Publications

Jonas Moss; Martin Tveten; kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels Journal of Open Source Software (JOSS), doi: https://doi.org/10.21105/joss.01566 , 2019. Scientific article

Martin Tveten; Å studere matematikk ved UiO 2019. Lecture popular

Martin Tveten; Online detection of sparse changes in high-dimensional data streams using tailored projections 2019. Scientific lecture

Marie Lilleborge; Solveig Hofvind; Association between BMI and subsequent breast cancer among women with a prior false-positive without biopsy in BreastScreen Norway 2019. Scientific lecture

Marie Lilleborge; Ragnhild Sørum Falk; Hege Elisabeth Giercksky Russnes; Torill Sauer; Giske Ursin; et al. Risk of breast cancer by prior screening results among women participating in BreastScreen Norway Cancer, pp. 3330 3337 , doi: https://doi.org/10.1002/cncr.32330 , 2019. Scientific article

Marie Lilleborge; Analyser av kvinners screeninghistorikk: Hvem får brystkreft? 2019. Scientific lecture

Yujia Zhang; Michael C. Kampffmeyer; Xiaoguang Zhao; Min Tan; Deep Reinforcement Learning for Query-Conditioned Video Summarization Applied Sciences, pp. 1 16 , doi: https://doi.org/10.3390/app9040750 , 2019. Scientific article

Michael C. Kampffmeyer; Yinbo Chen; Xiaodan Liang; Hao Wang; Yujia Zhang; et al. Rethinking knowledge graph propagation for zero-shot learning Computer Vision and Pattern Recognition, pp. 11479 11488 , doi: https://doi.org/10.1109/CVPR.2019.01175 , 2019. Scientific article

Daniel Johansen Trosten; Andreas Storvik Strauman; Michael C. Kampffmeyer; Robert Jenssen; 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, pp. 3257 3261 , doi: https://doi.org/10.1109/ICASSP.2019.8682365 , 2019. Scientific article

Kristoffer Knutsen Wickstrøm; Michael C. Kampffmeyer; Robert Jenssen; Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps Medical Image Analysis, doi: https://doi.org/10.1016/j.media.2019.101619 , 2019. Scientific article

Yujia Zhang; Michael C. Kampffmeyer; Xiaodan Liang; Dingwen Zhang; Min Tan; et al. Dilated temporal relational adversarial network for generic video summarization Multimedia Tools and Applications, pp. 35237 35261 , doi: https://doi.org/10.1007/s11042-019-08175-y , 2019. Scientific article

Torgeir Brenn; Lars-Petter Gjøvik; Gunnar Ljosdahl Rasmussen; Tony Bauna; Michael Kampffmeyer; et al. Operationalizing Ship Detection Using Deep Learning , 2019. Scientific lecture

Solveig Engebretsen; Ingrid Kristine Glad; Additive monotone regression in high and lower dimensions Statistics Surveys, pp. 1 51 , doi: https://doi.org/10.1214/19-SS124 , 2019. Scientific article

Solveig Engebretsen; Kenth Engø-Monsen; Arnoldo Frigessi Di Rattalma; Birgitte Freiesleben De Blasio; A theoretical single-parameter model for urbanisation to study infectious disease spread and interventions PLoS Computational Biology, pp. 36 , doi: https://doi.org/10.1371/journal.pcbi.1006879 , 2019. Scientific article

Solveig Engebretsen; Jon Bohlin; Statistical predictions with glmnet Clinical Epigenetics, pp. 3 , doi: https://doi.org/10.1186/s13148-019-0730-1 , 2019. Scientific article

Håkon Tjelmeland; Xin Luo; Torstein Mæland Fjeldstad; A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image Geophysical Prospecting, pp. 609 623 , doi: https://doi.org/10.1111/1365-2478.12753 , 2019. Scientific article

Torstein Mæland Fjeldstad; Henning Omre; Bayesian Inversion of Convolved Hidden Markov Models With Applications in Reservoir Prediction IEEE Transactions on Geoscience and Remote Sensing, pp. 1957 1968 , doi: https://doi.org/10.1109/TGRS.2019.2951205 , 2019. Scientific article

Håkon Tjelmeland; Xin Luo; Torstein Mæland Fjeldstad; A Flexible Markov Mesh Prior for Lithology/fluid Class Prediction 2019. Scientific lecture

Per Åge Avseth; Torstein Mæland Fjeldstad; Joint Probabilistic Seismic Inversion of Lithology/Fluid Classes and Petrophysical Properties Using Gaussian Mixture and Markov Random Field Prior Models 2019. Scientific lecture

Audun Stolpe; Unsettling Preferential Semantics Journal of Philosophical Logic, doi: https://doi.org/10.1007/s10992-019-09521-z , 2019. Scientific article