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Amir Hossein Gandomi

◀ ▶ joint publications with Anna E. Goudriaan

> Home > Persons > Amir Hossein Gandomi

Publications

2018
[j55]
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  dblp key:
  - journals/complexity/TahmassebiGSGFM18
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  - https://dblp.org/rec/journals/complexity/TahmassebiGSGFM18
Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese:
Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification. Complex. 2018: 2740817:1-2740817:24 (2018)
[c7]
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  - conf/xsede/TahmassebiGMSGM18
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  - https://dblp.org/rec/conf/xsede/TahmassebiGMSGM18
Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Anna E. Goudriaan, Anke Meyer-Baese:
Deep Learning in Medical Imaging: fMRI Big Data Analysis via Convolutional Neural Networks. PEARC 2018: 85:1-85:4
2017
[c6]
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  - conf/cec/TahmassebiGMSSG17
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Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese:
An evolutionary approach for fMRI big data classification. CEC 2017: 1029-1036

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