Full list of papers on Google Scholar.
Published papers
2024
A model-free method to learn multiple skills in parallel on modular robots.
 F. van Diggelen, N.P.A Cambier, E. Ferrante, A.E. Eiben
 Nature Communications 15, 6267. 
 Paper Website Video Git Data
Emergence of Specialised Collective Behaviors in Evolving Heterogeneous Swarms.
 F. van Diggelen, M. De Carlo, N.P.A Cambier, E. Ferrante, A.E. Eiben
 Parallel Problem Solving from Nature (PPSN XVIII) LNCS 15149, 53-69. 
 Paper Data
Self-organized Flocking in Three Dimensions
 T.A. Karagüzel, F. van Diggelen, A.G. Rincon, E. Ferrante.
 In International Conference on Swarm Intelligence, ANTS 14987, pp. 155-167.
 Paper
Collective Random Walks of Flocking Agents Through Emergent Implicit Leadership.
 A.G. Rincon, T.A. Karagüzel, F. van Diggelen, E. Ferrante
 In International Conference on Swarm Intelligence, ANTS 14987, pp. 206. 
 Paper
2023
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
