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Adam Drake

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2010 – 2019

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2018
[i2]
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  - journals/corr/abs-1812-03188
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Kabir Manghnani, Adam Drake, Nathan Wan, Imran S. Haque:
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis. CoRR abs/1812.03188 (2018)
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  - journals/corr/abs-1812-04778
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Tzu-Yu Liu, Ajay Kannan, Adam Drake, Marvin Bertin, Nathan Wan:
Bridging the Generalization Gap: Training Robust Models on Confounded Biological Data. CoRR abs/1812.04778 (2018)
2014
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  - conf/icmla/DrakeV14
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Adam Drake, Dan Ventura:
Improving Spectral Learning by Using Multiple Representations. ICMLA 2014: 147-152
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Adam Drake, Dan Ventura:
Using Spectral Features to Improve Sentiment Analysis. ICMLA 2014: 153-158
2013
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Adam Drake, Dan Ventura:
An Empirical Comparison of Spectral Learning Methods for Classification. ICMLA (1) 2013: 9-14

2000 – 2009

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2009
[c3]
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Adam Drake, Dan Ventura:
Search Techniques for Fourier-Based Learning. IJCAI 2009: 1040-1045
2008
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  - conf/semco/DrakeRV08
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Adam Drake, Eric K. Ringger, Dan Ventura:
Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment. ICSC 2008: 152-157
2005
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Adam Drake, Dan Ventura:
A practical generalization of Fourier-based learning. ICML 2005: 185-192

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