69 citations · 129 across the 9 of their papers we have counts for
9 papers
A Generative Shape Compositional Framework to Synthesise Populations of Virtual Chimaeras
Haoran Dou, Seppo Virtanen, Nishant Ravikumar +1
Generating virtual populations of anatomy that capture sufficient variability while remaining plausible is essential for conducting in-silico trials of medical devices. However, no…
Burglary in London: Insights from Statistical Heterogeneous Spatial Point Processes
Jan Povala, Seppo Virtanen, Mark Girolami
To obtain operational insights regarding the crime of burglary in London we consider the estimation of effects of covariates on the intensity of spatial point patterns. By taking i…
Visualizations Relevant to The User By Multi-View Latent Variable Factorization
Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski
A main goal of data visualization is to find, from among all the available alternatives, mappings to the 2D/3D display which are relevant to the user. Assuming user interaction dat…
Group Factor Analysis
Arto Klami, Seppo Virtanen, Eemeli Leppäaho +1
Factor analysis provides linear factors that describe relationships between individual variables of a data set. We extend this classical formulation into linear factors that descri…
Identification of structural features in chemicals associated with cancer drug response: A systematic data-driven analysis
Suleiman A Khan, Seppo Virtanen, Olli P Kallioniemi +3
Motivation: Analysis of relationships of drug structure to biological response is key to understanding off-target and unexpected drug effects, and for developing hypotheses on how…
Factorized Multi-Modal Topic Model
Seppo Virtanen, Yangqing Jia, Arto Klami +1
Multi-modal data collections, such as corpora of paired images and text snippets, require analysis methods beyond single-view component and topic models. For continuous observation…