35 citations · 71 across the 10 of their papers we have counts for
3 papers · 1 filter
KAM -- a Kernel Attention Module for Emotion Classification with EEG Data
Dongyang Kuang, Craig Michoski
In this work, a kernel attention module is presented for the task of EEG-based emotion classification with neural networks. The proposed module utilizes a self-attention mechanism…
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data
Dongyang Kuang, Craig Michoski, Wenting Li +1
In this work, a parameter-efficient attention module is presented for emotion classification using a limited, or relatively small, number of electroencephalogram (EEG) signals. Thi…
Reduced models for ETG transport in the pedestal
David R. Hatch, Craig Michoski, Dongyang Kuang +10
This paper reports on the development of reduced models for electron temperature gradient (ETG) driven transport in the pedestal. Model development is enabled by a set of 61 nonlin…