activity
20182022
most citedExploring the political pulse of a country using data science tools

1 citations · 1 across the 2 of their papers we have counts for

collaborators

10 papers

cs.LG2022

Predicting the traffic flux in the city of Valencia with Deep Learning

Miguel G. Folgado, Veronica Sanz, Johannes Hirn +2

Traffic congestion is a major urban issue due to its adverse effects on health and the environment, so much so that reducing it has become a priority for urban decision-makers. In…

hep-ph2021

Dark Matter Phenomenology: Sterile Neutrino Portal and Gravitational Portal in Extra-Dimensions

Miguel G. Folgado

The Standard Model of Fundamental Interactions (SM) represents one of the most precise theories in physics. Among the predictions of the SM we find, for instance, the anomalous mag…

hep-ph2020

FIMP Dark Matter in Clockwork/Linear Dilaton Extra-Dimensions

Nicolás Bernal, Andrea Donini, Miguel G. Folgado +1

We study the possibility that Dark Matter (DM) is made of Feebly Interacting Massive Particles (FIMP) interacting just gravitationally with the Standard Model particles in the fram…

cs.SI20201 cited

Exploring the political pulse of a country using data science tools

Miguel G. Folgado, Verónica Sanz

In this paper we illustrate the use of Data Science techniques to analyse complex human communication. In particular, we consider tweets from leaders of political parties as a dyna…

hep-ph2020

Spin-dependence of Gravity-mediated Dark Matter in Warped Extra-Dimensions

Miguel G. Folgado, Andrea Donini, Nuria Rius

We study the spin-dependence of Dark Matter (DM) particles which interact gravitationally with the Standard Model (SM) in an extra-dimensional Randall-Sundrum scenario. We assume t…

hep-ph2020

On the interpretation of non-resonant phenomena at colliders

Miguel G. Folgado, Veronica Sanz

With null results in resonance searches at the LHC, the physics potential focus is now shifting towards the interpretation of non-resonant phenomena. An example of such shift is th…