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Nina Thigpen

Nina N. Thigpen

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Journal Articles

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2021
[j2]
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  dblp key:
  - journals/nn/BurtTKP21
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  persistent URL:
  - https://dblp.org/rec/journals/nn/BurtTKP21
Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe:
Unsupervised foveal vision neural architecture with top-down attention. Neural Networks 141: 145-159 (2021)
2019
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  - journals/neuroimage/PetroTGBK19
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Nathan M. Petro, Nina Thigpen, Steven Garcia, Maeve R. Boylan, Andreas Keil:
Pre-target alpha power predicts the speed of cued target discrimination. NeuroImage 189: 878-885 (2019)

Conference and Workshop Papers

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2021
[c2]
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  - electronic edition @ openreview.net (open access)
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  dblp key:
  - conf/iclr/HonkeHTMLDGKH21
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Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak:
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG. ICLR 2021
2016
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  - conf/icassp/BurtSPTK16
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Ryan Burt, Eder Santana, José C. Príncipe, Nina Thigpen, Andreas Keil:
Predicting visual attention using gamma kernels. ICASSP 2016: 1606-1610

Informal and Other Publications

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2020
[i3]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2010-09103
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Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe:
Unsupervised Foveal Vision Neural Networks with Top-Down Attention. CoRR abs/2010.09103 (2020)
[i2]
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  dblp key:
  - journals/corr/abs-2010-15274
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Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Pramod Gupta, Julia Klawohn, Greg Hajcak:
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG. CoRR abs/2010.15274 (2020)
[i1]
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  dblp key:
  - journals/corr/abs-2011-07406
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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:
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. CoRR abs/2011.07406 (2020)

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