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With the upcoming commensal surveys for Fast Radio Bursts (FRBs), and their high candidate rate, usage of machine learning algorithms for candidate classification is a necessity.
Krogh A., Hertz J. A., 1992, in Moody J. E., Hanson S. J., Lippmann R. P., eds, , Advances in Neural Information Processing Systems 4. Morgan-Kaufmann, pp 950–957, http://papers.nips.cc/paper/563-a-simple-weight-decay-can-improve-generalization.pdf
1992
Earlier work this paper cites.
Ester M., Kriegel H.-P., Sander J., Xu X., 1996, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. KDD’96. AAAI Press, pp 226–231, http://dl.acm.org/citation.cfm?id=3001460.3001507
1996
Earlier work this paper cites.
Hearst M. A., 1998, IEEE Intelligent Systems , 13, 18
1998
Earlier work this paper cites.
Breiman L., 2001, Mach. Learn. , 45, 5
2001
Earlier work this paper cites.
Cover T., Hart P., 2006, IEEE Trans. Inf. Theor. , 13, 21
2006
Earlier work this paper cites.
Lorimer D. R., Bailes M., McLaughlin M. A., Narkevic D. J., Crawford F., 2007, Science , 318, 777
2007
Earlier work this paper cites.
Deneva J. S., et al., 2009, ApJ , 703, 2259
2009
Earlier work this paper cites.
Deng J., Dong W., Socher R., Li L.-J., Li K., Fei-Fei L., 2009, in CVPR09
2009
Earlier work this paper cites.
Eatough R. P., Keane E. F., Lyne A. G., 2009, MNRAS , 395, 410
2009
Earlier work this paper cites.
Jiang Y., Zur R. M., Pesce L. L., Drukker K., 2009, in 2009 International Joint Conference on Neural Networks. pp 1428–1432, doi:10.1109/IJCNN.2009.5178981
2009
Earlier work this paper cites.
Nita G. M., Gary D. E., 2010, MNRAS , 406, L60
2010
Earlier work this paper cites.
Burke-Spolaor S., et al., 2011, MNRAS , 416, 2465
2011
Earlier work this paper cites.
Barsdell B. R., Bailes M., Barnes D. G., Fluke C. J., 2012, MNRAS , 422, 379
2012
Earlier work this paper cites.
Hosmer L., et al., 2013, in American Astronomical Society Meeting Abstracts #221. p. 345.24
2013
Earlier work this paper cites.
Simonyan K., Zisserman A., 2014, CoRR, abs/1409.1556
2014
Earlier work this paper cites.
Spitler L. G., et al., 2014, ApJ , 790, 101
2014
Earlier work this paper cites.
Towns J., et al., 2014, Computing in Science & Engineering , 16, 62
2014
Earlier work this paper cites.
Zhu W. W., et al., 2014, ApJ , 781, 117
2014
Earlier work this paper cites.
Abadi M., et al., 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, https://www.tensorflow.org/
2015
Earlier work this paper cites.
Bengio Y., LeCun Y., eds, 2015, 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings https://iclr.cc/archive/www/doku.php%3Fid=iclr2015:accepted-main.html
2015
Earlier work this paper cites.
Chollet F., et al., 2015, Keras, https://keras.io
2015
Earlier work this paper cites.
Eldan R., Shamir O., 2015, The Power of Depth for Feedforward Neural Networks ( arXiv:1512.03965 )
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
Han S., Pool J., Tran J., Dally W., 2015, in Cortes C., Lawrence N. D., Lee D. D., Sugiyama M., Garnett R., eds, , Advances in Neural Information Processing Systems 28. Curran Associates, Inc., pp 1135–1143, http://papers.nips.cc/paper/5784-learning-both-weights-and-connections-for-efficient-neural-network.pdf
2015
Earlier work this paper cites.
Kingma D. P., Ba J., 2015, in Bengio & LeCun (2015) , http://arxiv.org/abs/1412.6980
2015
Cited alongside, same era.
Masui K., et al., 2015, Nature , 528, 523
2015
Cited alongside, same era.
Nystrom N. A., Levine M. J., Roskies R. Z., Scott J. R., 2015, in Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. XSEDE ’15. ACM, New York, NY, USA, pp 30:1–30:8, doi:10.1145/2792745.2792775 , http://doi.acm.org/10.1145/2792745.2792775
2015
Cited alongside, same era.
Petroff E., et al., 2015, MNRAS , 447, 246
2015
Cited alongside, same era.
