Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Published in In Press: Machine Learning (ECML-PKDD 2022 journal track), 2022
Recommended citation: Atashgahi, Z., Sokar, G., van der Lee, T., Mocanu, E., Mocanu, D. C., Veldhuis, R., & Pechenizkiy, M. (2022). Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Machine Learning, 111(1), 377-414. https://arxiv.org/abs/2012.00560
@article{atashgahi2022quick,
title={Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders},
author={Atashgahi, Zahra and Sokar, Ghada and van der Lee, Tim and Mocanu, Elena and Mocanu, Decebal Constantin and Veldhuis, Raymond and Pechenizkiy, Mykola},
journal={Machine Learning},
volume={111},
number={1},
pages={377--414},
year={2022},
publisher={Springer}
}