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- Universidade de Santiago de CompostelaES24 papers
- Universidade da CoruñaES21 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Instituto de Astrofísica de CanariasES9 papers
- Centro de AstrobiologíaES7 papers
- Instituto de Astrofísica de AndalucíaES7 papers
- Universidad de La LagunaES7 papers
- University of LisbonPT7 papers
- Consejo Superior de Investigaciones CientíficasES6 papers
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- KU LeuvenBE6 papers
- Observatoire de la Côte d’AzurFR6 papers
10 papers · 1 filter
S2D2: Small-scale Significant substructure DBSCAN Detection I. NESTs detection in 2D star-forming regions
Marta González, Isabelle Joncour, Anne S. M. Buckner +13
The spatial and dynamical structure of star-forming regions can help provide insights on stellar formation patterns. The amount of data from current and upcoming surveys calls for…
Wide binaries in Planetary Nebulae with Gaia DR2
I. González-Santamaría, M. Manteiga, A. Manchado +3
Gaia Data Release 2 (DR2) was used to select a sample of 211 central stars of planetary nebulae (CSPNe) with good quality astrometric measurements, that we refer to as GAPN, Golden…
Manifestation of the Berry phase in the atomic nucleus Pb
J. J. Valiente-Dobón, A. Gottardo, G. Benzoni +57
The neutron-rich Pb isotope was produced in the fragmentation of a primary 1 GeV U beam, separated in FRS in mass and atomic number, and then implanted for isom…
Alzheimer's Dementia Detection from Audio and Text Modalities
Edward L. Campbell, Laura Docío-Fernández, Javier Jiménez Raboso +1
Automatic detection of Alzheimer's dementia by speech processing is enhanced when features of both the acoustic waveform and the content are extracted. Audio and text transcription…
Leveraging Energy Saving Capabilities of Current EEE Interfaces via Pre-Coalescing
Miguel Rodríguez Pérez, Sergio Herrería Alonso, Raúl F. Rodríguez Rubio +1
The low power idle mode implemented by Energy Efficient Ethernet (EEE) allows network interfaces to save up to 90% of their nominal energy consumption when idling. There is an ampl…
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations
Manuel Rey-Area, Emilio Guirado, Siham Tabik +1
It is widely known that very small datasets produce overfitting in Deep Neural Networks (DNNs), i.e., the network becomes highly biased to the data it has been trained on. This iss…