Champion D. J., et al., 2016, MNRAS , 460, L30
2016
Cited alongside, same era.
2017
Later among the works it cites.
Huang G., Liu Z., van der Maaten L., Weinberger K. Q., 2017, in 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. IEEE Computer Society, pp 2261–2269, doi:10.1109/CVPR.2017.243 , https://doi.org/10.1109/CVPR.2017.243
2017
Later among the works it cites.
Petroff E., et al., 2017, MNRAS , 469, 4465
2017
Later among the works it cites.
Szegedy C., Ioffe S., Vanhoucke V., Alemi A. A., 2017, in Singh S. P., Markovitch S., eds, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.. AAAI Press, pp 4278–4284, http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14806
2017
Later among the works it cites.
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2016
Cited alongside, same era.
2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016 IEEE Computer Society, http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7776647
2016
Cited alongside, same era.
Devine T. R., Goseva-Popstojanova K., McLaughlin M., 2016, MNRAS , 459, 1519
2016
Cited alongside, same era.
Dumez-Viou C., Weber R., Ravier P., 2016, Journal of Astronomical Instrumentation , 5, 1641019
2016
Cited alongside, same era.
Goodfellow I., Bengio Y., Courville A., 2016, Deep Learning. MIT Press
2016
Cited alongside, same era.
2016
Cited alongside, same era.
He K., Zhang X., Ren S., Sun J., 2016, in DBL (2016) , pp 770–778, doi:10.1109/CVPR.2016.90 , https://doi.org/10.1109/CVPR.2016.90
2016
Cited alongside, same era.
Tendulkar S. P., et al., 2017, ApJ , 834, L7
2017
Later among the works it cites.
Ackermann S., Schawinski K., Zhang C., Weigel A. K., Turp M. D., 2018, MNRAS , 479, 415
2018
Later among the works it cites.
Bethapudi S., Desai S., 2018, Astronomy and Computing , 23, 15
2018
Later among the works it cites.
Buda M., Maki A., Mazurowski M. A., 2018, Neural Networks , 106, 249
2018
Later among the works it cites.
Connor L., van Leeuwen J., 2018, The Astronomical Journal , 156, 256
2018
Later among the works it cites.
Foster G., et al., 2018, MNRAS , 474, 3847
2018
Later among the works it cites.
Gajjar V., et al., 2018, ApJ , 863, 2
2018
Later among the works it cites.
Iqbal H., 2018, HarisIqbal88/PlotNeuralNet v1.0.0, doi:10.5281/zenodo.2526396 , https://zenodo.org/record/2526396
2018
Later among the works it cites.
Law C. J., et al., 2018, ApJS , 236, 8
2018
Later among the works it cites.
McFadden R., Karastergiou A., Roberts S., 2018, in Weltevrede P., Perera B. B. P., Preston L. L., Sanidas S., eds, IAU Symposium Vol. 337, Pulsar Astrophysics the Next Fifty Years. pp 372–373, doi:10.1017/S1743921317009000
2018
Later among the works it cites.
Sandler M., Howard A. G., Zhu M., Zhmoginov A., Chen L., 2018, in 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. IEEE Computer Society, pp 4510–4520, doi:10.1109/CVPR.2018.00474 , http://openaccess.thecvf.com/content_cvpr_2018/html/Sandler_MobileNetV2_Inverted_Residuals_CVPR_2018_paper.html
2018
Later among the works it cites.
Shannon R. M., et al., 2018, Nature , 562, 386
2018
Later among the works it cites.
Vilalta R., 2018, arXiv e-prints, p. arXiv:1812.10403
2018
Later among the works it cites.
Zhang Y. G., Gajjar V., Foster G., Siemion A., Cordes J., Law C., Wang Y., 2018, ApJ , 866, 149
2018
Later among the works it cites.
Khan A., Huerta E. A., Wang S., Gruendl R., Jennings E., Zheng H., 2019, Physics Letters B , 795, 248
2019
Closest in time.
Pérez-Carrasco M., Cabrera-Vives G., Martinez-Marin M., Cerulo P., Demarco R., Protopapas P., Godoy J., Huertas-Company M., 2019, PASP , 131, 108002
2019
Closest in time.
Rajwade K. M., et al., 2019, MNRAS , 489, 1709
2019
Closest in time.
Surnis M. P., et al., 2019, Publ. Astron. Soc. Australia , 36, e032
2019
Closest in time.
Golpayegani G., et al., 2019, MNRAS , p. 2093
2093
Closest in time.