A Machine Learning Approach to Automatic Phobia Therapy with Virtual Reality

Mapping Intimacies ◽

10.1007/978-3-030-54564-2_27 ◽

2021 ◽

pp. 607-636

Author(s):

Oana Bălan ◽

Alin Moldoveanu ◽

Marius Leordeanu

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Learning Approach ◽

Machine Learning Approach

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Review for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v1/review1 ◽

2019 ◽

Author(s):

James Baurley

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment

Brain and Behavior ◽

10.1002/brb3.1814 ◽

2020 ◽

Vol 10 (11) ◽

Author(s):

Xinfang Ding ◽

Yuanhui Li ◽

Dai Li ◽

Ling Li ◽

Xiuyun Liu

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Decision letter for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v2/decision1 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Review for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v1/review3 ◽

2019 ◽

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Review for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v1/review2 ◽

2019 ◽

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Author response for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v4/response1 ◽

2020 ◽

Author(s):

Xinfang Ding ◽

Yuanhui Li ◽

Dai Li ◽

Ling Li ◽

Xiuyun Liu

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Author Response ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Review for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v3/review1 ◽

2020 ◽

Author(s):

Anders Dahlen Forsmo Lauvsnes

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Author response for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v3/response1 ◽

2020 ◽

Author(s):

Xinfang Ding ◽

Yuanhui Li ◽

Dai Li ◽

Ling Li ◽

Xiuyun Liu

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Author Response ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

Download Full-text

Decision letter for "Using machine‐learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment"

10.1002/brb3.1814/v4/decision1 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Healthy Subjects ◽

Learning Approach ◽

Virtual Reality Environment ◽

Methamphetamine Dependence ◽

Machine Learning Approach

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Virtual Reality and Tracking the Mating Behavior of Fruit Flies: a Machine Learning Approach

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) ◽

10.1109/civemsa.2018.8439989 ◽

2018 ◽

Author(s):

M. Hamed Mozaffari ◽

Shuangyue Wen ◽

Won-Sook Lee

Keyword(s):

Machine Learning ◽

Virtual Reality ◽

Mating Behavior ◽

Fruit Flies ◽

Learning Approach ◽

Machine Learning Approach

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