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Translate Wisely! An Evaluation of Close and Adaptive Translation Procedures in an Experiment Involving Questionnaire Translation
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In: International journal of sociology ; 51 ; 2 ; 135-162 (2022)
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What Constitutes a Local Public Sphere? Building a Monitoring Framework for Comparative Analysis
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In: Media and Communication ; 9 ; 3 ; 85-96 ; Spaces, Places, and Geographies of Public Spheres (2022)
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Generating Samples of Diasporic Minority Populations: A Chilean Example
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In: Targeting International Audiences: Current and Future Approaches to International Broadcasting Research ; 3 ; CIBAR Proceedings ; 138-149 ; Conference of International Broadcasters' Audience Research Services (CIBAR) ; XX (2022)
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The Optimism-Pessimism Short Scale-2 (SOP2): a comprehensive validation of the English-language adaptation
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In: Measurement Instruments for the Social Sciences ; 4 ; 1-14 (2022)
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Nonsequential neural network for simultaneous, consistent classification, and photometric redshifts of OTELO galaxies
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La lecture contrôlée et assistée par l’analyse statistique des données textuelles : comment et pourquoi interroger un corpus numérique ?
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In: ISSN: 0994-6632 ; Le Français dans le monde. Recherches et applications ; https://hal.archives-ouvertes.fr/hal-03143287 ; Le Français dans le monde. Recherches et applications, CLE International / Français dans le monde, 2021, Langue et pratiques numériques: nouveaux repères, nouvelles littératies en didactique des langues, pp.84-100 (2021)
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Warum wir so wenig über die Sprachen in Deutschland wissen: Spracheinstellungen als Erkenntnisbarriere
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In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 16 ; 4 ; 403-419 ; Perspektiven von Kindern und Jugendlichen auf sprachliche Diversität und Sprachbildungsprozesse (2021)
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Afterword: Future Directions in Multinational, Multiregional, and Multicultural (3MC) Survey Research
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In: The essential role of language in survey research ; 243-256 (2021)
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The Visualisation of Polyadic Sustained Shared Thinking Interactions: A Methodological Approach
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In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 22 ; 2 (2021)
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Jugendforschung inklusiv und digital: Möglichkeiten, Voraussetzungen und Grenzen von Gebärdensprachvideos in digitalen Erhebungen
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In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 14 ; 3 ; 308-322 ; Neue Methoden der Jugendforschung (2021)
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Multi-mode question pretesting: Using traditional cognitive interviews and online testing as complementary methods
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In: Survey Methods: Insights from the Field ; 1-14 ; Advancements in Online and Mobile Survey Methods (2021)
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Der Ausstellungsinterviewrundgang (AIR) als Methode: Experimentelles Forschen mit Objekten am Beispiel der Wahrnehmung von Commons-Logiken
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In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 22 ; 1 (2021)
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| 14 |
International assessment of low reading proficiency in the adult population: A question of components or lower rungs?
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In: International Review of Education ; 66 ; 2-3 ; 267-288 ; Special issue on Literacy and numeracy: Global and comparative perspectives (2021)
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Assessing the use of back translation: the shortcomings of back translation as a quality testing method
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In: International Journal of Social Research Methodology ; 20 ; 6 ; 573-584 (2021)
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Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
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In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
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| 17 |
Examining the role of linguistic context in aspectual competition: a statistical study.
