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@ARTICLE{2021MNRAS.502.1334S, author = {{Sreehari}, H. and {Nandi}, Anuj}, title = "{A machine learning approach for classification of accretion states of black hole binaries}", journal = {\mnras}, keywords = {accretion, accretion disc, black hole physics, methods: data analysis, X-rays: binaries, Astrophysics - High Energy Astrophysical Phenomena}, year = 2021, month = mar, volume = {502}, number = {1}, pages = {1334-1343}, doi = {10.1093/mnras/stab151}, archivePrefix = {arXiv}, eprint = {2101.06218}, primaryClass = {astro-ph.HE}, adsurl = {https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.1334S}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }
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