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Articles
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[hal-04567587] Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach
3 mai, par ano.nymous@ccsd.cnrs.fr.invalid (Ali Ballout), Ali BalloutScoring candidate axioms or assessing their acceptability against known evidence is essential for automated schema induction and can also be valuable for knowledge graph validation. However, traditional methods for accurately scoring candidate axioms are often computationally and storage (...) -
[hal-03306856] Asymptotic analysis of abstract two-scale wave propagation problems
3 mai, par ano.nymous@ccsd.cnrs.fr.invalid (Sébastien Imperiale), Sébastien ImperialeThis work addresses the mathematical analysis, by means of asymptotic analysis, of linear wave propagation problems involving two scales, represented by a single small parameter, and written in an abstract setting. This abstract setting is defined using linear operators in Hilbert spaces and (...) -
[hal-03009308] A fully enzymatic method for site-directed spin labeling of long RNA
3 mai, par ano.nymous@ccsd.cnrs.fr.invalid (Isabelle Lebars), Isabelle LebarsSite-directed spin labeling is emerging as an essential tool to investigate the structural and dynamical features of RNA. We propose here an enzymatic method, which allows the insertion of a paramagnetic center at a specific position in an RNA molecule. The technique is based on a segmental (...) -
[hal-04567556] Outlier Detection in MET Data Using Subspace Outlier Detection Method
3 mai, par ano.nymous@ccsd.cnrs.fr.invalid (Dupuy Charles), Dupuy CharlesIn plant breeding, Multi-Environment Field Trials (MET) are commonly used to evaluate genotypes for multiple traits and to estimate their genetic breeding value using Genomic Prediction (GP). The occurrence of outliers in MET is common and is known to have a negative impact on the accuracy of (...) -
[hal-04567307] From Political Debates to Deliberative Democracy : A Roadmap to Assess Semi-Supervised Argument Mining with DISPUTool Anonymous
3 mai, par ano.nymous@ccsd.cnrs.fr.invalid (Cristian Cardellino), Cristian CardellinoArgument mining is a field in natural language processing that studies the automatic extraction of arguments and the classification of their structure from free text. This is a promising research area with numerous applications, like fact checking, qualitative assessments of online debates or (...)