Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression. - Sean Stijven; Wouter Minnebo; Katya Vladislavleva (GECCO (Companion), 2011)

Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models. - Sean Stijven; Ruben Van den Bossche; Ekaterina Vladislavleva; Kurt Vanmechelen; Jan Broeckhove; Mark E. Kotanchek (GPTP, 2013)

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)

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. - Rein Houthooft; Joeri Ruyssinck; Joachim van der Herten; Sean Stijven; Ivo Couckuyt; Bram Gadeyne; Femke Ongenae; Kirsten Colpaert; Johan Decruyenaere; Tom Dhaene; Filip De Turck (Artif. Intell. Medicine, 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)