366 citations
- University of OsloNO44 papers
- Norwegian University of Science and TechnologyNO15 papers
- SINTEFNO4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Joanneum ResearchAT3 papers
- Norwegian University of Life SciencesNO3 papers
- OsloMet – Oslo Metropolitan UniversityNO3 papers
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- University of AmsterdamNL3 papers
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10 papers · 1 filter
Reinforcement Learning-based Switching Controller for a Milliscale Robot in a Constrained Environment
Abbas Tariverdi, Ulysse Côté-Allard, Kim Mathiassen +4
This work presents a reinforcement learning-based switching control mechanism to autonomously move a ferromagnetic object (representing a milliscale robot) around obstacles within…
OncoEnrichR: cancer-dedicated gene set interpretation
Sigve Nakken, Sveinung Gundersen, Fabian L. M. Bernal +3
Genome-scale screening experiments in cancer produce long lists of candidate genes that require extensive interpretation for biological insight and prioritization for follow-up stu…
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Sharib Ali, Debesh Jha, Noha Ghatwary +12
Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the ri…
The EMPATHIC Project: Mid-term Achievements
M. I. Torres, J. M. Olaso, C. Montenegro +26
The goal of active aging is to promote changes in the elderly community so as to maintain an active, independent and socially-engaged lifestyle. Technological advancements currentl…
A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy
Xiaoran Lai, Håkon A. Taskén, Torgeir Mo +4
Mathematical modeling and simulation is a promising approach to personalized cancer medicine. Yet, the complexity, heterogeneity and multi-scale nature of cancer pose significant c…
Longitudinal modeling of age-dependent latent traits with generalized additive latent and mixed models
Øystein Sørensen, Anders M. Fjell, Kristine B. Walhovd
We present generalized additive latent and mixed models (GALAMMs) for analysis of clustered data with responses and latent variables depending smoothly on observed variables. A sca…