All Stories

  1. Efficient selection of quasar candidates based on optical and infrared photometric data using machine learning
  2. The Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey: The Fourth and Fifth Data Releases
  3. The Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) Quasar Survey: Quasar Properties from Data Release Two and Three
  4. Imbalanced Learning for RR Lyrae Stars Based on SDSS and GALEX Databases
  5. The LAMOST Complete Spectroscopic Survey of Pointing Area (LaCoSSPAr) in the Southern Galactic Cap. I. The Spectroscopic Redshift Catalog
  6. Quasar Photometric Redshifts and Candidate Selection: A New Algorithm Based on Optical and Mid-infrared Photometric Data
  7. Astronomical data fusion tool based on PostgreSQL
  8. ELM-KNN for photometric redshift estimation of quasars
  9. A team spectral inspection platform based on ASERA
  10. Photometric redshift estimation for quasars by integration of KNN and SVM
  11. THE LARGE SKY AREA MULTI-OBJECT FIBER SPECTROSCOPIC TELESCOPE QUASAR SURVEY: QUASAR PROPERTIES FROM THE FIRST DATA RELEASE
  12. Photometric Redshift Techniques in Big-data Era
  13. Comparison of Approaches to Photometric Redshift Estimation of Quasars
  14. Improving Accuracy of Quasars' Photometric Redshift Estimation by Integration of KNN and SVM
  15. Astronomy in the Big Data Era
  16. A search for double-peaked narrow emission line galaxies and AGNs in the LAMOST DR1
  17. Data-mining Based Expert Platform for the Spectral Inspection
  18. Statistical analysis of cross-correlation sample of 3XMM-DR4 with SDSS-DR10 and UKIDSS-DR9
  19. ASERA: A spectrum eye recognition assistant for quasar spectra
  20. ESTIMATING PHOTOMETRIC REDSHIFTS OF QUASARS VIA THE k-NEAREST NEIGHBOR APPROACH BASED ON LARGE SURVEY DATABASES
  21. A SVM-kNN method for quasar-star classification
  22. Development of target allocation methods for LAMOST focal plate
  23. Survey of approaches for targeting quasars
  24. Support vector machines for photometric redshift measurement of quasars
  25. Review of techniques for photometric redshift estimation
  26. Toolkit of automated database creation and cross-match
  27. Selecting quasar candidates using a support vector machine classification system
  28. Classification of Quasars and Stars by Supervised and Unsupervised Methods
  29. Discriminating Quasars from Stars Based on SDSS and UKIDSS Databases
  30. SDSS QUASARS IN THEWISEPRELIMINARY DATA RELEASE AND QUASAR CANDIDATE SELECTION WITH OPTICAL/INFRARED COLORS
  31. Exploration of SDSS stellar database by AutoClass
  32. A high efficient and fast kNN algorithm based on CUDA
  33. Comparison of several algorithms for celestial object classification
  34. Automated classification of pointed sources
  35. Support vector machines for quasar selection
  36. An automated algorithm for determining photometric redshifts of quasars
  37. A simple and effective algorithm for quasar candidate selection
  38. Separating quasars from stars by support vector machines
  39. Approaches for photometric redshift estimation of quasars from SDSS and UKIDSS
  40. Automated Classification of Quasars and Stars
  41. Discrimination Between Quasars and Stars by Support Vector Machines
  42. Random forest algorithm for classification of multiwavelength data
  43. Morphology classification and photometric redshift measurement of galaxies
  44. Knowledge discovery in astronomical data
  45. Predicting photometric redshifts with polynomial regression
  46. An automatic system for photometric redshift estimation based on sky survey data
  47. System architectural design of multiwavelength data mining
  48. k-Nearest Neighbors for automated classification of celestial objects
  49. Support vector machines and kd-tree for separating quasars from large survey data bases
  50. Radio Star Candidates from FIRST and 2MASS Databases
  51. Two Novel Approaches for Photometric Redshift Estimation based on SDSS and 2MASS
  52. Comparison of decision tree methods for finding active objects
  53. Feature selection for high-dimensional data in astronomy
  54. Decision table for classifying point sources based on FIRST and 2MASS databases
  55. Data Mining in Astronomy
  56. Kernel regression for determining photometric redshifts from Sloan broad-band photometry
  57. Estimating Photometric Redshifts with Artificial Neural Networks and Multi-Parameters
  58. A Comparison of BBN, ADTree and MLP in separating Quasars from Large Survey Catalogues
  59. Support Vector Machines for Photometric Redshift Estimation from Broadband Photometry
  60. A system integrated with query, cross-matching and visualization
  61. Software kits for measuring photometric redshifts
  62. Preselecting AGN candidates from multi-wavelength data by ADTree
  63. Mining the LAMOST spectral archive
  64. Outlier detection in astronomical data
  65. An automated classification algorithm for multiwavelength data
  66. Design and implementation of the spectra reduction and analysis software for LAMOST Telescope
  67. Automated clustering algorithms for classification of astronomical objects
  68. Research on Automatic Classification Methods in Multiwavelength Astrophysics
  69. Classification in Multidimensional Parameter Space: Methods and Examples
  70. Learning Vector Quantization for Classifying Astronomical Objects
  71. Classification of AGNs from stars and normal galaxies by support vector machines
  72. Classification of Active Objects in the Multiwavelength Parametric Space