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Marissa Dotter

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Conference and Workshop Papers

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2018
[c2]
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  - conf/aipr/DotterW18
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  - https://dblp.org/rec/conf/aipr/DotterW18
Marissa Dotter, Chris M. Ward:
Visualizing Compression of Deep Learning Models for Classification. AIPR 2018: 1-8
2016
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Marissa Dotter, Katie Rainey, Donald E. Waagen:
Visualization of high dimensional image features for classification. AIPR 2016: 1-6

Informal and Other Publications

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2023
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  - journals/corr/abs-2311-15925
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Alexander Tapley, Marissa Dotter, Michael Doyle, Aidan Fennelly, Dhanuj Gandikota, Savanna Smith, Michael Threet, Tim Welsh:
Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments. CoRR abs/2311.15925 (2023)
2021
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  - journals/corr/abs-2101-02899
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Marissa Dotter, Sherry Xie, Keith Manville, Josh Harguess, Colin Busho, Mikel Rodriguez:
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks. CoRR abs/2101.02899 (2021)

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