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Publication profile

Robert Jenssen

Robert, Jenssen
Name: Robert Jenssen
Title: Professor II
Phone: (+47) +47 41 69 96 12
Email: Robert [dot] Jenssen [at] uit [dot] no
Scientific areas: Machine learning
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Academic anthology/Conference proceedings
2009
Salberg, Arnt Børre; Hardeberg, Jon Yngve; Jenssen, Robert (eds). Image Analysis. 16th Scandinavian Conference, SCIA 2009 Oslo Norway, June 2009. Proceedings. Springer. (ISBN 3-642-02229-4). pp 779. 2009.
Non-fiction book
2009
Salberg, Arnt-Børre; Hardeberg, Jon Yngve; Jenssen, Robert. Image Analysis, 16th Scandinavian Conference Proceedings (SCIA), Oslo, Norway, June 2009, Springer Verlag Lecture Notes in Computer Science, LNCS 5575. : 2009.
Academic article
2022
Luppino, Luigi Tommaso; Hansen, Mads Adrian; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Jenssen, Robert; Anfinsen, Stian Normann. Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). doi: 10.1109/TNNLS.2022.3172183. 2022.
Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Generating customer's credit behavior with deep generative models. Knowledge-Based Systems (ISSN 0950-7051). 245 pp 1-13. doi: 10.1016/j.knosys.2022.108568. 2022. Arkiv
Jenssen, Robert. rtg. Pattern Recognition (ISSN 0031-3203). 2022.
Wickstrøm, Kristoffer; Kampffmeyer, Michael; Mikalsen, Karl Øyvind; Jenssen, Robert. Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognition Letters (ISSN 0167-8655). 155 pp 54-61. doi: 10.1016/j.patrec.2022.02.007. 2022. Arkiv
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. International Journal of Remote Sensing (ISSN 0143-1161). 43(9) pp 3509-3535. doi: 10.1080/01431161.2022.2098078. 2022.
Hansen, Stine; Gautam, Srishti; Jenssen, Robert; Kampffmeyer, Michael. Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Analysis (ISSN 1361-8415). 78 pp 1-12. doi: 10.1016/j.media.2022.102385. 2022. Arkiv
2021
Boubekki, Ahcene; Myhre, Jonas Nordhaug; Luppino, Luigi Tommaso; Mikalsen, Karl Øyvind; Revhaug, Arthur; Jenssen, Robert. Clinically relevant features for predicting the severity of surgical site infections. IEEE journal of biomedical and health informatics (ISSN 2168-2194). 26(4) pp 1794-1801. doi: 10.1109/JBHI.2021.3121038. 2021. Arkiv Fulltekst
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 (ISSN 2168-2194). 25(7) pp 2435-2444. doi: 10.1109/JBHI.2020.3042637. 2021. Arkiv
Yu, Shujian; Alesiani, Francesco; Yu, Xi; Jenssen, Robert; Principe, Jose C.. Measuring Dependence with Matrix-based Entropy Functional. Proceedings of the AAAI Conference on Artificial Intelligence (ISSN 2159-5399). doi: 10.48550/arXiv.2101.10160. 2021.
Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael. Reconsidering Representation Alignment for Multi-View Clustering. Computer Vision and Pattern Recognition (ISSN 1063-6919). pp 1255-1265. doi: 10.1109/CVPR46437.2021.00131. 2021. Arkiv
Boubekki, Ahcene; Kampffmeyer, Michael; Brefeld, Ulf; Jenssen, Robert. Joint optimization of an autoencoder for clustering and embedding. Machine Learning (ISSN 0885-6125). 110 pp 1901-1937. doi: 10.1007/s10994-021-06015-5. 2021. Arkiv
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 (ISSN 1054-3139). 78(7) pp 2615-2627. doi: 10.1093/icesjms/fsab140. 2021. Arkiv Fulltekst
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 (ISSN 0031-3203). 115 doi: 10.1016/j.patcog.2021.107896. 2021. Arkiv
Nguyen, Van Nhan; Jenssen, Robert; Roverso, Davide. LS-Net: fast single-shot line-segment detector. Machine Vision and Applications (ISSN 0932-8092). 32 doi: 10.1007/s00138-020-01138-6. 2021. Arkiv
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. 2 doi: 10.7557/18.5709. 2021. Arkiv
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 (ISSN 0143-1161). 42(16) pp 6184-6208. doi: 10.1080/01431161.2021.1936267. 2021. Arkiv
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 (ISSN 0196-2892). 60 doi: 10.1109/TGRS.2021.3056196. 2021. Arkiv
Kuttner, Samuel; Wickstrøm, Kristoffer Knutsen; Lubberink, Mark; Tolf, Andreas; Burman, Joachim; Sundset, Rune; Jenssen, Robert; Appel, Lieuwe; Axelsson, Jan. Cerebral blood flow measurements with 15O-water PET using a non-invasive machine-learning-derived arterial input function. Journal of Cerebral Blood Flow and Metabolism (ISSN 0271-678X). pp 1-13. doi: 10.1177/0271678X21991393. 2021. Arkiv
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 (ISSN 2162-237X). 32(5) pp 2169-2179. doi: 10.1109/TNNLS.2020.3001377. 2021. Arkiv
2020
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. 1 doi: 10.7557/18.5136. 2020. Arkiv
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 (ISSN 2057-1976). 6:015020 pp 1-13. doi: 10.1088/2057-1976/ab6496. 2020. Arkiv
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 (ISSN 2162-237X). 32(1) pp 436-442. doi: 10.1109/TNNLS.2020.2968509. 2020.
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 (ISSN 0957-4174). 167:114244 pp 1-12. doi: 10.1016/j.eswa.2020.114244. 2020. Arkiv
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 (ISSN 0162-8828). 42(11) pp 2960-2966. doi: 10.1109/TPAMI.2019.2932976. 2020.
