Allison L. Moore
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
3
Venues
2
Active years
2018–2021
Best venue rank
A
Where they publish
Papers
3 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | AIED | Affect-Targeted Interviews for Understanding Student Frustration. | Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas |
| 2019 | LAK | Affect Sequences and Learning in Betty's Brain. | Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas |
| 2018 | AIED | Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? | Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas |