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SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data
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Beyond the fundamental metallicity relation: galaxy sizes encode the link between inflow and metallicity
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Euclid Quick Data Release (Q1)
L. Bazzanini, G. Angora, P. Bergamini, M. Meneghetti, P. Rosati, A. Acebron, C. Grillo, M. Lombardi, R. Ratta, M. Fogliardi, G. Di Rosa, D. Abriola, M. D’Addona, G. Granata, L. Leuzzi, A. Mercurio, J. M. Palencia, S. Schuldt, E. Vanzella, C. Tortora, B. Altieri, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, et al. Astronomy & Astrophysics 711 A156 (2026) https://doi.org/10.1051/0004-6361/202557590
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Disentangling conditional redshift effects in Quasar–Galaxy photometric classification
Quasar candidate selection and redshift estimation using J-PLUS DR3 data
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A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains
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Semi-supervised classification of stars, galaxies and quasars using K-means and random-forest approaches
A. Humphrey, P. A. C. Cunha, L. Bisigello, C. Tortora, M. Bolzonella, L. Pozzetti, M. Baes, B. R. Granett, A. Amara, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, S. Bardelli, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, S. Casas, M. Castellano, et al. Astronomy & Astrophysics 702 A74 (2025) https://doi.org/10.1051/0004-6361/202452468
Identification of anomalous E+A galaxies in GAMA using an isolation forest
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Can Fractal Dimension Distinguish between Grand-design and Flocculent Spiral Arms?
Identifying type II quasars at intermediate redshift with few-shot learning photometric classification
P. A. C. Cunha, A. Humphrey, J. Brinchmann, S. G. Morais, R. Carvajal, J. M. Gomes, I. Matute and A. Paulino-Afonso Astronomy & Astrophysics 687 A269 (2024) https://doi.org/10.1051/0004-6361/202346426
Radio galaxies classification system using machine learning techniques in the IoT Era
Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?
Andrea Sante, Andreea S Font, Sandra Ortega-Martorell, Ivan Olier and Ian G McCarthy Monthly Notices of the Royal Astronomical Society 531(4) 4363 (2024) https://doi.org/10.1093/mnras/stae1398
Exploring galactic properties with machine learning
Wide Area VISTA Extra-galactic Survey (WAVES): unsupervised star-galaxy separation on the WAVES-Wide photometric input catalogue using UMAP and hdbscan
Todd L Cook, Behnood Bandi, Sam Philipsborn, Jon Loveday, Sabine Bellstedt, Simon P Driver, Aaron S G Robotham, Maciej Bilicki, Gursharanjit Kaur, Elmo Tempel, Ivan Baldry, Daniel Gruen, Marcella Longhetti, Angela Iovino, Benne W Holwerda and Ricardo Demarco Monthly Notices of the Royal Astronomical Society 535(3) 2129 (2024) https://doi.org/10.1093/mnras/stae2389
A machine learning approach to estimate mid-infrared fluxes from WISE data
Ensemble Learning for Stellar Classification and Radius Estimation from Multimodal Data
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Fine-grained photometric classification using multi-model fusion method with redshift estimation
A Multimodal Transfer Learning Method for Classifying Images of Celestial Point Sources
Bingjun Wang, Shuxin Hong, Zhiyang Yuan, A-Li Luo, Xiao Kong and Zhiqiang Zou Publications of the Astronomical Society of the Pacific 135(1052) 104502 (2023) https://doi.org/10.1088/1538-3873/acfbb9
