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:

Identifying New High-confidence Polluted White Dwarf Candidates Using Gaia XP Spectra and Self-organizing Maps

Xabier Pérez-Couto, Lara Pallas-Quintela, Minia Manteiga, Eva Villaver and Carlos Dafonte
The Astrophysical Journal 977 (1) 31 (2024)
https://doi.org/10.3847/1538-4357/ad88f5

The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys

M. Huertas-Company and F. Lanusse
Publications of the Astronomical Society of Australia 40 (2023)
https://doi.org/10.1017/pasa.2022.55

Where’s Swimmy?: Mining unique color features buried in galaxies by deep anomaly detection using Subaru Hyper Suprime-Cam data

Takumi S Tanaka, Rhythm Shimakawa, Kazuhiro Shimasaku, Yoshiki Toba, Nobunari Kashikawa, Masayuki Tanaka and Akio K Inoue
Publications of the Astronomical Society of Japan 74 (1) 1 (2022)
https://doi.org/10.1093/pasj/psab105

YOUNG Star detrending for Transiting Exoplanet Recovery (YOUNGSTER) – II. Using self-organizing maps to explore young star variability in sectors 1–13 of TESS data

Matthew P Battley, David J Armstrong and Don Pollacco
Monthly Notices of the Royal Astronomical Society 511 (3) 4285 (2022)
https://doi.org/10.1093/mnras/stac278

Identifying Outliers in Astronomical Images with Unsupervised Machine Learning

Yang Han, Zhiqiang Zou, Nan Li and Yanli Chen
Research in Astronomy and Astrophysics 22 (8) 085006 (2022)
https://doi.org/10.1088/1674-4527/ac7386

GUASOM: an adaptive visualization tool for unsupervised clustering in spectrophotometric astronomical surveys

M. A. Álvarez, C. Dafonte, M. Manteiga, D. Garabato and R. Santoveña
Neural Computing and Applications 34 (3) 1993 (2022)
https://doi.org/10.1007/s00521-021-06510-9

Intelligent Astrophysics

Lars Doorenbos, Stefano Cavuoti, Massimo Brescia, Antonio D’Isanto and Giuseppe Longo
Emergence, Complexity and Computation, Intelligent Astrophysics 39 197 (2021)
https://doi.org/10.1007/978-3-030-65867-0_9

Density-based outlier scoring on Kepler data

Daniel K Giles and Lucianne Walkowicz
Monthly Notices of the Royal Astronomical Society 499 (1) 524 (2020)
https://doi.org/10.1093/mnras/staa2736

A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys

Carlos Dafonte, Alejandra Rodríguez, Minia Manteiga, Ángel Gómez and Bernardino Arcay
Entropy 22 (5) 518 (2020)
https://doi.org/10.3390/e22050518

Detecting outliers in astronomical images with deep generative networks

Berta Margalef-Bentabol, Marc Huertas-Company, Tom Charnock, et al.
Monthly Notices of the Royal Astronomical Society 496 (2) 2346 (2020)
https://doi.org/10.1093/mnras/staa1647

Identifying strong lenses with unsupervised machine learning using convolutional autoencoder

Robert B Metcalf, Simon Dye, Alfonso Aragón-Salamanca, et al.
Monthly Notices of the Royal Astronomical Society 494 (3) 3750 (2020)
https://doi.org/10.1093/mnras/staa1015

Increasing the share of correct clustering of characteristic signal with random losses in self-organizing maps

Svitlana Shapovalova and Yurii Moskalenko
Eastern-European Journal of Enterprise Technologies 2 (4 (98)) 13 (2019)
https://doi.org/10.15587/1729-4061.2019.160670

Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis †

Carlos Dafonte, Daniel Garabato, Marco A. Álvarez and Minia Manteiga
Sensors 18 (5) 1419 (2018)
https://doi.org/10.3390/s18051419

Ubiquitous Computing and Ambient Intelligence

Daniel Garabato, Carlos Dafonte, Marco A. Álvarez and Minia Manteiga
Lecture Notes in Computer Science, Ubiquitous Computing and Ambient Intelligence 10586 840 (2017)
https://doi.org/10.1007/978-3-319-67585-5_81

SOMBI: Bayesian identification of parameter relations in unstructured cosmological data

Philipp Frank, Jens Jasche and Torsten A. Enßlin
Astronomy & Astrophysics 595 A75 (2016)
https://doi.org/10.1051/0004-6361/201628393

Neural Information Processing

Marco Antonio Álvarez, Carlos Dafonte, Daniel Garabato and Minia Manteiga
Lecture Notes in Computer Science, Neural Information Processing 9950 137 (2016)
https://doi.org/10.1007/978-3-319-46681-1_17

Classification of large-scale stellar spectra based on the non-linearly assembling learning machine

Zhongbao Liu, Lipeng Song and Wenjuan Zhao
Monthly Notices of the Royal Astronomical Society 455 (4) 4289 (2016)
https://doi.org/10.1093/mnras/stv2600

MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS

Daniel Masters, Peter Capak, Daniel Stern, et al.
The Astrophysical Journal 813 (1) 53 (2015)
https://doi.org/10.1088/0004-637X/813/1/53

GUASOM: Gaia Utility for Analysis and Knowledge Discovery based on Self Organizing Maps

D. Fustes, M. Manteiga, C. Dafonte, et al.
EAS Publications Series 67-68 373 (2014)
https://doi.org/10.1051/eas/1567073