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Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.

P. Balaprakash, R. Egele, M. Salim, S. Wild, V. Vishwanath, F. Xia, T. Brettin, and R. Stevens. SC, page 37:1-37:33. ACM, (2019)

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Fangfang Yuan

Fangfang Pan

Fangfang Xu

Hong Xia

Zhigao Xia

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Towards On-Chip Bayesian Neuromorphic Learning.N. Wycoff, P. Balaprakash, and F. Xia. CoRR, (2020)A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning.A. Clyde, T. Brettin, A. Partin, M. Shaulik, H. Yoo, Y. Evrard, Y. Zhu, F. Xia, and R. Stevens. CoRR, (2020)The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.L. McNeil, C. Reich, R. Aziz, D. Bartels, M. Cohoon, T. Disz, R. Edwards, S. Gerdes, K. Hwang, M. Kubal and 19 other author(s). Nucleic Acids Res., 35 (Database-Issue): 347-353 (2007)Predicting tumor cell line response to drug pairs with deep learning.F. Xia, M. Shukla, T. Brettin, C. Garcia-Cardona, J. Cohn, J. Allen, S. Maslov, S. Holbeck, J. Doroshow, Y. Evrard and 2 other author(s). BMC Bioinform., 19-S (18): 71-79 (2018)Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.N. Wycoff, P. Balaprakash, and F. Xia. ICONS, page 9:1-9:4. ACM, (2019)Learning Curves for Drug Response Prediction in Cancer Cell Lines.A. Partin, T. Brettin, Y. Evrard, Y. Zhu, H. Yoo, F. Xia, S. Jiang, A. Clyde, M. Shukla, M. Fonstein and 2 other author(s). CoRR, (2020)Application of high-performance computing to the reconstruction, analysis, and optimization of genome-scale metabolic modelsC. Henry, F. Xia, and R. Stevens. Journal of Physics: Conference Series, 180 (1): 012025+ (Jul 1, 2009)A cross-study analysis of drug response prediction in cancer cell lines.F. Xia, J. Allen, P. Balaprakash, T. Brettin, C. Garcia-Cardona, A. Clyde, J. Cohn, J. Doroshow, X. Duan, V. Dubinkina and 14 other author(s). Briefings Bioinform., (2022)Tapping the wealth of microbial data in high-throughput metabolic model reconstruction.R. Colasanti, J. Edirisinghe, T. Khazaei, J. Faria, S. Seaver, F. Xia, and C. Henry. Methods in molecular biology (Clifton, N.J.), (2014)Recurrent and Spiking Modeling of Sparse Surgical Kinematics.N. Getty, Z. Zhao, S. Gruessner, L. Chen, and F. Xia. ICONS, page 24:1-24:5. ACM, (2020)

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Disambiguation of "Xia, Fangfang"

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Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.

Please choose a person to relate this publication to

Fangfang Yuan

Fangfang Pan

Fangfang Xu

Hong Xia

Zhigao Xia

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xia, Fangfang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.

Please choose a person to relate this publication to

Fangfang Yuan

Fangfang Pan

Fangfang Xu

Hong Xia

Zhigao Xia

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.