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 (ISSN 0196-2892). 58(9) pp 6309-6320. doi: 10.1109/TGRS.2020.2976658. 2020. Arkiv Fulltekst Omtale
Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Learning latent representations of bank customers with the Variational Autoencoder. Expert Systems With Applications (ISSN 0957-4174). 164 doi: 10.1016/j.eswa.2020.114020. 2020. Arkiv
Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Deep generative models for reject inference in credit scoring. Knowledge-Based Systems (ISSN 0950-7051). 196 doi: 10.1016/j.knosys.2020.105758. 2020. Arkiv
2019
Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Bianchi, Filippo Maria; Jenssen, Robert. Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognition (ISSN 0031-3203). 90 pp 257-270. doi: 10.1016/j.patcog.2019.01.033. 2019. Arkiv
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 (ISSN 2332-7707). 6(1) pp 11-21. doi: 10.1109/JPETS.2018.2881429. 2019. Arkiv
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 (ISSN 1748-670X). 2019 doi: 10.1155/2019/2059851. 2019. Arkiv
Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Analysis (ISSN 1361-8415). doi: 10.1016/j.media.2019.101619. 2019. Arkiv
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 (ISSN 1520-6149). 2019-May pp 3257-3261. doi: 10.1109/ICASSP.2019.8682365. 2019.
Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based approach to clustering. Neural Networks (ISSN 0893-6080). 113 pp 91-101. doi: 10.1016/j.neunet.2019.01.015. 2019. Arkiv
Bianchi, Filippo Maria; Livi, Lorenzo; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Jenssen, Robert. Learning representations of multivariate time series with missing data. Pattern Recognition (ISSN 0031-3203). 96:106973 pp 1-11. doi: 10.1016/j.patcog.2019.106973. 2019. Arkiv
2018
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 (ISSN 1939-1404). 11(6) pp 1758-1768. doi: 10.1109/JSTARS.2018.2834961. 2018. Arkiv Fulltekst
Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo. The deep kernelized autoencoder. Applied Soft Computing (ISSN 1568-4946). 71 pp 816-825. doi: 10.1016/j.asoc.2018.07.029. 2018. Arkiv
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 (ISSN 1520-6149). 2018-April pp 2851-2855. doi: 10.1109/ICASSP.2018.8462132. 2018. Arkiv
2017
Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Ruiz, Cristina Soguero; Jenssen, Robert. Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognition (ISSN 0031-3203). 76 pp 569-581. doi: 10.1016/j.patcog.2017.11.030. 2017. Arkiv Fulltekst
Myhre, Jonas Nordhaug; Jenssen, Robert; Mikalsen, Karl Øyvind; Løkse, Sigurd. Robust clustering using a kNN mode seeking ensemble. Pattern Recognition (ISSN 0031-3203). 76 pp 491-505. doi: 10.1016/j.patcog.2017.11.023. 2017. Arkiv Fulltekst Prosjekt
Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Jensen, Kasper; Hindberg, Kristian; Gran, Mads; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Skrøvseth, Stein Olav; Godtliebsen, Fred; Jenssen, Robert. Using anchors from free text in electronic health records to diagnose postoperative delirium. Computer Methods and Programs in Biomedicine (ISSN 0169-2607). 152 pp 105-114. doi: 10.1016/j.cmpb.2017.09.014. 2017. Arkiv
Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare; Jenssen, Robert. Multiplex visibility graphs to investigate recurrent neural network dynamics. Scientific Reports (ISSN 2045-2322). 7 pp 1-13. doi: 10.1038/srep44037. 2017. Arkiv
Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert. Training Echo State Networks with Regularization Through Dimensionality Reduction. Cognitive Computation (ISSN 1866-9956). 9(3) pp 364-378. doi: 10.1007/s12559-017-9450-z. 2017. Arkiv
Løkse, Sigurd; Bianchi, Filippo Maria; Salberg, Arnt Børre; Jenssen, Robert. Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 10269 LNCS pp 431-442. doi: 10.1007/978-3-319-59126-1_36. 2017. Arkiv
Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo. Deep kernelized autoencoders. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 10269 LNCS pp 419-430. doi: 10.1007/978-3-319-59126-1_35. 2017. Arkiv
2016
Izquierdo-Verdiguier, Emma; Laparra, Valero; Jenssen, Robert; Gómez-Chova, Luis; Camps-Valls, Gustau. Optimized Kernel Entropy Components. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). 28(6) pp 1466-1472. doi: 10.1109/TNNLS.2016.2530403. 2016.
Blix, Katalin; Camps-Valls, Gustau; Jenssen, Robert. Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (ISSN 1939-1404). 10(4) pp 1265-1277. doi: 10.1109/JSTARS.2016.2641583. 2016. Arkiv
Soguero-Ruiz, Cristina; Hindberg, Kristian; Mora-Jimenez, Inmaculada; Rojo-Álvarez, José Luis; Skrøvseth, Stein Olav; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Augestad, Knut Magne; Jenssen, Robert. Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. Journal of Biomedical Informatics (ISSN 1532-0464). 61 pp 87-96. doi: 10.1016/j.jbi.2016.03.008. 2016.
Kampffmeyer, Michael C.; Salberg, Arnt-Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (ISSN 2160-7508). pp 680-688. doi: 10.1109/CVPRW.2016.90. 2016.
Soguero-Ruiz, Cristina; Hindberg, Kristian; Rojo-Álvarez, José Luis; Skrøvseth, Stein Olav; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Augestad, Knut Magne; Jenssen, Robert. Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records. IEEE journal of biomedical and health informatics (ISSN 2168-2194). 20(5) pp 1404-1415. doi: 10.1109/JBHI.2014.2361688. 2016.
2015
Izquierdo-Verdiguier, Emma; Jenssen, Robert; Gómez-Chova, Luis; Camps-Valls, Gustavo. Spectral clustering with the probabilistic cluster kernel. Neurocomputing (ISSN 0925-2312). 149 pp 1299-1304. doi: 10.1016/j.neucom.2014.08.068. 2015.
Soguero-Ruiz, Cristina; Wang, Fei; Jenssen, Robert; Augestad, Knut Magne; Álvarez, JL; Jiménez, Inmaculada Mora; Lindsetmo, Rolv-Ole; Skrøvseth, Stein Olav. Data-driven Temporal Prediction of Surgical Site Infection. AMIA Annual Symposium Proceedings (ISSN 1559-4076). 2015.
