Full list of papers on Google Scholar.

Published papers

2023

A model-free method to learn multiple skills in modular robots
F. van Diggelen, N.P.A Cambier, E. Ferrante, A.E. Eiben
UNDER REVIEW
Website

Comparing robot controller optimization methods on evolvable morphologies.
F. van Diggelen, E. Ferrante, A.E. Eiben
Evolutionary Computation, pp. 1-19
Paper Data

2022

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.
T.A. Dam, L.F. Roggeveen, F. van Diggelen, et al.
Ann. of Intensive Care 12(1), pp. 1-9
Paper Git Data

Environment induced emergence of collective behaviour in evolving swarms with limited sensing.
F. van Diggelen, T. Karagüzel, J. Lo, E. Ferrante, N. Cambier, A.E. Eiben
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) pp. 31-39
Paper, Video, Git Data

2021

The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap.
F. van Diggelen, E. Ferrante, N. Harrak, J. Luo, D. Zeeuwe and A.E. Eiben
IEEE Transactions on Cognitive and Developmental Systems
Paper, Video, Git Data

Learning directed locomotion in modular robots with evolvable morphologies.
G. Lan, M. De Carlo, F. van Diggelen, J. M. Tomczak, D. M. Roijers, and A.E. Eiben
Applied Soft Computing 111, pp. 107688
Paper

Comparing lifetime learning methods for morphologically evolving robots.
F. van Diggelen, E. Ferrante, and A.E. Eiben
In Proceedings of the Genetic and Evolutionary Computation Conference Companion pp. 93-94
Paper

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse.
L.M. Fleuren, D.P. de Bruin, M. Tonutti, et al.
Intensive Care Medicine Experimental 9(1) pp. 32
Paper Git Data

Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse.
L.M. Fleuren, D.P. de Bruin, M. Tonutti, et al.
Intensive Care Medicine 47 pp. 478-481
Paper Git Data

2020

The Effects of Adaptive Control on Learning Directed Locomotion.
F. van Diggelen, E. Ferrante, and A.E. Eiben
IEEE Symposium Series on Computational Intelligence (SSCI)
Paper, Video, Git