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DeepFreak: Learning Crystallography Diffraction Patterns with Automated
  Machine Learning

DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning

26 April 2019
Artur L. F. Souza
Leonardo B. Oliveira
Sabine Hollatz
Matthew Feldman
K. Olukotun
J. Holton
A. Cohen
Luigi Nardi
ArXivPDFHTML

Papers citing "DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning"

7 / 7 papers shown
Title
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
197
1,096
0
04 Jul 2018
Classification of crystallization outcomes using deep convolutional
  neural networks
Classification of crystallization outcomes using deep convolutional neural networks
Andrew E. Bruno
P. Charbonneau
J. Newman
E. Snell
David R. So
Vincent Vanhoucke
Christopher J. Watkins
Shawn Williams
Julie Wilson
46
68
0
27 Mar 2018
A Comparative Study of CNN, BoVW and LBP for Classification of
  Histopathological Images
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images
M. Kumar
Morteza Babaie
Shujin Zhu
Shivam Kalra
H. R. Tizhoosh
42
87
0
27 Sep 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
838
27,303
0
02 Dec 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
151
1,677
0
22 Jul 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
387
43,619
0
01 May 2014
1