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The NIPS '17 Competition: Building Intelligent Systems

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Cover of 'The NIPS '17 Competition: Building Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to NIPS 2017 Competition Track
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    Chapter 2 The First Conversational Intelligence Challenge
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    Chapter 3 ConvAI Dataset of Topic-Oriented Human-to-Chatbot Dialogues
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    Chapter 4 A Talker Ensemble: The University of Wroclaw’s Entry to the NIPS 2017 Conversational Intelligence Challenge
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    Chapter 5 Multi-view Ensemble Classification for Clinically Actionable Genetic Mutations
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    Chapter 6 Learning to Run Challenge: Synthesizing Physiologically Accurate Motion Using Deep Reinforcement Learning
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    Chapter 7 Learning to Run Challenge Solutions: Adapting Reinforcement Learning Methods for Neuromusculoskeletal Environments
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    Chapter 8 Reinforcement Learning to Run… Fast
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    Chapter 9 Human-Computer Question Answering: The Case for Quizbowl
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    Chapter 10 Studio Ousia’s Quiz Bowl Question Answering System
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    Chapter 11 Adversarial Attacks and Defences Competition
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    Chapter 12 First Year Results from the IBM Watson AI XPRIZE: Lessons for the “AI for Good” Movement
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    Chapter 13 Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health
Attention for Chapter 13: Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health
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Citations

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Chapter title
Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health
Chapter number 13
Book title
The NIPS '17 Competition: Building Intelligent Systems
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-94042-7_13
Book ISBNs
978-3-31-994041-0, 978-3-31-994042-7
Authors

David Benrimoh, Robert Fratila, Sonia Israel, Kelly Perlman, Nykan Mirchi, Sneha Desai, Ariel Rosenfeld, Sabrina Knappe, Jason Behrmann, Colleen Rollins, Raymond Penh You, The Aifred Health Team, Benrimoh, David, Fratila, Robert, Israel, Sonia, Perlman, Kelly, Mirchi, Nykan, Desai, Sneha, Rosenfeld, Ariel, Knappe, Sabrina, Behrmann, Jason, Rollins, Colleen, You, Raymond Penh, Aifred Health Team, The

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 26%
Lecturer 4 15%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 7%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 9 33%
Readers by discipline Count As %
Computer Science 7 26%
Engineering 5 19%
Psychology 2 7%
Economics, Econometrics and Finance 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 10 37%

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