… However, most of the classifications have been build up on the optical emission-line
spectra. Even these classifications have a lot of disadvantages due to rough approach and not …

… In this paper, we aims to classify the emission-line galaxies of LAMOST survey based on
machine learning methods: MLP, SVM, K-nearest neighbor (KNN) and random forest (RF). We …

… have been utilized to classify galaxy spectra. Deep learning (… to classify galaxy spectra and
improve classification efficiency. … constructed to classify emission-line galaxy spectra, which …

… stellar population present in the spectra of galaxies. For emission line galaxies (spirals and
active galactic … about the gas ionization mechanisms and galaxy star formation rates. What …

… our spectral database used to disentangle between galaxies and QSOs does not include
spectra of star-forming galaxies at … in our database and are properly classified (see Table B.1). …

… spectra of approximately 2500 bright galaxies, 3500 luminous red galaxies (LRGs), and 10,000
emission-line galaxies … survey design yields samples of bright galaxies, LRGs, and ELGs …

… order to characterize the spectra of extremely metal-poor stellar populations in Section 3.3. …
stellar continuum fits of Section 3 with the emission line ratios from the optical and UV spectra …

… -fit stellar mass (0.01 dex in median). Trying to find an exact match of the EWs and fluxes of
the [O iii]λ5007 emission line … ionization parameters and younger stellar population ages are …

… point sources (stars and quasars) and extended sources (galaxies), … normal galaxies from
active or emission-line galaxies is … One common approach to classify distinct sources from an …

… obtained for a set of spatial-spectral profiles of emission line emitters and (iii) a … spectra are
still classified as nuisances, the process is repeated until there is no more spectrum classified …