activity
20202024
most citedGalaxy classification: deep learning on the OTELO and COSMOS databases

24 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

econ.TH2024

Measures of relevance to the success of streaming platforms

Juan Carlos Gonçalves-Dosantos, Ricardo Martínez, Joaquín Sánchez-Soriano

Digital streaming platforms, including Twitch, Spotify, Netflix, Disney, and Kindle, have emerged as one of the main sources of entertainment with significant growth potential. Man…

econ.TH2023

Order preservation with dummies in the musseum pass problem

Ricardo Martínez, Joaquín Sánchez-Soriano

We study the problem of sharing the revenue obtained by selling museum passes from the axiomatic perspective. In this setting, we propose replacing the usual dummy axiom with a mil…

astro-ph.IM2021★ 1 cited

Non-Sequential Neural Network for Simultaneous, Consistent Classification and Photometric Redshifts of OTELO Galaxies

José A. de Diego, Jakub Nadolny, Ángel Bongiovanni +17

Context. Computational techniques are essential for mining large databases produced in modern surveys with value-added products. Aims. This paper presents a machine learning proced…

astro-ph.GA2021★ 7 cited

The OTELO survey: Faint end of the luminosity function of [OII] emitters at <z>= 1.43

Bernabé Cedrés, Ángel Bongiovanni, Miguel Cerviño +15

In this paper, we aim to study the main properties and luminosity function (LF) of the [OII] emitters detected in the OTELO survey in order to characterise the star formation proce…

astro-ph.GA2020★ 24 cited

Galaxy classification: deep learning on the OTELO and COSMOS databases

José A. de Diego, Jakub Nadolny, Ángel Bongiovanni +19

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. Aim…