Stellar classification with convolutional neural networks and photometric images: a new catalogue of 50 million SDSS stars without spectra
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations
A Humphrey, P A C Cunha, A Paulino-Afonso, et al. Monthly Notices of the Royal Astronomical Society 520(1) 305 (2023) https://doi.org/10.1093/mnras/stac3596
Random forest Algorithm for the Classification of Spectral Data of Astronomical Objects
Đorđe V. Savić, Isidora Jankov, Weixiang Yu, Vincenzo Petrecca, Matthew J. Temple, Qingling Ni, Raphael Shirley, Andjelka B. Kovačević, Mladen Nikolić, Dragana Ilić, Luka Č. Popović, Maurizio Paolillo, Swayamtrupta Panda, Aleksandra Ćiprijanović and Gordon T. Richards The Astrophysical Journal 953(2) 138 (2023) https://doi.org/10.3847/1538-4357/ace31a
Selection of powerful radio galaxies with machine learning
R. Carvajal, I. Matute, J. Afonso, R. P. Norris, K. J. Luken, P. Sánchez-Sáez, P. A. C. Cunha, A. Humphrey, H. Messias, S. Amarantidis, D. Barbosa, H. A. Cruz, H. Miranda, A. Paulino-Afonso and C. Pappalardo Astronomy & Astrophysics 679 A101 (2023) https://doi.org/10.1051/0004-6361/202245770
The miniJPAS survey quasar selection – I. Mock catalogues for classification
Carolina Queiroz, L Raul Abramo, Natália V N Rodrigues, Ignasi Pérez-Ràfols, Ginés Martínez-Solaeche, Antonio Hernán-Caballero, Carlos Hernández-Monteagudo, Alejandro Lumbreras-Calle, Matthew M Pieri, Sean S Morrison, Silvia Bonoli, Jonás Chaves-Montero, Ana L Chies-Santos, L A Díaz-García, Alberto Fernandez-Soto, Rosa M González Delgado, Jailson Alcaniz, Narciso Benítez, A Javier Cenarro, Tamara Civera, Renato A Dupke, Alessandro Ederoclite, Carlos López-Sanjuan, Antonio Marín-Franch, Claudia Mendes de Oliveira, et al. Monthly Notices of the Royal Astronomical Society 520(3) 3476 (2023) https://doi.org/10.1093/mnras/stac2962
Machine learning-based photometric classification of galaxies, quasars, emission-line galaxies, and stars
Fatemeh Zahra Zeraatgari, Fatemeh Hafezianzadeh, Yanxia Zhang, Liquan Mei, Ashraf Ayubinia, Amin Mosallanezhad and Jingyi Zhang Monthly Notices of the Royal Astronomical Society 527(3) 4677 (2023) https://doi.org/10.1093/mnras/stad3436
R von Marttens, V Marra, M Quartin, L Casarini, P O Baqui, A Alvarez-Candal, F J Galindo-Guil, J A Fernández-Ontiveros, Andrés del Pino, L A Díaz-García, C López-Sanjuan, J Alcaniz, R Angulo, A J Cenarro, D Cristóbal-Hornillos, R Dupke, A Ederoclite, C Hernández-Monteagudo, A Marín-Franch, M Moles, L Sodré, J Varela and H Vázquez Ramió Monthly Notices of the Royal Astronomical Society 527(2) 3347 (2023) https://doi.org/10.1093/mnras/stad3373
The Quasar Candidate Catalogs of DESI Legacy Imaging Survey Data Release 9
Data mining techniques on astronomical spectra data – II. Classification analysis
Haifeng Yang, Lichan Zhou, Jianghui Cai, et al. Monthly Notices of the Royal Astronomical Society 518(4) 5904 (2022) https://doi.org/10.1093/mnras/stac3292
A new automated tool for the spectral classification of OB stars
Shruthi Srinivasaprasad Lecture Notes on Data Engineering and Communications Technologies, Congress on Intelligent Systems 111 667 (2022) https://doi.org/10.1007/978-981-16-9113-3_49
Practical galaxy morphology tools from deep supervised representation learning
Mike Walmsley, Anna M M Scaife, Chris Lintott, et al. Monthly Notices of the Royal Astronomical Society 513(2) 1581 (2022) https://doi.org/10.1093/mnras/stac525
Photometric redshift-aided classification using ensemble learning
