Niel Hens

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 20

Top Topics

Regression Model

Heterogeneous Computing

Allocation Policies

Top Venues

PLoS Comput. Biol.

Publications

Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren
Measuring Approximate Functional Dependencies: A Comparative Study. ICDE (2024)
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. 249 (2024)
Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin
Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration. CoRR (2023)
Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren
Measuring Approximate Functional Dependencies: a Comparative Study. CoRR (2023)
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
Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2. PLoS Comput. Biol. 18 (8) (2022)
Oswaldo Gressani, Jacco Wallinga, Christian L. Althaus, Niel Hens, Christel Faes
EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number. PLoS Comput. Biol. 18 (10) (2022)
Nicolas Franco, Pietro Coletti, Lander Willem, Leonardo Angeli, Adrien Lajot, Steven Abrams, Philippe Beutels, Christel Faes, Niel Hens
Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data. PLoS Comput. Biol. 18 (3) (2022)
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. CoRR (2022)
Pieter J. K. Libin, Lander Willem, Timothy Verstraeten, Andrea Torneri, Joris Vanderlocht, Niel Hens
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics. PLoS Comput. Biol. 17 (3) (2021)
Andrea Torneri, Pieter Libin, Gianpaolo Scalia Tomba, Christel Faes, James G. Wood, Niel Hens
On realized serial and generation intervals given control measures: The COVID-19 pandemic case. PLoS Comput. Biol. 17 (3) (2021)
Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
Deep Reinforcement Learning for Large-Scale Epidemic Control. ECML/PKDD (5) (2020)
Thiago G. Ramires, Edwin M. M. Ortega, Artur J. Lemonte, Niel Hens, Gauss M. Cordeiro
A flexible bimodal model with long-term survivors and different regression structures. Commun. Stat. Simul. Comput. 49 (10) (2020)
Elise Kuylen, Jori Liesenborgs, Jan Broeckhove, Niel Hens
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. ICCS (1) (2020)
Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
Deep reinforcement learning for large-scale epidemic control. CoRR (2020)
Elise Kuylen, Lander Willem, Niel Hens, Jan Broeckhove
Future Ramifications of Age-Dependent Immunity Levels for Measles: Explorations in an Individual-Based Model. ICCS (1) (2019)
Thomas Kovac, Tom Haber, Frank Van Reeth, Niel Hens
Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence. ICCS (3) (2019)
Thiago G. Ramires, Niel Hens, Gauss M. Cordeiro, Edwin M. M. Ortega
Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model. Comput. Stat. 33 (2) (2018)
Thiago G. Ramires, Edwin M. M. Ortega, Gauss M. Cordeiro, Gilberto A. Paula, Niel Hens
New regression model with four regression structures and computational aspects. Commun. Stat. Simul. Comput. 47 (7) (2018)
Thomas Kovac, Tom Haber, Frank Van Reeth, Niel Hens
Heterogeneous computing for epidemiological model fitting and simulation. BMC Bioinform. 19 (1) (2018)
Benny Borremans, Niel Hens, Philippe Beutels, Herwig Leirs, Jonas Reijniers
Estimating Time of Infection Using Prior Serological and Individual Information Can Greatly Improve Incidence Estimation of Human and Wildlife Infections. PLoS Comput. Biol. 12 (5) (2016)
Lander Willem, Sean Stijven, Engelbert Tijskens, Philippe Beutels, Niel Hens, Jan Broeckhove
Optimizing agent-based transmission models for infectious diseases. BMC Bioinform. 16 (2015)
A. Blommaert, Niel Hens, Philippe Beutels
Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations. Comput. Stat. Data Anal. 71 (2014)
Lander Willem, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels, Niel Hens
Active Learning to Understand Infectious Disease Models and Improve Policy Making. PLoS Comput. Biol. 10 (4) (2014)
Mathieu Andraud, Olivier Lejeune, Jammbe Z. Musoro, Benson Ogunjimi, Philippe Beutels, Niel Hens
Living on Three Time Scales: The Dynamics of Plasma Cell and Antibody Populations Illustrated for Hepatitis A Virus. PLoS Comput. Biol. 8 (3) (2012)
An Creemers, Marc Aerts, Niel Hens, Geert Molenberghs
A nonparametric approach to weighted estimating equations for regression analysis with missing covariates. Comput. Stat. Data Anal. 56 (1) (2012)
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aerts, Geert Verbeke, Michael G. Kenward
The nature of sensitivity in monotone missing not at random models. Comput. Stat. Data Anal. 50 (3) (2006)
Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke
Kernel weighted influence measures. Comput. Stat. Data Anal. 48 (3) (2005)