Niel Hens

According to our database, Niel Hens authored at least 25 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.

Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin

Expert Syst. Appl., 2024

Algorithms for Markov Binomial Chains.

Alejandro Alarcón Gonzalez, Niel Hens, Tim Leys, Guillermo A. Pérez

CoRR, 2024

Measuring Approximate Functional Dependencies: A Comparative Study.

Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration.

Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin

CoRR, 2023

2022

EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number.

Oswaldo Gressani, Jacco Wallinga, Christian L. Althaus, Niel Hens, Christel Faes

PLoS Comput. Biol., October, 2022

Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2.

Elise J. Kuylen, Andrea Torneri, Lander Willem, Pieter J. K. Libin, Steven Abrams, Pietro Coletti, Nicolas Franco, Frederik Verelst, Philippe Beutels, Jori Liesenborgs, Niel Hens

PLoS Comput. Biol., 2022

Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data.

Nicolas Franco, Pietro Coletti, Lander Willem, Leonardo Angeli, Adrien Lajot, Steven Abrams, Philippe Beutels, Christel Faes, Niel Hens

PLoS Comput. Biol., 2022

2021

On realized serial and generation intervals given control measures: The COVID-19 pandemic case.

Andrea Torneri, Pieter Libin, Gianpaolo Scalia Tomba, Christel Faes, James G. Wood, Niel Hens

PLoS Comput. Biol., 2021

Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics.

Pieter J. K. Libin, Lander Willem, Timothy Verstraeten, Andrea Torneri, Joris Vanderlocht, Niel Hens

PLoS Comput. Biol., 2021

2020

A flexible bimodal model with long-term survivors and different regression structures.

Thiago G. Ramires, Edwin M. M. Ortega, Artur J. Lemonte, Niel Hens, Gauss M. Cordeiro

Commun. Stat. Simul. Comput., 2020

Deep Reinforcement Learning for Large-Scale Epidemic Control.

Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Using Individual-Based Models to Look Beyond the Horizon: The Changing Effects of Household-Based Clustering of Susceptibility to Measles in the Next 20 Years.

Elise J. Kuylen, Jori Liesenborgs, Jan Broeckhove, Niel Hens

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Future Ramifications of Age-Dependent Immunity Levels for Measles: Explorations in an Individual-Based Model.

Elise J. Kuylen, Lander Willem, Niel Hens, Jan Broeckhove

Proceedings of the Computational Science - ICCS 2019, 2019

Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence.

Thomas Kovac, Tom Haber, Frank Van Reeth, Niel Hens

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model.

Thiago G. Ramires, Niel Hens, Gauss M. Cordeiro, Edwin M. M. Ortega

Comput. Stat., 2018

New regression model with four regression structures and computational aspects.

Thiago G. Ramires, Edwin M. M. Ortega, Gauss M. Cordeiro, Gilberto A. Paula, Niel Hens

Commun. Stat. Simul. Comput., 2018

Heterogeneous computing for epidemiological model fitting and simulation.

Thomas Kovac, Tom Haber, Frank Van Reeth, Niel Hens

BMC Bioinform., 2018

2016

Estimating Time of Infection Using Prior Serological and Individual Information Can Greatly Improve Incidence Estimation of Human and Wildlife Infections.

Benny Borremans, Niel Hens, Philippe Beutels, Herwig Leirs, Jonas Reijniers

PLoS Comput. Biol., 2016

2015

Optimizing agent-based transmission models for infectious diseases.

Lander Willem, Sean Stijven, Engelbert Tijskens, Philippe Beutels, Niel Hens, Jan Broeckhove

BMC Bioinform., 2015

2014

Active Learning to Understand Infectious Disease Models and Improve Policy Making.

Lander Willem, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels, Niel Hens

PLoS Comput. Biol., 2014

Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations.

A. Blommaert, Niel Hens, Philippe Beutels

Comput. Stat. Data Anal., 2014

2012

Living on Three Time Scales: The Dynamics of Plasma Cell and Antibody Populations Illustrated for Hepatitis A Virus.

Mathieu Andraud, Olivier Lejeune, Jammbe Z. Musoro, Benson Ogunjimi, Philippe Beutels, Niel Hens

PLoS Comput. Biol., 2012

A nonparametric approach to weighted estimating equations for regression analysis with missing covariates.

An Creemers, Marc Aerts, Niel Hens, Geert Molenberghs

Comput. Stat. Data Anal., 2012

2006

The nature of sensitivity in monotone missing not at random models.

Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aerts, Geert Verbeke, Michael G. Kenward

Comput. Stat. Data Anal., 2006

2005

Kernel weighted influence measures.

Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke

Comput. Stat. Data Anal., 2005