Soguero-Ruiz, Cristina; Jenssen, Robert. Kernel covariance series smoothing. IEEE Workshop on Machine Learning for Signal Processing (ISSN 2161-0363). 2015-November pp 1-6. doi: 10.1109/MLSP.2015.7324380. 2015.
2014
Salberg, Arnt Børre; Larsen, Siri Øyen; Jenssen, Robert. Classification of ocean surface slicks in hybrid-polarimetric SAR data. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 9244 doi: 10.1117/12.2067474. 2014.
Vikjord, Vidar Vangen; Jenssen, Robert. Information theoretic clustering using a k-nearest neighbors approach. Pattern Recognition (ISSN 0031-3203). 47(9) pp 3070-3081. doi: 10.1016/j.patcog.2014.03.018. 2014.
2013
Jenssen, Robert; Vikjord, Vidar Vangen. A new information theoretic clustering algorithm based on k-nn. IEEE Workshop on Machine Learning for Signal Processing (ISSN 2161-0363). pp 1-6. doi: 10.1109/MLSP.2013.6661968. 2013.
Jenssen, Robert. Mean vector component analysis: A New approach to un-centered PCA for non-negative data. IEEE Workshop on Machine Learning for Signal Processing (ISSN 2161-0363). pp 1-6. doi: 10.1109/MLSP.2013.6661966. 2013.
Jenssen, Robert. Mean Vector Component Analysis for Visualization and Clustering of Nonnegative Data. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). 24(10) pp 1553-1564. doi: 10.1109/TNNLS.2013.2262774. 2013.
Jenssen, Robert. Entropy-relevant dimensions in the kernel feature space. IEEE Signal Processing Magazine (ISSN 1053-5888). 30(4) pp 30-39. doi: 10.1109/MSP.2013.2249692. 2013.
2012
Jenssen, Robert; Kloft, Marius; Zien, Alexander; Sonnenburg, Soeren; Müller, Klaus R.. A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines. PLOS ONE (ISSN 1932-6203). 7(10) doi: 10.1371/journal.pone.0042947. 2012. Arkiv
Gómez-Chova, Luis; Jenssen, Robert; Camps-Valls, Gustavo. Kernel Entropy Component Analysis for Remote Sensing Image Clustering. IEEE Geoscience and Remote Sensing Letters (ISSN 1545-598X). 9(2) pp 312-316. doi: 10.1109/LGRS.2011.2167212. 2012.
Salberg, Arnt Børre; Jenssen, Robert. Land-cover classification of partly missing data using support vector machines. International Journal of Remote Sensing (ISSN 0143-1161). 33(14) pp 4471-4481. doi: 10.1080/01431161.2011.648378. 2012.
2010
Jenssen, Robert. Kernel Entropy Component Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (ISSN 0162-8828). 32(5) pp 847-860. doi: 10.1109/TPAMI.2009.100. 2010.
2008
Ozertem, Umut; Erdogmus, Deniz; Jenssen, Robert. Mean shift spectral clustering. Pattern Recognition (ISSN 0031-3203). 41 pp 1924-1938. doi: 10.1016/j.patcog.2007.09.009. 2008.
2007
Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth; Principe, Jose; Eltoft, Torbjørn. Information Cut for Clustering using a Gradient Descent Approach. Pattern Recognition (ISSN 0031-3203). 40 pp 796-806. 2007.
Jenssen, Robert; Erdogmus, Deniz; Principe, Jose C.; Eltoft, Torbjørn. The Laplacian classifier. IEEE Transactions on Signal Processing (ISSN 1053-587X). 55 pp 3262-3271. doi: 10.1109/TSP.2007.894391. 2007.
2006
Jenssen, Robert; Eltoft, Torbjørn; Erdogmus, Deniz; Principe, Jose. Some Equivalences Between Kernel Methods and Information Theoretic Methods. Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology (ISSN 0922-5773). 45 pp 49-65. 2006.
Erdogmus, Deniz; Jenssen, Robert; Rao, Yadunandana; Principe, Jose. Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology (ISSN 0922-5773). 45 pp 67-83. 2006.
Jenssen, Robert; Principe, Jose; Erdogmus, Deniz; Eltoft, Torbjørn. The Cauchy-Schwarz Divergence and Parzen Windowing: Connections to Graph Theory and Mercer Kernels. Journal of the Franklin Institute (ISSN 0016-0032). 343 pp 614-629. 2006.
Ozertem, Umut; Erdogmus, Deniz; Jenssen, Robert. Spectral feature projections that maximize Shannon mutual information with class labels. Pattern Recognition (ISSN 0031-3203). 39 pp 1241-1252. 2006.
2005
Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth E.; Principe, Jose c.; Eltoft, Torbjørn. Optimizing the Cauchy-Schwarz PDF distance for information theoretic, non-parametric clustering. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 3757 2005.
2003
Jenssen, Robert; Eltoft, Torbjørn. Independent Component Analysis for Texture Segmentation. Pattern Recognition (ISSN 0031-3203). 36(10) pp 2301-2315. 2003.
Academic literature review
2018
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 (ISSN 0142-0615). 99 pp 107-120. doi: 10.1016/j.ijepes.2017.12.016. 2018. Arkiv
Academic chapter/article/Conference paper
2021
Ren, Huamin; Bianchi, Filippo Maria; Li, Jingyue; Olsen, Rasmus L.; Jenssen, Robert; Anfinsen, Stian Normann. Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms. In: Proceeding of the 2021 IEEE International Conference on Consumer Electronics (ICCE). (ISBN 978-1-7281-9766-1). doi: 10.1109/ICCE50685.2021.9427652. 2021.
2020
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. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 212-218. doi: 10.1109/CVPRW50498.2020.00032. 2020. Arkiv Fulltekst
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 199-205. doi: 10.1109/CVPRW50498.2020.00030. 2020. Arkiv Omtale Fulltekst Sammendrag Data Prosjekt
Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Jenssen, Robert. A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. In: Explainable AI in Healthcare and Medicine. (ISBN 9783030533519). 2020.