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| 19 |
Adopting a Meta-Generative Way of Thinking in the Field of Education via the Use of Bayesian Methods: A Multimethod Approach in a Post-Truth and COVID-19 Era
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Galaxy classification: Deep learning on the OTELO and COSMOS databases
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de Diego, José A.; Nadolny, Jakub; Bongiovanni, Ángel; Cepa, Jordi; Pović, Mirjana; Pérez García, Ana María; Padilla Torres, Carmen P.; Lara-López, Maritza A.; Cerviño, Miguel; Pérez Martínez, Ricardo; Alfaro, Emilio J.; Castañeda, Héctor O.; Fernández Lorenzo, M.; Gallego, Jesús; González, J. Jesús; González-Serrano, José Ignacio; Pintos-Castro, Irene; Sánchez-Portal, Miguel; Cedrés, Bernabé; González-Otero, Mauro; Heath Jones, D.; Bland-Hawthorn, Joss. - : EDP Sciences, 2020
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Abstract:
Context. The accurate classification of hundreds of thousands of galaxies observed in modern deep surveys is imperative if we want to understand the universe and its evolution. Aims. Here, we report the use of machine learning techniques to classify early- and late-type galaxies in the OTELO and COSMOS databases using optical and infrared photometry and available shape parameters: either the Sérsic index or the concentration index. Methods. We used three classification methods for the OTELO database: (1) u? -? r color separation, (2) linear discriminant analysis using u? -? r and a shape parameter classification, and (3) a deep neural network using the r magnitude, several colors, and a shape parameter. We analyzed the performance of each method by sample bootstrapping and tested the performance of our neural network architecture using COSMOS data. Results. The accuracy achieved by the deep neural network is greater than that of the other classification methods, and it can also operate with missing data. Our neural network architecture is able to classify both OTELO and COSMOS datasets regardless of small differences in the photometric bands used in each catalog. Conclusions. In this study we show that the use of deep neural networks is a robust method to mine the cataloged data. © ESO 2020. ; This work was supported by the project Evolution of Galaxies, of reference AYA2014-58861-C3-1-P and AYA2017-88007-C3-1-P, within the "Programa estatal de fomento de la investigacion cientifica y tecnica de excelencia del Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion (2013-2016)" of the "Agencia Estatal de Investigacion del Ministerio de Ciencia, Innovacion y Universidades", and co-financed by the FEDER "Fondo Europeo de Desarrollo Regional". JAD is grateful for the support from the UNAM-DGAPA-PASPA 2019 program, the UNAM-CIC, the Canary Islands CIE: Tricontinental Atlantic Campus 2017, and the kind hospitality of the IAC. MP acknowledges financial supports from the Ethiopian Space Science and Technology Institute (ESSTI) under the Ethiopian Ministry of Innovation and Technology (MoIT), and from the Spanish Ministry of Economy and Competitiveness (MINECO) through projects AYA2013-42227-P and AYA2016-76682C3-1-P. APG, MSP and RPM were supported by the PNAYA project: AYA2017-88007-C3-2-P. MC and APG are also funded by Spanish State Research Agency grant MDM-2017-0737 (Unidad de Excelencia Maria de Maeztu CAB). EJA acknowledges support from the Spanish Government Ministerio de Ciencia, Innovacion y Universidades though grant PGC2018-095049-B-C21. M.P. and E.J.A. also acknowledge support from the State Agency for Research of the Spanish MCIU through the Center of Excellence Severo Ochoa award for the Instituto de Astrofisica de Andalucia (SEV-2017-0709). JG receives support through the project AyA2018-RTI-096188-B-100. MALL acknowledges support from the Carlsberg Foundation via a Semper Ardens grant (CF15-0384). JIGS receives support through the Proyecto Puente 52.JU25.64661 (2018) funded by Sodercan S.A. and the Universidad de Cantabria, and PGC2018-099705-B-100 funded by the Ministerio de Ciencia, Innovacion y Universidades. Based on observations made with the Gran Telescopio Canarias (GTC), installed in the Spanish Observatorio del Roque de los Muchachos of the Instituto de Astrofisica de Canarias, in the island of La Palma. This work is (partly) based on data obtained with the instrument OSIRIS, built by a Consortium led by the Instituto de Astrofisica de Canarias in collaboration with the Instituto de Astronomia of the Universidad Autonoma de Mexico. OSIRIS was funded by GRANTECAN and the National Plan of Astronomy and Astrophysics of the Spanish Government.
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Keyword:
Galaxies: general; Methods: statistical
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URL: http://hdl.handle.net/10261/218220
https://doi.org/10.1051/0004-6361/202037697
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