activity
20162026
most citedA sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection

David Baumgartner, Helge Langseth, Kenth Engø-Monsen +1

This paper introduces temporal-conditioned normalizing flows (tcNF), a novel framework that addresses anomaly detection in time series data with accurate modeling of temporal depen…

physics.soc-ph2022

Effects of Non-Compulsory and Mandatory COVID-19 Interventions on Travel Distance and Time Away from Home: The Case of Norway in 2021

Meghana Kamineni, Kenth Engø-Monsen, Jørgen Eriksson Midtbø +4

Background: Due to the societal, economic, and health costs of COVID-19 non-pharmaceutical interventions (NPIs), it is important to assess their effects. Human mobility serves as a…

q-bio.PE2022★ 2 cited

A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case

Geir Storvik, Alfonso Diz-Lois Palomares, Solveig Engebretsen +5

During the first months, the Covid-19 pandemic has required most countries to implement complex sequences of non-pharmaceutical interventions, with the aim of controlling the trans…

cs.SI2017

The Social Bow Tie

Heather Mattie, Kenth Engø-Monsen, Rich Ling +1

Understanding tie strength in social networks, and the factors that influence it, have received much attention in a myriad of disciplines for decades. Several models incorporating…

cs.OH2016

Mobile phone data for public health: towards data-sharing solutions that protect individual privacy and national security

Caroline O. Buckee, Kenth Engø-Monsen

We outline the constraints faced by operators when deciding to share de-identified data with researchers or policy makers. We describe a conservative approach that we have taken to…