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@article{astropy:2018,
Adsurl = {https://ui.adsabs.harvard.edu/#abs/2018AJ....156..123T},
Author = {{Price-Whelan}, A.~M. and {Sip{'{o}}cz}, B.~M. and {G{"u}nther}, H.~M. and {Lim}, P.~L. and others},
Doi = {10.3847/1538-3881/aabc4f},
Eid = {123},
Journal = {aj},
Pages = {123},
Title = {{The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package}},
Volume = {156},
Year = 2018}
@book{collette:2014,
Author = {Andrew Collette},
Keywords = {python, hdf5},
Publisher = {O'Reilly},
Title = {Python and HDF5},
Year = {2013}}
@article{Durant:2017,
Author = {Durant, Thomas J.S. and Olson, Eben M. and Schulz, Wade L. and Torres, Richard},
Doi = {10.1373/clinchem.2017.276345},
Eprint = {http://clinchem.aaccjnls.org/content/63/12/1847.full.pdf},
Issn = {0009-9147},
Journal = {Clinical Chemistry},
Number = {12},
Pages = {1847--1855},
Publisher = {Clinical Chemistry},
Title = {Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes},
Url = {http://clinchem.aaccjnls.org/content/63/12/1847},
Volume = {63},
Year = {2017},
}
@webpage{hdf5,
Lastchecked = {November 2018},
Url = {https://support.hdfgroup.org/HDF5/doc/index.html}}
@article{numpy,
Author = {T. E. Oliphant},
Doi = {10.1109/MCSE.2007.58},
Issn = {1521-9615},
Journal = {Computing in Science Engineering},
Month = {May},
Number = {3},
Pages = {10-20},
Title = {Python for Scientific Computing},
Volume = {9},
Year = {2007}}
@article{Price:2018,
Adsnote = {Provided by the SAO/NASA Astrophysics Data System},
Adsurl = {https://ui.adsabs.harvard.edu/#abs/2018MNRAS.478.4193P},
Author = {{Price}, D.~C. and {Greenhill}, L.~J. and {Fialkov}, A. and {Bernardi}, G. and others},
Doi = {10.1093/mnras/sty1244},
Journal = {Monthly Notices of the Royal Astronomy Society},
Pages = {4193-4213},
Title = {{Design and characterization of the Large-aperture Experiment to Detect the Dark Age (LEDA) radiometer systems}},
Volume = {478},
Year = 2018,
Bdsk-Url-1 = {https://doi.org/10.1093/mnras/sty1244}}
@phdthesis{Raffel:2016,
Author = {Colin Raffel},
School = {Columbia University},
Title = {Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching},
Year = {2016},
Doi = {https://doi.org/10.7916/D8N58MHV}}
@inproceedings{Zhang:2016,
Acmid = {2934880},
Address = {New York, NY, USA},
Author = {Zhang, Hong and Chen, Li and Yi, Bairen and Chen, Kai and Chowdhury, Mosharaf and Geng, Yanhui},
Booktitle = {Proceedings of the 2016 ACM SIGCOMM Conference},
Doi = {10.1145/2934872.2934880},
Isbn = {978-1-4503-4193-6},
Keywords = {Coflow;, data-intensive applications;, datacenter networks},
Location = {Florianopolis, Brazil},
Numpages = {14},
Pages = {160--173},
Publisher = {ACM},
Series = {SIGCOMM '16},
Title = {CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark},
Url = {http://doi.acm.org/10.1145/2934872.2934880},
Year = {2016}}
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