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Virgolin, Marco
59  Ergebnisse:
Personensuche X
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1

An Analysis of the Ingredients for Learning Interpretable S..:

Nadizar, Giorgia ; Rovito, Luigi ; De Lorenzo, Andrea..
ACM Transactions on Evolutionary Learning and Optimization.  4 (2024)  1 - p. 1-30 , 2024
Link: https://doi.org/10.1145/..
 
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2

Parameterless Gene-Pool Optimal Mixing Evolutionary Algorit..:

Dushatskiy, Arkadiy ; Virgolin, Marco ; Bouter, Anton..
Evolutionary Computation.  , 2024
Link: https://doi.org/10.1162/..
 
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3

On the robustness of sparse counterfactual explanations to ..:

Virgolin, Marco ; Fracaros, Saverio
Artificial Intelligence.  316 (2023)  - p. 103840 , 2023
Link: https://doi.org/10.1016/..
 
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4

An interpretable method for automated classification of spo..:

Wahde, Mattias ; Della Vedova, Marco L. ; Virgolin, Marco.
Evolutionary Intelligence.  17 (2023)  1 - p. 609-621 , 2023
Link: https://doi.org/10.1007/..
 
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5

Mini-Batching, Gradient-Clipping, First- versus Second-Orde..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Harrison, Joe ; Virgolin, Marco ; Alderliesten, Tanja. - p. 1127-1136 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

DAISY: An Implementation of Five Core Principles for Transp..:

Wahde, Mattias ; Virgolin, Marco
International Journal of Human–Computer Interaction.  39 (2022)  9 - p. 1856-1873 , 2022
Link: https://doi.org/10.1080/..
 
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7

Evolvability degeneration in multi-objective genetic progra..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Liu, Dazhuang ; Virgolin, Marco ; Alderliesten, Tanja. - p. 973-981 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

On genetic programming representations and fitness function..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Uriot, Thomas ; Virgolin, Marco ; Alderliesten, Tanja. - p. 458-466 , 2022
Link: https://dl.acm.org/doi/1..
 
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9

Coefficient mutation in the gene-pool optimal mixing evolut..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Virgolin, Marco ; Bosman, Peter A. N. - p. 2289-2297 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

Validation and Comparison of Radiograph-Based Organ Dose Re..:

Wang, Ziyuan ; Virgolin, Marco ; Balgobind, Brian V....
Advances in Radiation Oncology.  7 (2022)  6 - p. 101015 , 2022
Link: https://doi.org/10.1016/..
 
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11

Model learning with personalized interpretability estimatio..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Virgolin, Marco ; De Lorenzo, Andrea ; Randone, Francesca.. - p. 1355-1364 , 2021
Link: https://dl.acm.org/doi/1..
 
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12

The five Is: Key principles for interpretable and safe conv..:

, In: 2021 The 4th International Conference on Computational Intelligence and Intelligent Systems,
Wahde, Mattias ; Virgolin, Marco - p. 50-54 , 2021
Link: https://dl.acm.org/doi/1..
 
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13

A Mobile Interactive Robot for Social Distancing in Hospita..:

, In: 2021 Fifth IEEE International Conference on Robotic Computing (IRC),
Virgolin, Marco ; Bellone, Mauro ; Wolff, Krister. - p. 87-91 , 2021
Link: https://doi.org/10.1109/..
 
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14

Local Search is a Remarkably Strong Baseline for Neural Arc..:

, In: Lecture Notes in Computer Science; Evolutionary Multi-Criterion Optimization,
Den Ottelander, Tom ; Dushatskiy, Arkadiy ; Virgolin, Marco. - p. 465-479 , 2021
Link: https://doi.org/10.1007/..
 
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15

Genetic programming is naturally suited to evolve bagging e..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Virgolin, Marco - p. 830-839 , 2021
Link: https://dl.acm.org/doi/1..
 
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