Applying Random Forest Classification to Ultracool Dwarf Discovery in Deep Surveys. I. Color Classification with SDSS, UKIDSS, and WISE Photometry
Zijie Gong, Adriana Nava Vega, Eduardo Gauna Gutierrez, Arantxa Mendiola Maytorena, Carlos Verdaguer, Christian Aganze, Christopher Danner and Adam J. Burgasser Research Notes of the AAS 6(4) 74 (2022) https://doi.org/10.3847/2515-5172/ac6521
The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data
Abdurro’uf, Katherine Accetta, Conny Aerts, Víctor Silva Aguirre, Romina Ahumada, Nikhil Ajgaonkar, N. Filiz Ak, Shadab Alam, Carlos Allende Prieto, Andrés Almeida, Friedrich Anders, Scott F. Anderson, Brett H. Andrews, Borja Anguiano, Erik Aquino-Ortíz, Alfonso Aragón-Salamanca, Maria Argudo-Fernández, Metin Ata, Marie Aubert, Vladimir Avila-Reese, Carles Badenes, Rodolfo H. Barbá, Kat Barger, Jorge K. Barrera-Ballesteros, Rachael L. Beaton, et al. The Astrophysical Journal Supplement Series 259(2) 35 (2022) https://doi.org/10.3847/1538-4365/ac4414
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
Machine-learning classification of astronomical sources: estimating F1-score in the absence of ground truth
A Humphrey, W Kuberski, J Bialek, N Perrakis, W Cools, N Nuyttens, H Elakhrass and P A C Cunha Monthly Notices of the Royal Astronomical Society: Letters 517(1) L116 (2022) https://doi.org/10.1093/mnrasl/slac120
Beyond the Local Volume. I. Surface Densities of Ultracool Dwarfs in Deep HST/WFC3 Parallel Fields
Christian Aganze, Adam J. Burgasser, Mathew Malkan, Christopher A. Theissen, Roberto A. Tejada Arevalo, Chih-Chun Hsu, Daniella C. Bardalez Gagliuffi, Russell E. Ryan and Benne Holwerda The Astrophysical Journal 924(2) 114 (2022) https://doi.org/10.3847/1538-4357/ac35ea
Mohammad Abu Tareq Rony, D. S. A. Aashiqur Reza, Robiul Mostafa and Md. Ahsan Ullah 1 (2021) https://doi.org/10.1109/ICECIT54077.2021.9641238
Estimation of Photometric Redshifts. I. Machine-learning Inference for Pan-STARRS1 Galaxies Using Neural Networks
Discovery of five new Galactic symbiotic stars in the VPHAS+ survey
Stavros Akras, Denise R Gonçalves, Alvaro Alvarez-Candal and Claudio B Pereira Monthly Notices of the Royal Astronomical Society 502(2) 2513 (2021) https://doi.org/10.1093/mnras/stab195
Attention-gating for improved radio galaxy classification
Micah Bowles, Anna M M Scaife, Fiona Porter, Hongming Tang and David J Bastien Monthly Notices of the Royal Astronomical Society 501(3) 4579 (2021) https://doi.org/10.1093/mnras/staa3946
Classification of star/galaxy/QSO and star spectral types from LAMOST data release 5 with machine learning approaches
Identification of BASS DR3 sources as stars, galaxies, and quasars by XGBoost
Changhua Li, Yanxia Zhang, Chenzhou Cui, et al. Monthly Notices of the Royal Astronomical Society 506(2) 1651 (2021) https://doi.org/10.1093/mnras/stab1650
Photometric selection and redshifts for quasars in the Kilo-Degree Survey Data Release 4
On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2
L Nakazono, C Mendes de Oliveira, N S T Hirata, et al. Monthly Notices of the Royal Astronomical Society 507(4) 5847 (2021) https://doi.org/10.1093/mnras/stab1835
Deep Learning assessment of galaxy morphology in S-PLUS Data Release 1
C R Bom, A Cortesi, G Lucatelli, L O Dias, P Schubert, G B Oliveira Schwarz, N M Cardoso, E V R Lima, C Mendes de Oliveira, L Sodre, A V Smith Castelli, F Ferrari, G Damke, R Overzier, A Kanaan, T Ribeiro and W Schoenell Monthly Notices of the Royal Astronomical Society 507(2) 1937 (2021) https://doi.org/10.1093/mnras/stab1981
The great Kite in the sky: A LOFAR observation of the radio source in Abell 2626