"Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for ..."

Yang Jiang et al. (2018)

> Home

Details and statistics

DOI: 10.1007/978-3-319-93843-1_15

access: closed

type: Conference or Workshop Paper

metadata version: 2023-02-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/aied/JiangBBPOAMB18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aied/JiangBBPOAMB18
Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas:
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? AIED (1) 2018: 198-211

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.