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt-Børre. Self-Constructing Graph Convolutional Networks for Semantic Labeling. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9324719. 2020. Arkiv
2019
Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. In: Joint Urban Remote Sensing Event, JURSE 2019. (ISBN 978-1-7281-0009-8). pp 1-4. doi: 10.1109/JURSE.2019.8809046. 2019. Omtale Fulltekst
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Proceedings. (ISBN 978-1-5386-9154-0). pp 5041-5044. doi: 10.1109/IGARSS.2019.8900082. 2019. Omtale
2018
Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert. Uncertainty modeling and interpretability in convolutional neural networks for polyp segmentation. In: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP). (ISBN 978-1-5386-5477-4). doi: 10.1109/MLSP.2018.8516998. 2018.
Liu, Qinghui; Salberg, Arnt Børre; Jenssen, Robert. A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. (ISBN 978-1-5386-7150-4). pp 6943-6946. doi: 10.1109/IGARSS.2018.8518533. 2018. Omtale Fulltekst
Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Mora-Jiménez, Inmaculada; Caballero López Fando, Isabel; Jenssen, Robert. Using multi-anchors to identify patients suffering from multimorbidities. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). (ISBN 978-1-5386-5488-0). pp 1514-1521. doi: 10.1109/BIBM.2018.8621213. 2018.
Hansen, Mads Adrian; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Soguero-Ruiz, Cristina; Jenssen, Robert. Towards deep anchor learning. In: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2018). (ISBN 9781538624067). pp 315-318. doi: 10.1109/BHI.2018.8333432. 2018.
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. In: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2018). (ISBN 9781538624067). pp 307-310. doi: 10.1109/BHI.2018.8333430. 2018.
Bianchi, Filippo Maria; Scardapane, Simone; Løkse, Sigurd; Jenssen, Robert. Bidirectional deep-readout echo state networks. In: ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. pp 425-430. 2018. Fulltekst
Bianchi, Filippo Maria; Mikalsen, Karl Øyvind; Jenssen, Robert. Learning compressed representations of blood samples time series with missing data. In: ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. doi: 10.1016/j.patcog.2019.106973. 2018.
2017
Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Ruiz, Cristina Soguero; Jenssen, Robert. The time series cluster kernel. In: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). (ISBN 978-1-5090-6341-3). 2017.
Bianchi, Filippo Maria; Kampffmeyer, Michael C.; Maiorino, Enrico; Jenssen, Robert. Temporal overdrive recurrent neural network. In: 2017 International Joint Conference on Neural Networks (IJCNN). (ISBN 978-1-5090-6182-2). pp 4275-4282. doi: 10.1109/IJCNN.2017.7966397. 2017.
Luppino, Luigi Tommaso; Anfinsen, Stian Normann; Moser, Gabriele; Jenssen, Robert; Bianchi, Filippo Maria; Serpico, Sebastian Bruno; Mercier, Gregoire. A clustering approach to heterogeneous change detection. In: Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. (ISBN 978-3-319-59128-5). pp 181-192. doi: 10.1007/978-3-319-59129-2_16. 2017. Fulltekst
Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based clustering. In: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). (ISBN 978-1-5090-6341-3). doi: 10.1109/MLSP.2017.8168158. 2017. Fulltekst
Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data using deep convolutional neural networks. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). (ISBN 978-1-5090-4951-6). pp 5161-5164. doi: 10.1109/IGARSS.2017.8128164. 2017. Fulltekst
Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Density ridge manifold traversal. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (ISBN 978-1-5090-4117-6). pp 2342-2346. doi: 10.1109/ICASSP.2017.7952575. 2017.
Bianchi, Filippo Maria; Livi, Lorenzo; Jenssen, Robert; Alippi, Cesare. Critical echo state network dynamics by means of Fisher information maximization. In: 2017 International Joint Conference on Neural Networks (IJCNN). (ISBN 978-1-5090-6182-2). pp 852-858. doi: 10.1109/IJCNN.2017.7965941. 2017.
2015
Myhre, Jonas Nordhaug; Mikalsen, Karl Øyvind; Løkse, Sigurd; Jenssen, Robert. Consensus Clustering Using kNN Mode Seeking. In: Image Analysis : 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings. (ISBN 978-3-319-19665-7). pp 175-186. doi: 10.1007/978-3-319-19665-7_15. 2015.
2012
Jenssen, Robert; Myhre, Jonas Nordhaug. MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO. In: PROCEEDINGS OF MLSP2012. (ISBN 978‐1‐4673‐1026‐0). pp 1-6. doi: 10.1109/mlsp.2012.6349814. 2012. Fulltekst
2010
Jenssen, Robert; Principe, J. C.; Xu, Jianwu; Paiva, Antonio. A Reproducing Kernel Kernel Hilbert Space Framework for ITL. In: Information Theoretic Learning: Renyi Entropy and Kernel Perspectives. (ISBN 978-1-4419-1569-6). pp 351-384. 2010. Data
Jenssen, Robert; Principe, J. C.; Gockay, E.; Rao, S.. Clustering with ITL Principles. In: Information Theoretic Learning: Renyi Entropy and Kernel Perspectives. (ISBN 978-1-4419-1569-6). pp 263-298. 2010. Data
2009
Jenssen, Robert; Storås, Ola Kvisle. Kernel Entropy Component Analysis Pre-Images for Pattern Denoising. In: Image Analysis. 16th Scandinavian Conference, SCIA 2009 Oslo Norway, June 2009. Proceedings. (ISBN 3-642-02229-4). pp 626-635. 2009. Omtale
Jenssen, Robert. Information Theoretic Learning and Kernel Methods. In: Information Theory and Statistical Learning. (ISBN 978-0-387-84815-0). pp 209-230. 2009. Data
Academic lecture
2022
Trosten, Daniel Johansen; Wickstrøm, Kristoffer; Yu, Shujian; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael. Deep Clustering with the Cauchy-Schwarz Divergence. The AAAI-22 Workshop on Information Theory for Deep Learning (IT4DL); Digitalt, 2/28/2022.
