EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues A&A, 385 3 (2002) 1119-1126 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Exploring galactic properties with machine learning

F. Z. Zeraatgari, F. Hafezianzadeh, Y.-X. Zhang, A. Mosallanezhad and J.-Y. Zhang
Astronomy & Astrophysics 688 A33 (2024)
https://doi.org/10.1051/0004-6361/202348714

Photometric identification of compact galaxies, stars, and quasars using multiple neural networks

Siddharth Chaini, Atharva Bagul, Anish Deshpande, Rishi Gondkar, Kaushal Sharma, M Vivek and Ajit Kembhavi
Monthly Notices of the Royal Astronomical Society 518 (2) 3123 (2022)
https://doi.org/10.1093/mnras/stac3336

Identification of emission-line stars in transition phase from pre-main sequence to main sequence

Suman Bhattacharyya, Blesson Mathew, Gourav Banerjee, et al.
Monthly Notices of the Royal Astronomical Society 507 (3) 3660 (2021)
https://doi.org/10.1093/mnras/stab2385

Development of accurate classification of heavenly bodies using novel machine learning techniques

Michał Wierzbiński, Paweł Pławiak, Mohamed Hammad and U. Rajendra Acharya
Soft Computing 25 (10) 7213 (2021)
https://doi.org/10.1007/s00500-021-05687-4

Proceedings of International Conference on Machine Intelligence and Data Science Applications

Neha Malik, Vivek Jaglan, Shashikant Gupta and Meenu Vijarania
Algorithms for Intelligent Systems, Proceedings of International Conference on Machine Intelligence and Data Science Applications 737 (2021)
https://doi.org/10.1007/978-981-33-4087-9_59

Improving significance of binary black hole mergers in Advanced LIGO data using deep learning: Confirmation of GW151216

Shreejit Jadhav, Nikhil Mukund, Bhooshan Gadre, Sanjit Mitra and Sheelu Abraham
Physical Review D 104 (6) (2021)
https://doi.org/10.1103/PhysRevD.104.064051

Predicting bulge to total luminosity ratio of galaxies using deep learning

Harsh Grover, Omkar Bait, Yogesh Wadadekar and Preetish K Mishra
Monthly Notices of the Royal Astronomical Society 506 (3) 3313 (2021)
https://doi.org/10.1093/mnras/stab1935

Predicting star formation properties of galaxies using deep learning

Shraddha Surana, Yogesh Wadadekar, Omkar Bait and Hrushikesh Bhosale
Monthly Notices of the Royal Astronomical Society 493 (4) 4808 (2020)
https://doi.org/10.1093/mnras/staa537

Transient classification in LIGO data using difference boosting neural network

N. Mukund, S. Abraham, S. Kandhasamy, S. Mitra and N. S. Philip
Physical Review D 95 (10) (2017)
https://doi.org/10.1103/PhysRevD.95.104059

Eduardo Machado, Marcello Serqueira, Eduardo Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes and Eduardo Bezerra
123 (2016)
https://doi.org/10.1109/IJCNN.2016.7727189

Astrostatistical Challenges for the New Astronomy

Marc Henrion, Daniel J. Mortlock, David J. Hand and Axel Gandy
Astrostatistical Challenges for the New Astronomy 149 (2013)
https://doi.org/10.1007/978-1-4614-3508-2_8

A photometric catalogue of quasars and other point sources in the Sloan Digital Sky Survey

Sheelu Abraham, Ninan Sajeeth Philip, Ajit Kembhavi, Yogesh G. Wadadekar and Rita Sinha
Monthly Notices of the Royal Astronomical Society 419 (1) 80 (2012)
https://doi.org/10.1111/j.1365-2966.2011.19674.x

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Jorge de la Calleja, Gladis Huerta, Olac Fuentes, et al.
Lecture Notes in Computer Science, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 6419 533 (2010)
https://doi.org/10.1007/978-3-642-16687-7_70

Automated star–galaxy segregation using spectral and integrated band data for TAUVEX/ASTROSAT satellite data pipeline

Archana Bora, Ranjan Gupta, Harinder P. Singh and K. Duorah
New Astronomy 14 (8) 649 (2009)
https://doi.org/10.1016/j.newast.2009.03.005

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

K. Revathy
Studies in Computational Intelligence, Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images 46 339 (2007)
https://doi.org/10.1007/978-3-540-47518-7_5

Automatic classification of eclipsing binaries light curves using neural networks

L. M. Sarro, C. Sánchez-Fernández and Á. Giménez
Astronomy & Astrophysics 446 (1) 395 (2006)
https://doi.org/10.1051/0004-6361:20052830

The application of the Faint Object Classification and Analysis System (FOCAS) and Source Extractor (SExtractor) packages to the Digitized Sky Survey

M. Biernacka, P. Flin and J. Krywult
Astronomical and Astrophysical Transactions 25 (1) 75 (2006)
https://doi.org/10.1080/10556790600849924

Mathematical Morphology: Star/Galaxy Differentiation & Galaxy Morphology Classification

Jason A. Moore, Kevin A. Pimbblet and Michael J. Drinkwater
Publications of the Astronomical Society of Australia 23 (04) 135 (2006)
https://doi.org/10.1071/AS06010

Artificial Neural Nets Problem Solving Methods

Luis M. Sarro
Lecture Notes in Computer Science, Artificial Neural Nets Problem Solving Methods 2687 631 (2003)
https://doi.org/10.1007/3-540-44869-1_80