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The last 5 uploaded publications
Probabilistic neural networks
Behshad Mohebali, Amirhessam Tahmassebi, Anke Meyer‐Baese, Amir Gandomi (2019). Probabilistic neural networksProbabilistic neural networks. Elsevier eBooks, pp. 347-367, DOI: 10.1016/b978-0-12-816514-0.00014-x,
Chapter in a book426 days agoDeep Learning in Medical Imaging
Amirhessam Tahmassebi, Amir Gandomi, Ian McCann, Mieke H.J. Schulte, Anna E. Goudriaan, Anke Meyer‐Baese (2018). Deep Learning in Medical Imaging. Proceedings of the Practice and Experience on Advanced Research Computing, pp. 1-4, DOI: 10.1145/3219104.3229250.
Article426 days agoOptimized Naive‐Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification
Amirhessam Tahmassebi, Amir Gandomi, Mieke H.J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer‐Baese (2018). Optimized Naive‐Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification. Complexity, 2018(1), DOI: 10.1155/2018/2740817.
Article426 days agoMulti-stage optimization of a deep model: A case study on ground motion modeling
Amirhessam Tahmassebi, Amir Gandomi, Simon Fong, Anke Meyer‐Baese, Simon Y. Foo (2018). Multi-stage optimization of a deep model: A case study on ground motion modeling. PLoS ONE, 13(9), pp. e0203829-e0203829, DOI: 10.1371/journal.pone.0203829.
Article426 days agoAn evolutionary approach for fMRI big data classification
Amirhessam Tahmassebi, Amir Gandomi, Ian McCann, Mieke H.J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer‐Baese (2017). An evolutionary approach for fMRI big data classification. 2022 IEEE Congress on Evolutionary Computation (CEC), pp. 1029-1036, DOI: 10.1109/cec.2017.7969421.
Article426 days ago