2021
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, 6/20/2021 - 6/21/2021. Fulltekst Omtale Sammendrag
Hansen, Stine; Gautam, Srishti; Jenssen, Robert; Kampffmeyer, Michael. Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision. NOBIM 2021; Radisson Blu Airport Hotel på Gardermoen, 9/13/2021 - 9/14/2021.
Wickstrøm, Kristoffer Knutsen; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Revhaug, Arthur; Jenssen, Robert. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference 2021; Tromsø, 1/18/2021 - 1/20/2021.
Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael; Jenssen, Robert. Advances in explainable DL & how to model uncertainty in explainability. Visual Intelligence seminar series; Digital, 2/8/2021.
Wickstrøm, Kristoffer Knutsen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 - 9/14/2021.
Jenssen, Robert. Machine learning for risk analysis and personalized medicine using data from electronic health records and PET imaging. Nordic Patient oriented Products Conference, 3/16/2021.
Jenssen, Robert. Industrial and basic deep learning research for computer vision with limited labels. Swedish Symposium on Deep Learning and Image Analysis, 3/15/2021.
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, 8/15/2021 - 8/16/2021. Arkiv Fulltekst
2020
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; Seattle (online), 6/14/2020 - 6/19/2020. Fulltekst Omtale Sammendrag
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. SCG-Net for Semantic Labeling. IGARSS 2020; Virtual Symposium, 9/26/2020 - 10/2/2020. Fulltekst
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; Seattle (Online), 6/14/2020 - 6/19/2020. Prosjekt Fulltekst
2019
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); La Spezia, 10/8/2019 - 10/10/2019. Fulltekst
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; Yokohama, 7/27/2019 - 8/2/2019. Omtale
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; Tromsø, 1/8/2019 - 1/10/2019. Omtale
2017
Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data using deep convolutional neural networks. 2017 IEEE International Geoscience and Remote Sensing Symposium; Fort Worth, TX, 7/23/2017 - 7/28/2017. Fulltekst
2016
Myhre, Jonas; Mikalsen, Karl Øyvind; Løkse, Sigurd; Jenssen, Robert. Robust Non-Parametric Mode Clustering. NIPS workshop on Adaptive and Scalable Nonparametric Methods in Machine Learning, 12/10/2016.
Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Soguero-Ruiz, Cristina; Skrøvseth, Stein Olav; Lindsetmo, Rolv-Ole; Revhaug, Arthur; Jenssen, Robert. Learning similarities between irregularly sampled short multivariate time series from EHRs. 3rd International Workshop on Pattern Recognition for Healthcare Analytics at ICPR 2016; Cancun, 12/4/2016. Arkiv
Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition Workshops; Las Vegas, 7/1/2016. Fulltekst
2015
Soguero-Ruiz, Cristina; Jenssen, Robert. Kernel Covariance Series Smoothing. IEEE Conf. Machine Learning for Signal Processing, 9/17/2015 - 9/20/2015.
Soguero-Ruiz, Cristina; Hindberg, Kristian; Mora-Jimenez, Inmaculada; Rojo-Alvarez, Jose Luis; Skrøvseth, Stein Olav; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Augestad, Knut Magne; Jenssen, Robert. Prediction of Surgical Complications using Heterogeneous Clinical Data and Kernel Methods. NIPS workshop on machine learning in healthcare, 12/10/2015.
Blix, Katalin; Camps-Valls, Gustavo; Jenssen, Robert. Sensitivity Analysis of Gaussian Processes for Oceanic Chlorophyll Prediction. IGARSS, 6/26/2015 - 7/1/2015.
2014
Soguero-Ruiz, Cristina; Mora-Jimenez, Inmaculada; Rojo-Alvarez, Jose Luis; Hindberg, Kristian; Godtliebsen, Fred; Mortensen, Kim Erlend; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Skrøvseth, Stein Olav; Augestad, Knut Magne; Jenssen, Robert. Feature selection using Kernel Component Analysis For Early Detection Of Anastomosis Leakage. 2nd International Workshop on Pattern Recognition for Healthcare Analytics; Stockholm, 8/24/2014. Fulltekst
2013
Jenssen, Robert; Vikjord, Vidar. A new information theoretic clustering algorithm based on k-nn. IEEE Workshop on machine learning for signal processing, 9/22/2013 - 9/25/2013.
Jenssen, Robert. Mean vector component analysis: A New approach to un-centered PCA. IEEE Machine Learning for Signal Processing, 9/22/2013 - 9/25/2013.
Jenssen, Robert. Entropy-Relevant Dimensions in Kernel Feature Space. University College London, Center for Computational Statistics and Machine Learning Lunch Talk, 4/5/2013.
Jenssen, Robert. Machine learning and applications at the University of Tromso. Steering Committee Meeting at the Univ Antwerp; University of Antwerp, 6/19/2013.
2012
Myhre, Jonas Nordhaug; Jenssen, Robert. MIXTURE WEIGHT INFLUENCE ON KERNEL ENTROPY COMPONENT ANALYSIS AND SEMI-SUPERVISED LEARNING USING THE LASSO. IEEE Workshop in Machine Learning for Signal Processing, 9/23/2012 - 9/26/2012.
Jenssen, Robert. Kernel Entropy Component Analysis: A Unifying View. Invited Talk DTU Informatics and the Signal Processing Chapter of the IEEE Denmark Section, 11/9/2012.
Jenssen, Robert. NST - IBM Workshop: Machine Learning @ UiT. NST - IBM Workshop, 11/1/2012.
Jenssen, Robert. Background on Information Theoretic Learning. Talk at the DTU Informatics (Technical University of Denmark), 10/4/2012.
2011
Jenssen, Robert. Kernel Entropy Component Analysis. Invitert foredrag Technical University of Berlin, 8/5/2011.
Gomez-Chova, Luis; Jenssen, Robert; Camps-Valls, Gustavo. Kernel Entropy Component Analysis in Remote Sensing Data Clustering. International Geoscience and Remote Sensing Symposium, 7/24/2011 - 7/29/2011.
