output
20022026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2023Show all

34 papers · 1 filter

q-bio.NC202341 cited

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

Francisco Jesus Martinez-Murcia, Andrés Ortiz, Juan Manuel Górriz +4

The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal…

cs.CV2023104 cited

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Francisco J. Martinez-Murcia, Juan M. Górriz, Javier Ramírez +1

Spatial and intensity normalization are nowadays a prerequisite for neuroimaging analysis. Influenced by voxel-wise and other univariate comparisons, where these corrections are ke…

astro-ph.SR2023

The PL diagram for Sct stars: back in business as distance estimators

A. García Hernández, J. Pascual-Granado, M. Lares-Martiz +4

In this work, we focus on the period-luminosity relation (PLR) of Sct stars, in which mode excitation and selection mechanisms are still poorly constrained, and whose structure…

cs.CV202315 cited

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images

Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato +1

In the last years, the weakly supervised paradigm of multiple instance learning (MIL) has become very popular in many different areas. A paradigmatic example is computational patho…

astro-ph.GA20231 cited

ALMA Lensing Cluster Survey: average dust, gas, and star formation properties of cluster and field galaxies from stacking analysis

Andrea Guerrero, Neil Nagar, Kotaro Kohno +18

We develop new tools for continuum and spectral stacking of ALMA data, and apply these to the ALMA Lensing Cluster Survey (ALCS). We derive average dust masses, gas masses and star…

cond-mat.mes-hall202322 cited

Exploiting ambipolarity in graphene field-effect transistors for novel designs on high-frequency analog electronics

Francisco Pasadas, Alberto Medina-Rull, Francisco G. Ruiz +8

Exploiting ambipolar electrical conductivity based on graphene field-effect transistors has raised enormous interest for high-frequency (HF) analog electronics. Controlling the dev…