Nina Thigpen

According to our database, Nina Thigpen authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Unsupervised foveal vision neural architecture with top-down attention.

Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe

Neural Networks, 2021

Representation learning for improved interpretability and classification accuracy of clinical factors from EEG.

Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data.

Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford

CoRR, 2020

Representation learning for improved interpretability and classification accuracy of clinical factors from EEG.

Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Pramod Gupta, Julia Klawohn, Greg Hajcak

CoRR, 2020

Unsupervised Foveal Vision Neural Networks with Top-Down Attention.

Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe

CoRR, 2020

2019

Pre-target alpha power predicts the speed of cued target discrimination.

Nathan M. Petro, Nina Thigpen, Steven Garcia, Maeve R. Boylan, Andreas Keil

NeuroImage, 2019

2016

Predicting visual attention using gamma kernels.

Ryan Burt, Eder Santana, José C. Príncipe, Nina Thigpen, Andreas Keil

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016