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)

Prime-Time: Symbolic Regression Takes Its Place in the Real World. - Sean Stijven; Ekaterina Vladislavleva; Arthur K. Kordon; Lander Willem; Mark E. Kotanchek (GPTP, 2015)

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

Social Contact Patterns in an Individual-based Simulator for the Transmission of Infectious Diseases (Stride). - Elise J. Kuylen; Sean Stijven; Jan Broeckhove; Lander Willem (ICCS, 2017)

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)

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)

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)

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)

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)