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Marco Virgolin
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Contemporary symbolic regression methods and their relative performance
W La Cava, P Orzechowski, B Burlacu, FO de França, M Virgolin, Y Jin, ...
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021
262021
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
242017
Improving model-based genetic programming for symbolic regression of small expressions
M Virgolin, T Alderliesten, C Witteveen, PAN Bosman
Evolutionary computation 29 (2), 211-237, 2021
222021
Local search is a remarkably strong baseline for neural architecture search
T Den Ottelander, A Dushatskiy, M Virgolin, PAN Bosman
🏆 International Conference on Evolutionary Multi-Criterion Optimization, 465-479, 2021
212021
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
182018
On explaining machine learning models by evolving crucial and compact features
M Virgolin, T Alderliesten, PAN Bosman
Swarm and Evolutionary Computation 53, 100640, 2020
172020
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
172019
Learning a formula of interpretability to learn interpretable formulas
M Virgolin, A De Lorenzo, E Medvet, F Randone
International Conference on Parallel Problem Solving from Nature, 79-93, 2020
162020
Model learning with personalized interpretability estimation (ML-🥧)
M Virgolin, A De Lorenzo, F Randone, E Medvet, M Wahde
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
112021
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
112018
Unveiling evolutionary algorithm representation with DU maps
E Medvet, M Virgolin, M Castelli, PAN Bosman, I Gonçalves, T Tušar
Genetic Programming and Evolvable Machines 19 (3), 351-389, 2018
102018
How do patient characteristics and anatomical features correlate to accuracy of organ dose reconstruction for Wilms’ tumor radiation treatment plans when using a surrogate …
Z Wang, BV Balgobind, M Virgolin, IWEM Van Dijk, J Wiersma, ...
Journal of Radiological Protection 39 (2), 598, 2019
52019
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 Evolutionary …, 2015
52015
Conversational agents: Theory and applications
M Wahde, M Virgolin
arXiv preprint arXiv:2202.03164, 2022
42022
On the Robustness of Counterfactual Explanations to Adverse Perturbations
M Virgolin, S Fracaros
arXiv preprint arXiv:2201.09051, 2022
32022
Genetic programming is naturally suited to evolve bagging ensembles
M Virgolin
Proceedings of the Genetic and Evolutionary Computation Conference, 830-839, 2021
32021
Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction
M Virgolin, Z Wang, T Alderliesten, PAN Bosman
Journal of Medical Imaging 7 (4), 046501, 2020
32020
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning
M Virgolin, E Medvet, T Alderliesten, PAN Bosman
arXiv preprint arXiv:2204.02046, 2022
22022
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms
A Dushatskiy, M Virgolin, A Bouter, D Thierens, PAN Bosman
arXiv preprint arXiv:2109.05259, 2021
22021
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy
M Virgolin, Z Wang, BV Balgobind, IWEM van Dijk, J Wiersma, PS Kroon, ...
Physics in Medicine & Biology 65 (24), 245021, 2020
22020
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