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Natasa Krco

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2020 – today

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2024
[i3]
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  dblp key:
  - journals/corr/abs-2405-15423
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  - https://dblp.org/rec/journals/corr/abs-2405-15423
Florent Guépin, Natasa Krco, Matthieu Meeus, Yves-Alexandre de Montjoye:
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models. CoRR abs/2405.15423 (2024)
2023
[i2]
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  - journals/corr/abs-2302-07185
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  - https://dblp.org/rec/journals/corr/abs-2302-07185
Natasa Krco, Thibault Laugel, Jean-Michel Loubes, Marcin Detyniecki:
When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms. CoRR abs/2302.07185 (2023)
2022
[c1]
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  - conf/edm/SwamyRKMK22
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  - https://dblp.org/rec/conf/edm/SwamyRKMK22
Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser:
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. EDM 2022
[i1]
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  - journals/corr/abs-2207-00551
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Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser:
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. CoRR abs/2207.00551 (2022)

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