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Konstantinos Paraschakis

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2024
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Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos:
Confidence Interval Estimation of Predictive Performance in the Context of AutoML. AutoML 2024: 4/1-14
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George Paterakis, Giorgos Borboudakis, Konstantinos Paraschakis, Paulos Charonyktakis, Ioannis Tsamardinos:
CLBO: Conditional Local Bayesian Optimization for Automated Machine Learning. SETN 2024: 10:1-10:5
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  - journals/corr/abs-2406-08099
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Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos:
Confidence Interval Estimation of Predictive Performance in the Context of AutoML. CoRR abs/2406.08099 (2024)
2023
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Giorgos Borboudakis, Paulos Charonyktakis, Konstantinos Paraschakis, Ioannis Tsamardinos:
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML. CoRR abs/2312.06305 (2023)

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