Jenssen, Robert; Kloft, Marius; Sonnenburg, Soeren; Zien, Alexander; Muller, Klaus-Robert. A New Scatter-Based Multi-Class Support Vector Machine. IEEE Workshop on Machine Learning for Signal Processing, 9/18/2011 - 9/21/2011.
Jenssen, Robert. Kernel Entropy Component Analysis: New Theory and Semi-Supervised Learning. IEEE Workshop on Machine Learning for Signal Processing, 9/18/2011 - 9/21/2011.
2008
Jenssen, Robert. New Information Theoretic Learning and Kernel Methods. Keynote talk, NOBIM 2008 Conference, 6/5/2008 - 6/6/2008.
2007
Anfinsen, Stian Normann; Jenssen, Robert; Eltoft, Torbjørn. Spectral Clustering of Polarimetric SAR Data with Wishart Derived Distance Measure. Proc. 3rd Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR 2007); Frascati, 1/22/2007 - 1/26/2007. Fulltekst
Jenssen, Robert. Indefinite Parzen Window for Spectral Clustering. IEEE Conference on Machine Learning for Signal Processing, 8/27/2007 - 8/29/2007.
2006
Anfinsen, Stian Normann; Jenssen, Robert; Eltoft, Torbjørn. Classification of Polarimetric SAR Data with an Information Theoretic Kernel Method. International Geoscience and Remote Sensing Symposium; Denver, 7/31/2006 - 8/4/2006.
2005
Xu, Jianwu; Erdogmus, Deniz; Jenssen, Robert; Principe, Jose. An Information Theoretic Perspective to Kernel Independent Component Analysis. International Conference on Acoustics, Speech and Signal Processing, 3/16/2005 - 3/23/2005.
2004
Jenssen, Robert. The Information Cut and Graph Spectral Clustering. Invited Talk at the Computational NeuroEngineering Laboratory, University of Florida, 3/3/2004.
2003
Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth E.; Principe, Jose c.; Eltoft, Torbjørn. Clustering using Renyi's Entropy. Int. Joint Conference on Neural Networks; Portland, 7/20/2003 - 7/24/2003.
Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth E.; Principe, Jose c.; Eltoft, Torbjørn. Information Force Clustering using Directed Trees. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition; Lisbon, 7/7/2003 - 7/9/2003.
Jenssen, Robert; Principe, Jose c.; Eltoft, Torbjørn. Information Cut and Information Forces for Clustering. IEEE Int. Workshop on Neural Networks for Signal Processing; Toulouse, 9/17/2003 - 9/19/2003.
Jenssen, Robert; Principe, Jose c.; Eltoft, Torbjørn. Cauchy-Schwartz pdf Divergence Measure for non-Parametric Clustering. Norwgian Symposium in Signal Processing 2003; Bergen, 10/2/2003 - 10/4/2004.
2001
Jenssen, Robert; Øigård, Tor Arne; Eltoft, Torbjørn; Hanssen, Alfred. Sparse code shrinkage based on the normal inverse Gaussian density model. 3rd Int. Conf. on Independent Component Analysis and Blind Signal Separation; San Diego, CA, 12/9/2001 - 12/12/2001.
Jenssen, Robert; Øigård, Tor Arne; Eltoft, Torbjørn; Hanssen, Alfred. Sparse code shrinkage based on the normal inverse Gaussian density model. Proceedings of NORSIG'01; Trondheim, 10/1/2001.
Lecture
2021
Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 7:00:00 AM - 9/14/2021 7:00:00 AM.
Løkse, Sigurd Eivindson; Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 2:00:00 AM - 9/14/2021 2:00:00 PM.
Jenssen, Robert. Hvilken rolle kan kunstig intelligens ha i et kvinnehelseperspektiv? Presentasjon for Kvinnehelseutvalget; Tromsø, 11/26/2021.
Jenssen, Robert. Spearheading AI research and innovation in Norway. Besøk av UK Deputy Minister og UK Ambassadør i Norrge; Tromsø, 11/23/2021.
Jenssen, Robert; Solheim, Inger. Visual Intelligence SFI Overview. NORA.startup and NORA.EU (EU Network to Horizon Europe on AI) Event; The Norwegian Research Council, 10/21/2021.
Jenssen, Robert. Hvordan kan kunstig intelligens være en del av fremtidens helsetjeneste? Farmasidagene 2021, 11/12/2021.
Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Revhaug, Arthur. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference; Tromsø, 1/18/2020 1:00:00 AM - 1/20/2020 1:00:00 AM.
Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Løkse, Sigurd Eivindson. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring Konferanse; Oslo, 9/13/2021 2:00:00 AM - 9/14/2021.
Jenssen, Robert. Solving research challenges in deep learning to enable innovations. SFI NorwAI Innovate, 10/21/2021.
Jenssen, Robert. Industrial and basic deep learning research for computer vision with limited labels. Bristol Interactive AI Summer School, 9/7/2021.
Jenssen, Robert. Artificial intelligence towards the future of medicine. The future of medicine, 11/5/2021.
Jenssen, Robert. Hvordan skal Norge og Nord-Norge ta føringen innen kunstig intelligens? NORGE 2030 - Hva skjer de neste 10 årene?, 6/16/2021.
Jenssen, Robert. Machine learning for risk analysis and personalized medicine using data from electronic health records and PET imaging. IMB conference, 6/14/2021.
Jenssen, Robert. Machine Learning and Visual Intelligence for decision support in healthcare and medical image analysis. DIPS Developer Days, 6/4/2021.
Jenssen, Robert. Machine Learning and Visual Intelligence for decision support in healthcare and medical image analysis. NORA / NAIL Webinar, 5/28/2021.
Jenssen, Robert. Åpning av senter for pasientnær kunstig intelligens - veien som har ført oss hit vi er i dag og veien videre. Midnattsolkonferansen, 6/15/2021.
Jenssen, Robert. Kunstig intelligens og maskinlæring. Forskning som forandrer samfunnet og helsevesenet. Styremøte i Helse Nord, 2/23/2021.
