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Fuda van Diggelen
Fuda van Diggelen
PhD Artificial Intelligence, Vrije Universiteit
Verified email at vu.nl - Homepage
Title
Cited by
Cited by
Year
Learning directed locomotion in modular robots with evolvable morphologies
G Lan, M De Carlo, F van Diggelen, JM Tomczak, DM Roijers, AE Eiben
Applied Soft Computing 111, 107688, 2021
432021
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
LM Fleuren, TA Dam, M Tonutti, DP de Bruin, RCA Lalisang, D Gommers, ...
Critical Care 25, 1-12, 2021
352021
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse
LM Fleuren, DP de Bruin, M Tonutti, RCA Lalisang, PWG Elbers
Intensive care medicine 47 (4), 478-481, 2021
182021
Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality
D Plečko, N Bennett, J Mċrtensson, TA Dam, R Entjes, TCD Rettig, ...
Acta Anaesthesiologica Scandinavica 66 (1), 65-75, 2022
122022
The influence of robot traits and evolutionary dynamics on the reality gap
F van Diggelen, E Ferrante, N Harrak, J Luo, D Zeeuwe, AE Eiben
IEEE Transactions on Cognitive and Developmental Systems 15 (2), 499-506, 2021
102021
Comparing lifetime learning methods for morphologically evolving robots
F Van Diggelen, E Ferrante, AE Eiben
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
72021
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 …
LM Fleuren, M Tonutti, DP de Bruin, RCA Lalisang, TA Dam, D Gommers, ...
Intensive Care Medicine Experimental 9, 1-15, 2021
62021
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
TA Dam, LF Roggeveen, F van Diggelen, LM Fleuren, AR Jagesar, ...
Annals of Intensive Care 12 (1), 99, 2022
52022
Environment induced emergence of collective behaviour in evolving swarms with limited sensing
F van Diggelen, J Luo, TA Karagüzel, N Cambier, E Ferrante, AE Eiben
arXiv preprint arXiv:2203.11585, 2022
52022
Some patients are more equal than others: variation in ventilator settings for coronavirus disease 2019 acute respiratory distress syndrome
TA Dam, HJ de Grooth, T Klausch, LM Fleuren, DP de Bruin, R Entjes, ...
Critical care explorations 3 (10), e0555, 2021
52021
The effects of adaptive control on learning directed locomotion
F Van Diggelen, R Babuska, AE Eiben
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2117-2124, 2020
42020
Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study
JM Smit, JH Krijthe, H Endeman, AN Tintu, YB de Rijke, D Gommers, ...
Intelligence-based medicine 6, 100071, 2022
22022
Augmented intelligence facilitates concept mapping across different electronic health records
TA Dam, LM Fleuren, LF Roggeveen, M Otten, L Biesheuvel, AR Jagesar, ...
International journal of medical informatics 179, 105233, 2023
12023
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms
F van Diggelen, M De Carlo, N Cambier, E Ferrante, AE Eiben
arXiv preprint arXiv:2402.04763, 2024
2024
Comparing Robot Controller Optimization Methods on Evolvable Morphologies
F van Diggelen, E Ferrante, AE Eiben
Evolutionary Computation, 1-20, 2023
2023
A model-free method to learn multiple skills in modular robots
F van Diggelen, N Cambier, E Ferrante, A Eiben
2023
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse: the first 1633 critically ill COVID-19 …
PJ Thoral, L Roggeveen, F van Diggelen, A el Hassouni, DR Guzman, ...
Intensive care medicine 47 (4), 478-481, 2021
2021
Adaptive Control for Evolutionary Robotics: And its effect on learning directed locomotion
F van Diggelen
2020
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