 196. s. -
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17 Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert.
Learning latent representations of bank customers with the Variational Autoencoder. Expert Systems With Applications 2020 ;Volum 164. s. -
NR UiT Untitled
 
18 Chiu, Mang Tik; Xingqiang, Xu; Wang, Kai; Hobbs, Jennifer; Hovakimyan, Naira; Huang, Thomas S.; Shi, Honghui; Wei, Yunchao; Huang, Zilong; Schwing, Alexander; Brunner, Robert; Dozier, Ivan; Dozier, Wyatt; Ghandilyan, Karen; Wilson, David; Park, Hyunseong; Kim, Junhee; Kim, Sungho; Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre; Barbosa, Alexandre; Trevisan, Rodrigo; Zhao, Bingchen; Yu, Shaozuo; Yang, Siwei; Wang, Yin; Sheng, Hao; Chen, Xiao; Su, Jingyi; Rajagopal, Ram; Ng, Andrew; Huynh, Van Thong; Kim, Soo-Hyung; Na, In-Seop; Baid, Ujjwal; Innani, Shubham; Dutande, Prasad; Baheti, Bhakti; Talbar, Sanjay; Tang, Jianyu.
The 1st Agriculture-Vision Challenge: Methods and Results. I: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. IEEE 2020 ISBN 978-1-7281-9360-1. s. 212-218
NR UiT Untitled
 
19 Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert.
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Northern Lights Deep Learning Workshop (NLDL) 2020; 2020-01-19 - 2020-01-21
NORCE UiT Untitled
 
20 Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert.
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Proceedings of the Northern Lights Deep Learning Workshop 2020 ;Volum 1. s. -
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21 Choi, Changkyu; Kampffmeyer, Michael; Jenssen, Robert.
A Robustness Analysis of Personalized Propagation of Neural Prediction. Northern Lights Deep Learning Workshop (NLDL) 2020; 2020-01-19 - 2020-01-21
UiT Untitled
 
22 Goodwin, Morten; Pettersen, Klas Henning; Jenssen, Robert.
Episode 1 - Robert Jenssen forklarer kunstig intelligens innen helseforskning, computer vision og bildanalyse. NORA forklarer kunstig intelligens [Internett] 2020-12-15
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23 Hansen, Stine; Kuttner, Samuel; Kampffmeyer, Michael; Markussen, Tom-Vegard; Sundset, Rune; Øen, Silje Kjærnes; Eikenes, Live; Jenssen, Robert.
Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. Expert Systems With Applications 2020 ;Volum 167:114244. s. 1-12
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24 Yu, Shujian; Wickstrøm, Kristoffer Knutsen; Jenssen, Robert; Principe, Jose.
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Transactions on Neural Networks and Learning Systems 2020 ;Volum 32.(1) s. 436-442
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25 Kuttner, Samuel; Wickstrøm, Kristoffer Knutsen; Kalda, Gustav; Dorraji, Seyed Esmaeil; Martin-Armas, Montserrat; Oteiza, Ana; Jenssen, Robert; Fenton, Kristin Andreassen; Sundset, Rune; Axelsson, Jan.
Machine learning derived input-function in a dynamic 18F-FDG PET study of mice. Biomedical Engineering & Physics Express 2020 ;Volum 6:015020. s. 1-13
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26 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
Dense dilated convolutions merging network for land cover classification. IEEE Transactions on Geoscience and Remote Sensing 2020 ;Volum 58.(9) s. 6309-6320
NR UiT Untitled
 
27 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
MSCG-Net Models for The 1st Agriculture-Vision Challenge CVPR 2020. CVPR 2020 Workshop on AGRICULTURE-VISION; 2020-06-14 - 2020-06-19
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28 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR 2020 Workshop on AGRICULTURE-VISION; 2020-06-14 - 2020-06-19
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29 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation. I: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. IEEE 2020 ISBN 978-1-7281-9360-1. s. 199-205
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30 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
SCG-Net for Semantic Labeling. IGARSS 2020; 2020-09-26 - 2020-10-02
NR UiT Untitled
 