Jenssen, Robert. Kunstig intelligens og maskinlæring inn i helsetjenesten. Nasjonal samarbeidsgruppe for helseforskning i spesialisthelsetjenesten, 3/17/2021.
Jenssen, Robert. Maskinlæring for identifisering av risikopasienter. Hvordan kan kunstig intelligens og digitalisering påvirke legemiddelbehandling og – håndtering?, 3/11/2021.
Jenssen, Robert. Kunstig intelligens og maskinlæring - på full fart inn i helsevesenet. Norske medisinstudenters forening, 2/3/2021.
Jenssen, Robert. NORA forklarer kunstig intelligens. Episode 1 - Robert Jenssen forklarer kunstig intelligens innen helseforskning, computer vision og bildeanalyse. Podcast - NORA forklarer kunstig intelligens, 12/15/2021.
2014
Soguero-Ruiz, Cristina; Skrøvseth, Stein Olav; Augestad, Knut Magne; Jenssen, Robert. Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on, 6/1/2014 - 6/4/2014.
Poster
2022
Wickstrøm, Kristoffer Knutsen; Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference 2022, 1/11/2022 - 1/12/2022.
Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference; Tromsø, 1/11/2022 - 1/12/2022.
2021
Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Eikvil, Line; Jenssen, Robert. Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data. SFI Visual Intelligence days 2021; Scandic hotel st.Olav, Oslo, Norway, 10/18/2021 - 10/20/2021.
2020
Choi, Changkyu; Kampffmeyer, Michael; Jenssen, Robert. A Robustness Analysis of Personalized Propagation of Neural Prediction. Northern Lights Deep Learning Workshop (NLDL) 2020; UiT The Arctic University of Norway, Tromsø, 1/19/2020 - 1/21/2020.
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; UiT The Arctic University of Norway, Tromsø, 1/19/2020 - 1/21/2020. Arkiv Fulltekst
2019
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; Vannes, 5/22/2019 - 5/24/2019.
2018
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; Valencia, 7/22/2018 - 7/27/2018. Fulltekst Sammendrag
2016
Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning, 6/23/2016.
Myhre, Jonas Nordhaug; Jenssen, Robert; Erdogmus, Deniz; Shaker, Matineh; Kaba, M. Devrim. Geometric interpretation of density ridges. Geometry in Machine Learning workshop at ICML 2016, 6/26/2016.
Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs. CIFAR-CRM Deep Learning Summer School 2016, 8/7/2016.
2015
Mikalsen, Karl Øyvind; Jenssen, Robert; Godtliebsen, Fred; Skrøvseth, Stein Olav; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Hindberg, Kristian; Soguero-Ruiz, Cristina; Jensen, Kasper; Gran, Mads. Predicting Postoperative Delirium Using Anchors. NIPS 2015 Workshop on Machine Learning in Healthcare; Montreal, 12/15/2015.
2014
Agersborg, Jørgen Andreas; Jenssen, Robert. Mean Shift Spectral Clustering Using Kernel Entropy Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing; Reims, 9/21/2014 - 9/26/2014. Sammendrag
2006
Hild, Kenneth E.; Jenssen, Robert. Experimental Upper Bound for Convolutive Mixtures of Speech by Maximizing SIR. IEEE Machine Learning for Signal Processing Conference, 9/6/2006 - 9/8/2006.
Jenssen, Robert; Girolami, Mark; Eltoft, Torbjørn; Erdogmus, Deniz. Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. Advances in Neural Information Processing Systems Conference, 12/3/2006 - 12/10/2006.
Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. International Joint Conference on Neural Networks, 7/16/2006 - 7/21/2006.
Jenssen, Robert; Eltoft, Torbjørn. An Information Theoretic Perspective to Kernel K-Means. IEEE Machine Learning for Signal Processing Conference, 9/6/2006 - 9/8/2006.
2005
Jenssen, Robert; Erdogmus, Deniz; Hild, Kenneth; Principe, Jose; Eltoft, Torbjørn. Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-Parametric Clustering. Energy Minimization Methods in Computer Vision and Pattern Recognition, 11/9/2005 - 11/11/2005.
Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. The Laplacian Spectral Classifier. International Conference on Acoustics, Speech and Signal Processing, 3/16/2005 - 3/23/2005.
2004
Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. Neural Information Processing Systems, 12/8/2004 - 12/13/2004.
2003
Jenssen, Robert; Eltoft, Torbjørn. ICA Filter Bank for Segmentation of Textured Images. Int. Workshop on Independent Component Analysis and Blind Signal Separation; Nara, 4/1/2003 - 4/4/2003.
Erdogmus, Deniz; Fontela-romero, O.; Principe, Jose; Alonso-betanzos, A.; Castillo, E.; Jenssen, Robert. Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response. Int'l. Joint Conference on Neural Networks, 7/20/2003 - 7/24/2003.
Doctoral dissertation
2019
Mikalsen, Karl Øyvind. Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare. UiT Norges arktiske universitet. pp 201. 2019.
2018
Kampffmeyer, Michael C.. Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. UiT Norges arktiske universitet. pp 196. 2018.
Popular scientific lecture
2021
Jenssen, Robert. Horfor satse på kunstig intelligens? Statsforvalteren i Troms og Finnmark sitt høstmøte; Statsforvalteren i Troms og Finnmark, 10/25/2021.
Jenssen, Robert. Kunstig intelligens - Forstå verden. Forvreng verden? Demokratiserien; Det norske vitenskapsakademi, 9/25/2021.
Jenssen, Robert. Machine Learning Research, AI Technology and Ethical Considerations. Besøk av skoleklasse; SFI Visual Intelligence, 4/30/2021.
2012
Jenssen, Robert. Machine Learning for Data Analysis @ UiT. Talk at the Norwegian Centre for Integrated Care and Telemedicine, 6/20/2012.
2011
Jenssen, Robert. Machine Learning @ UiT. Studentforeninga Momentum, 11/15/2011.
2010
Jenssen, Robert. "Intelligente" læringssystemer: Fra leken Furby til spamfiltre til miljø. Science - who cares?; Fakultet for naturvitenskap og teknologi, UiT, Linken Tromsø, 9/2/2010.
