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E. M. C. Sijben

Evi Sijben

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2020 – today

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2024
[c3]
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  - conf/gecco/SijbenJBA24
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Evi Sijben, Jeroen Jansen, Peter A. N. Bosman, Tanja Alderliesten:
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. GECCO 2024
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  - journals/corr/abs-2402-12510
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E. M. C. Sijben, J. C. Jansen, Peter A. N. Bosman, Tanja Alderliesten:
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals. CoRR abs/2402.12510 (2024)
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  - journals/corr/abs-2404-07952
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E. M. C. Sijben, J. C. Jansen, M. de Ridder, Peter A. N. Bosman, Tanja Alderliesten:
Deep learning-based auto-segmentation of paraganglioma for growth monitoring. CoRR abs/2404.07952 (2024)
2022
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E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman:
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. GECCO 2022: 440-448
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  - journals/corr/abs-2203-13347
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E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman:
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. CoRR abs/2203.13347 (2022)
2020
[c1]
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  - conf/nips/HeskesSBC20
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Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen:
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. NeurIPS 2020
[i1]
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  - journals/corr/abs-2011-01625
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Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen:
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. CoRR abs/2011.01625 (2020)

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