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HIP 15429: A newborn Be star on an eccentric binary orbit
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Wei Liu, Shuo Cao, Xian-Chuan Yu, Meng Zhu, Marek Biesiada, Jiawen Yao and Minghao Du The Astrophysical Journal Supplement Series 271(2) 53 (2024) https://doi.org/10.3847/1538-4365/ad29ef
Stellar parameter estimation in O-type stars using artificial neural networks
F. Arenou, C. Babusiaux, M. A. Barstow, S. Faigler, A. Jorissen, P. Kervella, T. Mazeh, N. Mowlavi, P. Panuzzo, J. Sahlmann, S. Shahaf, A. Sozzetti, N. Bauchet, Y. Damerdji, P. Gavras, P. Giacobbe, E. Gosset, J.-L. Halbwachs, B. Holl, M. G. Lattanzi, N. Leclerc, T. Morel, D. Pourbaix, P. Re Fiorentin, G. Sadowski, et al. Astronomy & Astrophysics 674 A34 (2023) https://doi.org/10.1051/0004-6361/202243782
Decomposition and Classification of Carbon Star Spectra
Spectral Classification and Particular Spectra Identification Based on Data Mining
Peng Yang, Guowei Yang, Fanlong Zhang, Bing Jiang and Mengxin Wang Archives of Computational Methods in Engineering 28(3) 917 (2021) https://doi.org/10.1007/s11831-020-09401-9
Stellar spectral interpolation using machine learning
Kaushal Sharma, Harinder P Singh, Ranjan Gupta, et al. Monthly Notices of the Royal Astronomical Society 496(4) 5002 (2020) https://doi.org/10.1093/mnras/staa1809
Pattern recognition in time series for space missions: A rosetta magnetic field case study
International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019
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Application of convolutional neural networks for stellar spectral classification
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International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019
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Application of Artificial Neural Networks for the Automatic Spectral Classification
Edgar Vilavicencio-Arcadia, Silvana G. Navarro, Luis J. Corral, et al. Mathematical Problems in Engineering 2020 1 (2020) https://doi.org/10.1155/2020/1751932
Stellar spectral classification and feature evaluation based on a random forest
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida and Pedro Alonso Palicio Astronomy & Astrophysics 629 A34 (2019) https://doi.org/10.1051/0004-6361/201935223
Machine learning in APOGEE
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida and Ignacio Ordovás-Pascual Astronomy & Astrophysics 612 A98 (2018) https://doi.org/10.1051/0004-6361/201732134
Adaptive stellar spectral subclass classification based on Bayesian SVMs
The Metallicity Distribution and Hot Jupiter Rate of the Kepler Field: Hectochelle High-resolution Spectroscopy for 776 Kepler Target Stars
Xueying Guo, John A. Johnson, Andrew W. Mann, Adam L. Kraus, Jason L. Curtis and David W. Latham The Astrophysical Journal 838(1) 25 (2017) https://doi.org/10.3847/1538-4357/aa6004
Evaluation of data compression techniques for the inference of stellar atmospheric parameters from high-resolution spectra
A. González-Marcos, L. M. Sarro, J. Ordieres-Meré and A. Bello-García Monthly Notices of the Royal Astronomical Society 465(4) 4556 (2017) https://doi.org/10.1093/mnras/stw3031
A new automated spectral feature extraction method and its application in spectral classification and defective spectra recovery
Distance determination to PNe using the extinction-distance method
Silvana G. Navarro, Romano L. M. Corradi and Antonio Mampaso Proceedings of the International Astronomical Union 7(S283) 460 (2011) https://doi.org/10.1017/S1743921312011921
The very large array: Design and performance of a modern synthesis radio telescope