Who\'s Who in Patents. A Bayesian approach [PDF]
This paper proposes a bayesian methodology to treat the who’s who problem arising in individual level data sets such as patent data. We assess the usefullness of this methodology on the set of all French inventors appearing on EPO applications from 1978 ...
Lorenzo CASSI (CES, Université Paris 1 Panthéon Sorbonne - CNRS) +1 more
core
DIFFICULTIES IN DISTINGUISHING POLYSEMY AND HOMONYMY IN THE OSSETIAN LANGUAGE
Background. The content side of a lexical unit is central and most significant in the analysis of structural-semantic connections of words and their classification taking into account the identified features.
Larisa B. Morgoeva
doaj +1 more source
Paying it forward: Crowdsourcing the harmonisation and linking of taxon names and biodiversity identifiers. [PDF]
Seah BKB.
europepmc +1 more source
BELB: a biomedical entity linking benchmark. [PDF]
Garda S +3 more
europepmc +1 more source
TriNymAuth: Triple Pseudonym Authentication Scheme for VANETs Based on Cuckoo Filter and Paillier Homomorphic Encryption. [PDF]
Zhuang L, Guo N, Chen Y.
europepmc +1 more source
Homonymous hemianopia (HH) is a visual field defect involving either two right or the two left halves of the visual field of both eye. It results from the damage of the visual pathway in its suprachiasmatic part. The causes of HH include stroke, brain tumors, head injuries, neurosurgical procedures, multiple sclerosis and miscellaneous conditions.
Iwona, Obuchowska, Zofia, Mariak
openaire +1 more source
Replacement names for junior homonyms in ants (Hymenoptera, Formicidae). [PDF]
Fisher BL.
europepmc +1 more source
When was randomisation first used in educational research? A brief historical methodological perspective. [PDF]
Torgerson C.
europepmc +1 more source
Cytometric and genetic analysis of Slovenian local apple genotypes. [PDF]
Gostinčar K +3 more
europepmc +1 more source
A critical analysis of the What3Words geocoding algorithm. [PDF]
Arthur R.
europepmc +1 more source

