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Niel Hens
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2020 – today
- 2024
- [j18]Mathieu Reymond
, Conor F. Hayes
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. 249: 123686 (2024) - [c5]Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren:
Measuring Approximate Functional Dependencies: A Comparative Study. ICDE 2024: 3505-3518 - [i5]Alejandro Alarcón Gonzalez, Niel Hens, Tim Leys, Guillermo A. Pérez:
Algorithms for Markov Binomial Chains. CoRR abs/2408.04902 (2024) - 2023
- [i4]Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin:
Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration. CoRR abs/2301.12822 (2023) - [i3]Marcel Parciak
Measuring Approximate Functional Dependencies: a Comparative Study. CoRR abs/2312.06296 (2023) - 2022
- [j17]Nicolas Franco
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) - [j16]Elise J. Kuylen
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) - [j15]Oswaldo Gressani
EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number. PLoS Comput. Biol. 18(10): 1010618 (2022) - [i2]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 abs/2204.05027 (2022) - 2021
- [j14]Pieter J. K. Libin
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics. PLoS Comput. Biol. 17(3) (2021) - [j13]Andrea Torneri
On realized serial and generation intervals given control measures: The COVID-19 pandemic case. PLoS Comput. Biol. 17(3) (2021) - 2020
- [j12]Thiago G. Ramires
A flexible bimodal model with long-term survivors and different regression structures. Commun. Stat. Simul. Comput. 49(10): 2639-2660 (2020) - [c4]Elise J. 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: 385-398 - [c3]Pieter J. K. Libin, Arno Moonens
Deep Reinforcement Learning for Large-Scale Epidemic Control. ECML/PKDD (5) 2020: 155-170 - [i1]Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé:
Deep reinforcement learning for large-scale epidemic control. CoRR abs/2003.13676 (2020)
2010 – 2019
- 2019
- [c2]Thomas Kovac, Tom Haber, Frank Van Reeth
Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence. ICCS (3) 2019: 450-456 - [c1]Elise J. 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: 456-467 - 2018
- [j11]Thomas Kovac, Tom Haber, Frank Van Reeth
Heterogeneous computing for epidemiological model fitting and simulation. BMC Bioinform. 19(1): 101:1-101:11 (2018) - [j10]Thiago G. Ramires
New regression model with four regression structures and computational aspects. Commun. Stat. Simul. Comput. 47(7): 1940-1962 (2018) - [j9]Thiago G. Ramires
Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model. Comput. Stat. 33(2): 709-730 (2018) - 2016
- [j8]Benny Borremans
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) - 2015
- [j7]Lander Willem
Optimizing agent-based transmission models for infectious diseases. BMC Bioinform. 16: 183:1-183:10 (2015) - 2014
- [j6]A. Blommaert, Niel Hens
Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations. Comput. Stat. Data Anal. 71: 667-680 (2014) - [j5]Lander Willem
Active Learning to Understand Infectious Disease Models and Improve Policy Making. PLoS Comput. Biol. 10(4) (2014) - 2012
- [j4]An Creemers, Marc Aerts, Niel Hens
A nonparametric approach to weighted estimating equations for regression analysis with missing covariates. Comput. Stat. Data Anal. 56(1): 100-113 (2012) - [j3]Mathieu Andraud
Living on Three Time Scales: The Dynamics of Plasma Cell and Antibody Populations Illustrated for Hepatitis A Virus. PLoS Comput. Biol. 8(3) (2012)
2000 – 2009
- 2006
- [j2]Ivy Jansen, Niel Hens
The nature of sensitivity in monotone missing not at random models. Comput. Stat. Data Anal. 50(3): 830-858 (2006) - 2005
- [j1]Niel Hens
Kernel weighted influence measures. Comput. Stat. Data Anal. 48(3): 467-487 (2005)
Coauthor Index
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