Kernel weighted influence measures. - Niel Hens; Marc Aerts; Geert Molenberghs; Herbert Thijs; Geert Verbeke (Comput. Stat. Data Anal., 2005)

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)

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)

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)

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)

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)

Optimizing agent-based transmission models for infectious diseases. - Lander Willem; Sean Stijven; Engelbert Tijskens; Philippe Beutels; Niel Hens; Jan Broeckhove (BMC Bioinform., 2015)

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)

Heterogeneous computing for epidemiological model fitting and simulation. - Thomas Kovac; Tom Haber; Frank Van Reeth; Niel Hens (BMC Bioinform., 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)

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)

Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence. - Thomas Kovac; Tom Haber; Frank Van Reeth; Niel Hens (ICCS (3), 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 (ICCS (1), 2019)

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 (ICCS (1), 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 (ECML/PKDD (5), 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)

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)

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)

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)

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)

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., 2022)

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)

Measuring Approximate Functional Dependencies: A Comparative Study. - Marcel Parciak; Sebastiaan Weytjens; Niel Hens; Frank Neven; Liesbet M. Peeters; Stijn Vansummeren (ICDE, 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)

Bayesian Nowcasting with Laplacian-P-Splines. - Bryan Sumalinab; Oswaldo Gressani; Niel Hens; Christel Faes (J. Comput. Graph. Stat., 2025)

Algorithms for Markov Binomial Chains. - Alejandro Alarcón Gonzalez; Niel Hens; Tim Leys; Guillermo A. Pérez 001 (Log. Methods Comput. Sci., 2025)

Non-traditional data in pandemic preparedness and response: identifying and addressing first and last-mile challenges. - Mattia Mazzoli; Irma Varela-Lasheras; Sonia Namorado; Constantino Pereira Caetano; Andreia Leite; Lisa Hermans; Niel Hens; Polen Türkmen; Kyriaki Kalimeri; Leo Ferres; Ciro Cattuto; Daniela Paolotti; et al. (CoRR, 2025)