Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction

Luke M. Guerdan, Peng Sun, Connor Rowland, Logan Harrison, Zhicheng Tang, Nickolas M. Wergeles, Yi Shang. Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction. In Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru, editors, Adolescent Brain Cognitive Development Neurocognitive Prediction - First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Volume 11791 of Lecture Notes in Computer Science, pages 17-25, Springer, 2019. [doi]

@inproceedings{GuerdanSRHTWS19,
  title = {Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction},
  author = {Luke M. Guerdan and Peng Sun and Connor Rowland and Logan Harrison and Zhicheng Tang and Nickolas M. Wergeles and Yi Shang},
  year = {2019},
  doi = {10.1007/978-3-030-31901-4_3},
  url = {https://doi.org/10.1007/978-3-030-31901-4_3},
  researchr = {https://researchr.org/publication/GuerdanSRHTWS19},
  cites = {0},
  citedby = {0},
  pages = {17-25},
  booktitle = {Adolescent Brain Cognitive Development Neurocognitive Prediction - First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings},
  editor = {Kilian M. Pohl and Wesley K. Thompson and Ehsan Adeli and Marius George Linguraru},
  volume = {11791},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-31901-4},
}