2008
Jenssen, Robert. Maskinlæring for Dataanalyse: Eksempler på anvendelser, "close-up" på spamfilter og Google PageRank. Populærvitenskapelig forelesning i forbindelse med klassebesøk fra Honningsvåg på IFT, 2/6/2008.
Jenssen, Robert. Maskinlæring for Dataanalyse: Eksempler på anvendelser, "close-up" på spamfilter og Google PageRank. Mat.-Nat. populærvitenskapelig foredragsserie, 2/1/2008.
2005
Anfinsen, Stian Normann; Jenssen, Robert. Presentasjon av Institutt for fysikk, Forskningstorget 2005. Forskningstorget 2005, 9/23/2005 - 9/24/2005.
2004
Jenssen, Robert. Fysikk som Rocker: Multikonsert og hjernesignaler. Forskningstorget 2004, 9/17/2004.
Jenssen, Robert. Fysikk som Rocker: Multikonsert og hjernesignaler. Forskningstorget 2004, 9/18/2004.
Jenssen, Robert; Eltoft, Torbjørn; Principe, Jose. Information Theoretic Clustering: A Unifying Review of Three Recent Algorithms. Nordic Symposium on Signal Processing, 6/9/2004 - 6/11/2004.
Erdogmus, Deniz; Jenssen, Robert; Rao, Yadunandana; Principe, Jose. Multivariate Density Estimation with Optimal Marginal Parzen Density Estimation and Gaussianization. Machine Learning for Signal Processing, 9/29/2004 - 10/1/2004.
Jenssen, Robert; Erdogmus, Deniz; Principe, Jose; Eltoft, Torbjørn. Towards a Unification of Information Theoretic Learning and Kernel Methods. Machine Learning for Signal Processing, 1/29/2004 - 10/1/2004.
Jenssen, Robert; Eltoft, Torbjørn; Principe, Jose. Information Theoretic Spectral Clustering. International Joint Conference on Neural Networks, 7/25/2004 - 7/29/2004.
2003
Jenssen, Robert. Fysikk som Rocker. Forskningstorget 2003, 9/19/2003.
Jenssen, Robert. Fysikk som Rocker. Forskningstorget 2003, 9/20/2003.
2002
Jenssen, Robert. Institutt for Fysikk - Presentasjon til Ungdomskoleelever. Presentasjon av Institutt for Fysikk, 6/14/2002.
Jenssen, Robert. CD-spilleren og Multikonsert. Presentasjon av Institutt for Fysikk, 3/6/2002.
Jenssen, Robert. CD-spilleren og Multikonsert. Presentasjon av Institutt for Fysikk, 3/11/2002.
Jenssen, Robert. Taleseparering, CD-spiller og multikonsert. Åpen dag, Institutt for Fysikk, 2002, 1/8/2002.
Jenssen, Robert. Taleseparering. Åpen dag, Institutt for Fysikk 2002, 1/7/2002.
Jenssen, Robert. CD-spilleren og Multikonsert. Kreativ uke 2002, 3/12/2002.
2001
Jenssen, Robert. CD-spillerens virkemåte. Ingeniørenes dag 2001, 9/29/2001.
Jenssen, Robert. CD-spillerens virkemåte. Ingeniørenes dag 2001, 9/19/2001.
Article in business/trade/industry journal
2021
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 (ISSN 1718-3200). 16(3) pp 1-9. 2021. Arkiv
2010
Jenssen, Robert; Principe, J. C.. Information theoretic clustering. Scholarpedia (ISSN 1941-6016). 5 (10): 5189 doi: 10.4249/scholarpedia.5189. 2010. Data
Chapter
2016
Vikjord, Vidar Vangen; Jenssen, Robert. INFORMATION THEORETIC CLUSTERING USING A k-NEAREST NEIGHBORS-BASED DIVERGENCE MEASURE. 2016.
Interview
2021
Jenssen, Robert; Solberg, Anne H Schistad; Eikvil, Line. Norge er verdensledende på bildeanalyse med kunstig intelligens. 2021. 6/21/2021.
Jenssen, Robert. Visual Intelligence åpnet og klare til å løse viktige samfunnsutfordringer. 2021. uit.no [Internet] 1/14/2021.
Jenssen, Robert. Har "kapret" internasjonal avtale. 2021. uit.no [Internet] 7/2/2021.
Jenssen, Robert. UiT skal samarbeide med verdensledende institutt på forskning innen kunstig intelligens. 2021. iTromsø [Avis] 7/7/2021.
Jenssen, Robert. UiT skal samarbeide med verdensledende institutt på forskning innen kunstig intelligens. 2021. Folkebladet [Avis] 7/7/2021.
Jenssen, Robert. Robert skal lede nytt UiT-senter verdt 300 millioner kroner. 2021. iTromso [Avis] 1/17/2021.
2020
Goodwin, Morten; Pettersen, Klas Henning; Jenssen, Robert. Episode 1 - Robert Jenssen forklarer kunstig intelligens innen helseforskning, computer vision og bildanalyse. 2020. NORA forklarer kunstig intelligens [Internet] 12/15/2020. Data
2017
Os, Vibeke; Jenssen, Robert. Lager system i et kaos av digital informasjon. 2017. uit.no/nyheter [Internet] 1/16/2017. Fulltekst
2003
Hanssen, Alfred; Jenssen, Robert; Hindberg, Kristian. Fysikk som rocker. 2003. Programmet "Nordaførr" (P1) [Radio] 9/22/2003.
Hanssen, Alfred; Jenssen, Robert; Hindberg, Kristian. Fysikk som rocker. 2003. Programmet "Verdt å vite" (P2) [Radio] 9/22/2003.
Hanssen, Alfred; Jenssen, Robert; Hindberg, Kristian. Fysikk som rocker. 2003. Programmet "Norgesglasset" (P1) [Radio] 9/22/2003.
Academic monograph
2017
Bianchi, Filippo Maria; Maiorino, Enrico; Kampffmeyer, Michael C.; Rizzi, Antonello; Jenssen, Robert. Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis. 2017.
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR