Adam Drake

According to our database, Adam Drake authored at least 8 papers between 2005 and 2018.

Collaborative distances:

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

2018

Bridging the Generalization Gap: Training Robust Models on Confounded Biological Data.

Tzu-Yu Liu, Ajay Kannan, Adam Drake, Marvin Bertin, Nathan Wan

CoRR, 2018

METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis.

Kabir Manghnani, Adam Drake, Nathan Wan, Imran S. Haque

CoRR, 2018

2014

Using Spectral Features to Improve Sentiment Analysis.

Adam Drake, Dan Ventura

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Improving Spectral Learning by Using Multiple Representations.

Adam Drake, Dan Ventura

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013

An Empirical Comparison of Spectral Learning Methods for Classification.

Adam Drake, Dan Ventura

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2009

Search Techniques for Fourier-Based Learning.

Adam Drake, Dan Ventura

Proceedings of the IJCAI 2009, 2009

2008

Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment.

Adam Drake, Eric K. Ringger, Dan Ventura

Proceedings of the 2th IEEE International Conference on Semantic Computing (ICSC 2008), 2008

2005

A practical generalization of Fourier-based learning.

Adam Drake, Dan Ventura

Proceedings of the Machine Learning, 2005