31 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt-Børre.
Self-Constructing Graph Convolutional Networks for Semantic Labeling. I: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. IEEE 2020 ISBN 9781728163741. s. -
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32 Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Jenssen, Robert.
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. I: Explainable AI in Healthcare and Medicine. Springer 2020 ISBN 9783030533519.
UiT UNN Untitled
 
33 Yu, Shujian; Giraldo, Luis Gonzalo Sánchez; Jenssen, Robert; Principe, Jose C..
Multivariate Extension of Matrix-Based Rényi's αα-Order Entropy Functional. IEEE Transactions on Pattern Analysis and Machine Intelligence 2020 ;Volum 42.(11) s. 2960-2966
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2019
34 Bianchi, Filippo Maria; Livi, Lorenzo; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Jenssen, Robert.
Learning representations of multivariate time series with missing data. Pattern Recognition 2019 ;Volum 96:106973. s. 1-11
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35 Brenn, Torgeir; Gjøvik, Lars-Petter; Rasmussen, Gunnar Ljosdahl; Bauna, Tony; Kampffmeyer, Michael; Jenssen, Robert; Anfinsen, Stian Normann.
Operationalizing Ship Detection Using Deep Learning. Maritime Situational Awareness Workshop (MSAW 2019); 2019-10-08 - 2019-10-10
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36 Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert.
Deep divergence-based approach to clustering. Neural Networks 2019 ;Volum 113. s. 91-101
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37 Kocbek, Primoz; Fijacko, Nino; Ruiz, Cristina Soguero; Mikalsen, Karl Øyvind; Maver, Uros; Brzan, Petra Povalej; Stozer, Andraz; Jenssen, Robert; Skrøvseth, Stein Olav; Stiglic, Gregor.
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. Computational & Mathematical Methods in Medicine 2019 ;Volum 2019.
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38 Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre.
DDCM Network for Semantic Mapping of Remote Sensing Images. NLDL2019: Northern Lights Deep Learning Workshop; 2019-01-08 - 2019-01-10
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39 Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre.
DDCM-Net for Semantic Mapping of Remote Sensing Images. JURSE2019 -Joint Urban Remote Sensing Event; 2019-05-22 - 2019-05-24
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40 Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre.
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. I: Joint Urban Remote Sensing Event, JURSE 2019. IEEE 2019 ISBN 978-1-7281-0009-8. s. 1-4
NR UiT Untitled
 
41 Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre.
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019; 2019-07-27 - 2019-08-02
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42 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. I: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Proceedings. IEEE 2019 ISBN 978-1-5386-9154-0. s. 5041-5044
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43 Mikalsen, Karl Øyvind.
Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare. : UiT Norges arktiske universitet 2019 201 s.
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44 Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Bianchi, Filippo Maria; Jenssen, Robert.
Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognition 2019 ;Volum 90. s. 257-270
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45 Nguyen, van Nhan; Jenssen, Robert; Roverso, Davide.
Intelligent Monitoring and Inspection of Power Line Components Powered by UAVs and Deep Learning. IEEE Power and Energy Technology Systems Journal 2019 ;Volum 6.(1) s. 11-21
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46 Trosten, Daniel Johansen; Strauman, Andreas Storvik; Kampffmeyer, Michael C.; Jenssen, Robert.
Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2019 ;Volum 2019-May. s. 3257-3261
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47 Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert.
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Analysis 2019
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2018
48 Bianchi, Filippo Maria; Mikalsen, Karl Øyvind; Jenssen, Robert.
Learning compressed representations of blood samples time series with missing data. I: ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. : i6doc.com 2018 s. -
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49 Bianchi, Filippo Maria; Scardapane, Simone; Løkse, Sigurd; Jenssen, Robert.
Bidirectional deep-readout echo state networks. I: ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. : i6doc.com 2018 s. 425-430
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50 Hansen, Mads Adrian; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Soguero-Ruiz, Cristina; Jenssen, Robert.
Towards deep anchor learning. I: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2018). IEEE 2018 ISBN 9781538624067. s. 315-318
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