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Peter Butka | Viera Maslej-Kresnáková | Michal Cokina | Stefan Parimucha | P. Butka | V. Maslej-Krešňáková | S. Parimucha | M. Cokina
[1] M. Fedurco,et al. ELISa: A new tool for fast modelling of eclipsing binaries , 2021, Astronomy & Astrophysics.
[2] M. Fedurco,et al. Light curve modelling of close eclipsing binaries , 2020 .
[3] A. Prša,et al. Beyond DC and MCMC: alternative algorithms and approaches to fitting light curves , 2020 .
[4] A. Prša. Modeling and Analysis of Eclipsing Binary Stars , 2018 .
[5] Pavlos Protopapas,et al. Deep Learning for Image Sequence Classification of Astronomical Events , 2018, Publications of the Astronomical Society of the Pacific.
[6] S. Bloemen,et al. PHYSICS OF ECLIPSING BINARIES. II. TOWARD THE INCREASED MODEL FIDELITY , 2016, 1609.08135.
[7] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[8] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[9] J. Southworth. The DEBCat detached eclipsing binary catalogue , 2014, 1411.1219.
[10] O. Demircan,et al. The Catalogue of Stellar Parameters from the Detached Double-Lined Eclipsing Binaries in the Milky Way , 2014, Publications of the Astronomical Society of Australia.
[11] D. Smits,et al. Modelling of W UMa-type variable stars , 2010 .
[12] M. Holman,et al. Transiting Exoplanet Survey Satellite (TESS) , 2009 .
[13] Edmondo Trentin,et al. A Novel Connectionist System for Unconstrained Handwriting Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] J. Torra,et al. A procedure for the classification of eclipsing binaries , 2007 .
[15] J. Torra,et al. A catalogue of eclipsing variables , 2006 .
[16] L. M. Sarro,et al. Automatic classification of eclipsing binaries light curves using neural networks , 2005, astro-ph/0511346.
[17] A. Prsa,et al. A Computational Guide to Physics of Eclipsing Binaries. I. Demonstrations and Perspectives , 2005, astro-ph/0503361.
[18] R. Kurucz,et al. New Grids of ATLAS9 Model Atmospheres , 2004, astro-ph/0405087.
[19] T. Pribulla,et al. Catalogue of the field contact binary stars , 2003 .
[20] C. Tout,et al. Evolution of binary stars and the effect of tides on binary populations , 2002, astro-ph/0201220.
[21] P. Hauschildt,et al. The use of the NextGen model atmospheres for cool giants in a light curve synthesis code , 2000, astro-ph/0010114.
[22] Josef Kallrath,et al. Eclipsing Binary Stars: Modeling and Analysis , 1999 .
[23] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.
[24] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[25] R. E. Wilson. BINARY STAR LIGHT-CURVE MODELS , 1994 .
[26] Y. T. Zhou,et al. Computation of optical flow using a neural network , 1988, IEEE 1988 International Conference on Neural Networks.
[27] H. Abt. Normal and abnormal binary frequencies , 1983 .
[28] R. E. Wilson. Eccentric orbit generalization and simultaneous solution of binary star light and velocity curves , 1979 .
[29] Robert E. Wilson,et al. Realization of Accurate Close-Binary Light Curves: Application to MR Cygni , 1971 .
[30] Alex Pappachen James,et al. Overview of Long Short-Term Memory Neural Networks , 2019, Modeling and Optimization in Science and Technologies.
[31] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[32] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[33] Shie Mannor,et al. A Tutorial on the Cross-Entropy Method , 2005, Ann. Oper. Res..
[34] Y. Chauvin,et al. Backpropagation: the basic theory , 1995 .
[35] Yann LeCun,et al. Generalization and network design strategies , 1989 .
[36] Andy Davis,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.