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A robust method to update local river inundation maps using global climate model output and weather typing based statistical downscaling
(Springer, 2020)
[Abstract:] Global warming is changing the magnitude and frequency of extreme precipitation events. This requires updating local rainfall intensity-duration-frequency (IDF) curves and flood hazard maps according to the ...
White matter microstructural changes are related to cognitive dysfunction in essential tremor
(Nature Research, 2017-06-07)
[Abstract]: Diffusion tensor imaging (DTI) studies have detected white matter microstructural changes in essential tremor (ET). However, it is still unclear whether these changes are related to cognitive deficits, which ...
Global Optimization for Automatic Model Points Selection in Life Insurance Portfolios
(MDPI AG, 2021-02-25)
[Abstract]
Starting from an original portfolio of life insurance policies, in this article we propose a methodology to select model points portfolios that reproduce the original one, preserving its market risk under a ...
Ethical and Legal Risks of Algorithmic and AI Tools Developed to Fight Against Trafficking in Cultural Property in the RITHMS Project
(Universidade da Coruña, Servizo de Publicacións, 2023)
[Abstract] Algorithmic technologies, big data and artificial intelligence have also disrupted the
legal field. AI tools used in police investigations and in the judicial process stand out. The tools
developed in the ...
How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis
(Springer, 2019)
[Abstract]: Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language ...
Assessment of the performance of drought indices for explaining crop yield variability at the national scale: Methodological framework and application to Mozambique
(Elsevier, 2020)
[Abstract:] Droughts are one of the most damaging and complex natural disasters in the world, and they frequently affect agricultural production. Drought monitoring is essential for decision-makers seeking to minimize the ...
A non-projective greedy dependency parser with bidirectional LSTMs
(Association for Computational Linguistics, 2017-08)
[Abstract]: The LyS-FASTPARSE team present BIST-COVINGTON, a neural implementation of the Covington (2001) algorithm for non-projective dependency parsing. The bidirectional LSTM approach by Kiperwasser and Goldberg (2016) ...
The Gaia mission
(EDP Sciences, 2016-11)
[Abstract]: Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was ...
Gaia Data Release 2: Summary of the contents and survey properties
(EDP Sciences, 2018-08)
[Abstract]: Context. We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources brighter than magnitude ...
Gaia Data Release 1: Summary of the astrometric, photometric, and survey properties
(EDP Sciences, 2016-11)
[Abstract]: Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7. Aims. A ...