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Journal Articles
- 2020
[j1]Aaron M. Smith
, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher:
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. BMC Bioinform. 21(1): 119 (2020)
Conference and Workshop Papers
- 2019
- [c1]Charles K. Fisher, Yannick Pouliot, Aaron M. Smith, Jonathan R. Walsh:
Generating Synthetic Control Patients Using Machine Learning for Alzheimer's Disease Clinical Trials. AMIA 2019
Informal and Other Publications
- 2024
- [i5]Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex H. Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron M. Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh:
Digital Twin Generators for Disease Modeling. CoRR abs/2405.01488 (2024) - 2020
- [i4]Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot, David Li-Bland, Anton Loukianov, Charles K. Fisher:
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. CoRR abs/2002.02779 (2020) - [i3]Daniele Bertolini, Anton D. Loukianov, Aaron M. Smith, David Li-Bland, Yannick Pouliot, Jonathan R. Walsh, Charles K. Fisher:
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins. CoRR abs/2012.13455 (2020) - 2018
- [i2]Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh:
Boltzmann Encoded Adversarial Machines. CoRR abs/1804.08682 (2018) - [i1]Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh:
Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression. CoRR abs/1807.03876 (2018)
Coauthor Index
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