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2021
1 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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2 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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2020
3 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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4 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. -
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5 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. -
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6 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 2020 s. -
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7 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
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8 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
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9 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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10 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
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11 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
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12 Wickstrøm, Kristoffer Knutsen; Mikalsen, Karl Øyvind; 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 2020
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13 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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14 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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15 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
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16 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
MSCG-Net Models for The 1st Agriculture-Vision Challenge. CVPR 2020 Workshop on AGRICULTURE-VISION; 2020-06-14 - 2020-06-19
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17 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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18 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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19 Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre.
SCG-Net for Semantic Labeling. IGARSS 2020; 2020-09-26 - 2020-10-02
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20 Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; 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.
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2019
21 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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22 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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23 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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24 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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25 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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26 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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27 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
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28 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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29 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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30 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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31 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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32 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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33 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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34 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
35 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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36 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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37 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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38 Kampffmeyer, Michael C..
Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. : UiT Norges arktiske universitet 2018 196 s.
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39 Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo.
The deep kernelized autoencoder. Applied Soft Computing 2018 ;Volum 71. s. 816-825
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40 Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert.
Urban land cover classification with missing data modalities using deep convolutional neural networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018 ;Volum 11.(6) s. 1758-1768
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41 Liu, Qinghui; Salberg, Arnt Børre; Jenssen, Robert.
A COMPARISON OF DEEP LEARNING ARCHITECTURES FOR SEMANTIC MAPPING OF VERY HIGH RESOLUTION IMAGES. 2018 International Geoscience and Remote Sensing Symposium; 2018-07-22 - 2018-07-27
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42 Liu, Qinghui; Salberg, Arnt Børre; Jenssen, Robert.
A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. I: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE conference proceedings 2018 ISBN 978-1-5386-7150-4. s. 6943-6946
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43 Løkse, Sigurd; Jenssen, Robert.
Ranking Using Transition Probabilities Learned from Multi-Attribute Data. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2018 ;Volum 2018-April. s. 2851-2855
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44 Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Mora-Jiménez, Inmaculada; Caballero López Fando, Isabel; Jenssen, Robert.
Using multi-anchors to identify patients suffering from multimorbidities. I: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE 2018 ISBN 978-1-5386-5488-0. s. 1514-1521
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45 Nguyen, van Nhan; Jenssen, Robert; Roverso, Davide.
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning. International Journal of Electrical Power & Energy Systems 2018 ;Volum 99. s. 107-120
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46 Strauman, Andreas Storvik; Bianchi, Filippo Maria; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Soguero-Ruiz, Cristina; Jenssen, Robert.
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. I: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2018). IEEE 2018 ISBN 9781538624067. s. 307-310
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47 Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert.
Uncertainty modeling and interpretability in convolutional neural networks for polyp segmentation. I: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE Signal Processing Society 2018 ISBN 978-1-5386-5477-4.
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2017
48 Bianchi, Filippo Maria; Kampffmeyer, Michael C.; Maiorino, Enrico; Jenssen, Robert.
Temporal overdrive recurrent neural network. I: 2017 International Joint Conference on Neural Networks (IJCNN). IEEE 2017 ISBN 978-1-5090-6182-2. s. 4275-4282
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49 Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare; Jenssen, Robert.
Multiplex visibility graphs to investigate recurrent neural network dynamics. Scientific Reports 2017 ;Volum 7. s. 1-13
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50 Bianchi, Filippo Maria; Livi, Lorenzo; Jenssen, Robert; Alippi, Cesare.
Critical echo state network dynamics by means of Fisher information maximization. I: 2017 International Joint Conference on Neural Networks (IJCNN). IEEE 2017 ISBN 978-1-5090-6182-2. s. 852-858
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