AAAI Workshop: Modern Artificial Intelligence for Health Analytics 2014: Québec City, Québec, Canada

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Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens:
Modern Artificial Intelligence for Health Analytics, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014. AAAI Technical Report WS-14-08, AAAI 2014
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Byron C. Wallace:
Organizers.
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Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens:
Preface.
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Hyo Yul Byun, James J. Lu, Helen S. Mayberg, Cengiz Günay:
Classification of Resting State fMRI Datasets Using Dynamic Network Clusters.
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  - conf/aaai/DickersonS14a
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John Paul Dickerson, Tuomas Sandholm:
Balancing Efficiency and Fairness in Dynamic Kidney Exchange.
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Afsaneh Doryab, Jun-Ki Min, Jason Wiese, John Zimmerman, Jason I. Hong:
Detection of Behavior Change in People with Depression.
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Sheehan Khan, Russell Greiner:
The Budgeted Biomarker Discovery Problem: A Variant of Association Studies.
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Gilbert Lim, Mong-Li Lee, Wynne Hsu, Tien Yin Wong:
Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening.
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Vukosi Marivate, Jessica Chemali, Emma Brunskill, Michael L. Littman:
Quantifying Uncertainty in Batch Personalized Sequential Decision Making.
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Sharmin Nilufar, Theodore J. Perkins:
Learning a Cost Function for Interactive Microscope Image Segmentation.
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Kevin Plis, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz:
A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management.
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Gert van Valkenhoef, Joël Kuiper:
Crowdsourcing a Comprehensive Clinical Trial Repository.

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