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Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.

H. Yoon, J. Gounley, S. Gao, M. Alawad, A. Ramanathan, and G. Tourassi. BHI, page 1-4. IEEE, (2019)

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John Nixon University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David John Cross University of Stuttgart

Other publications of authors with the same name

Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm.G. Herschlag, J. Gounley, S. Roychowdhury, E. Draeger, and A. Randles. CLUSTER, page 1-11. IEEE, (2019)Moment representation in the lattice Boltzmann method on massively parallel hardware.M. Vardhan, J. Gounley, L. Hegele, E. Draeger, and A. Randles. SC, page 34:1-34:21. ACM, (2019)A Computational Framework to Assess the Influence of Changes in Vascular Geometry on Blood Flow.J. Gounley, M. Vardhan, and A. Randles. PASC, page 2:1-2:8. ACM, (2017)Immersed Boundary Method Halo Exchange in a Hemodynamics Application.J. Gounley, E. Draeger, and A. Randles. ICCS (1), volume 11536 of Lecture Notes in Computer Science, page 441-455. Springer, (2019)Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures.S. Lee, J. Gounley, A. Randles, and J. Vetter. J. Parallel Distrib. Comput., (2019)Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity?J. Gounley, R. Chaudhury, M. Vardhan, M. Driscoll, G. Pathangey, K. Winarta, J. Ryan, D. Frakes, and A. Randles. EMBC, page 3429-3432. IEEE, (2016)A framework for comparing vascular hemodynamics at different points in time.J. Gounley, M. Vardhan, and A. Randles. Comput. Phys. Commun., (2019)Numerical simulation of a compound capsule in a constricted microchannel.J. Gounley, E. Draeger, and A. Randles. ICCS, volume 108 of Procedia Computer Science, page 175-184. Elsevier, (2017)Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.H. Yoon, J. Gounley, S. Gao, M. Alawad, A. Ramanathan, and G. Tourassi. BHI, page 1-4. IEEE, (2019)How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets.S. Chen, M. Young, J. Gounley, C. Stanley, and D. Bhowmik. IEEE BigData, page 4333-4341. IEEE, (2021)

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Disambiguation of "Gounley, John"

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Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.

Please choose a person to relate this publication to

John Nixon University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David John Cross University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Gounley, John"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.

Please choose a person to relate this publication to

John Nixon University of Stuttgart

Isaac Henderson Johnson Jeyakumar University of Stuttgart

David John Cross University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.