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Marie Anastacio

2 accepted papers

2026

Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series

AAAI 2026technical

Active research in time series classification and forecasting has led to the development of a wide range of machine learning models. For practitioners, the selection of a suitable model among these, along with their hyperparameters, remains a challenging task. While automated machine learning offers

Cited by 0SourcePDFScholar
2021

Greybox Algorithm Configuration

IJCAI 2021poster

The performance of state-of-the-art algorithms is highly dependent on their parameter values, and choosing the right configuration can make the difference between solving a problem in a few minutes or hours. Automated algorithm configurators have shown their efficiency on a wide range of application…

Cited by 0SourcePDFScholar