Publications

Qinghua Liu; Marta Crispino; Ida Scheel; Valeria Vitelli; Arnoldo Frigessi Di Rattalma; Model-based learning from preference data Annual Review of Statistics and Its Application, pp. 329 354 , doi: https://doi.org/10.1146/annurev-statistics-031017-100213 , 2019. Scientific article

Xiaoran Lai; Oliver Geier; Thomas Fleischer; Øystein Garred; Elin Borgen; et al. Towards personalized computer simulation of breast cancer treatment: a multi-scale pharmacokinetic and pharmacodynamic model informed by multi-type patient data Cancer Research, pp. 4293 4304 , doi: https://doi.org/10.1158/0008-5472.CAN-18-1804 , 2019. Scientific article

David Swanson; Tonje Gulbrandsen Lien; Helga Bergholtz; Therese Sørlie; Arnoldo Frigessi Di Rattalma; A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort Bioinformatics, pp. 4886 4897 , doi: https://doi.org/10.1093/bioinformatics/btz381 , 2019. Scientific article

Qinghua Liu; Andrew Henry Reiner; Arnoldo Frigessi Di Rattalma; Ida Scheel; Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows model Knowledge-Based Systems, pp. 1 12 , doi: https://doi.org/10.1016/j.knosys.2019.104960 , 2019. Scientific article

Xavier Tekpli; Tonje Gulbrandsen Lien; Andreas Hagen Røssevold; Daniel J.H. Nebdal; Elin Borgen; et al. An independent poor-prognosis subtype of breast cancer defined by a distinct tumor immune microenvironment Nature Communications, pp. 1 14 , doi: https://doi.org/10.1038/s41467-019-13329-5 , 2019. Scientific article

Trenton Wade Schulz; Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task 2019. Scientific lecture

Laurent Prévot; Pierre Magistry; Pierre Lison; Should we use movie subtitles to study linguistic patterns of conversational speech? A study based on French, English and Taiwan Mandarin 2019. Scientific lecture

Dag Bjarne Tjøstheim; Discussion of Models as Approximations I & II Statistical Science, pp. 575 579 , doi: https://doi.org/10.1214/19-STS725 , 2019. Scientific article

Håkon Otneim; Dag Bjarne Tjøstheim; Measuring conditional dependence using the local Gaussian partial correlation 2019. Lecture

Martin Tveten; Which principal components are most sensitive in the change detection problem? Stat, doi: https://doi.org/10.1002/sta4.252 , 2019. Scientific article

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