Marco Virgolin
Marco Virgolin
PhD student, Centrum Wiskunde & Informatica, and Delft University of Technology
Email verificata su cwi.nl - Home page
TitoloCitata daAnno
Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning
M Virgolin, T Alderliesten, C Witteveen, PAN Bosman
Proceedings of the Genetic and Evolutionary Computation Conference, 1041-1048, 2017
102017
Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors
M Virgolin, T Alderliesten, A Bel, C Witteveen, PAN Bosman
Proceedings of the Genetic and Evolutionary Computation Conference, 1395-1402, 2018
52018
On the feasibility of automatically selecting similar patients in highly individualized radiotherapy dose reconstruction for historic data of pediatric cancer survivors
M Virgolin, IWEM van Dijk, J Wiersma, CM Ronckers, C Witteveen, A Bel, ...
Medical physics 45 (4), 1504-1517, 2018
52018
Unveiling evolutionary algorithm representation with DU maps
E Medvet, M Virgolin, M Castelli, PAN Bosman, I Gonšalves, T Tušar
Genetic Programming and Evolvable Machines 19 (3), 351-389, 2018
32018
Evolutionary learning of syntax patterns for genic interaction extraction
A Bartoli, A De Lorenzo, E Medvet, F Tarlao, M Virgolin
Proceedings of the 2015 Annual Conference on Genetic and Evolutionaryá…, 2015
22015
How do patient characteristics and anatomical features correlate to accuracy of organ dose reconstruction for Wilms’ tumor radiation treatment plans when using a surrogateá…
Z Wang, BV Balgobind, M Virgolin, IWEM van Dijk, J Wiersma, ...
Journal of Radiological Protection 39 (2), 598, 2019
12019
Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions
M Virgolin, T Alderliesten, C Witteveen, PAN Bosman
arXiv preprint arXiv:1904.02050, 2019
1*2019
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms
M Virgolin, Z Wang, T Alderliesten, PAN Bosman
arXiv preprint arXiv:1909.03723, 2019
2019
Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression
M Virgolin, T Alderliesten, PAN Bosman
Proceedings of the Genetic and Evolutionary Computation Conference, 1084-1092, 2019
2019
On Explaining Machine Learning Models by Evolving Crucial and Compact Features
M Virgolin, T Alderliesten, PAN Bosman
arXiv preprint arXiv:1907.02260, 2019
2019
Automatic radiotherapy plan emulation for 3D dose reconstruction to enable big data analysis for historically treated patients
Z Wang, M Virgolin, PAN Bosman, BV Balgobind, A Bel, T Alderliesten
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, andá…, 2019
2019
Relating anatomical variations and patient features with dose-reconstruction accuracy of a 3D dose-reconstruction approach using CT scans of recently-treated children
Z Wang, M Virgolin, IWEM van Dijk, J Wiersma, CM Ronckers, ...
2017
Learning to Associate Distances with Historical Patient Data to Enable Fine-grained Studying of Late Adverse Effects of Paediatric Radiotherapy: Data, Methodology, and Firstá…
M Virgolin, I van Dijk, J Wiersma, CM Ronckers, C Witteveen, CRN Rasch, ...
2016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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