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Found 8 papers, 0 papers with code
Cuánto es demasiada inflación? Una clasificación de regímenes inflacionarios
The classifications of inflationary regimes proposed in the literature have mostly been based on arbitrary characterizations, subject to value judgments by researchers.
Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football
We seek to gain more insight into the effect of the crowds on the Home Advantage by analyzing the particular case of Argentinean football (also known as soccer), where for more than ten years, the visiting team fans were not allowed to attend the games.
Evaluación del efecto del PAMI en la cobertura en salud de los adultos mayores en Argentina
We conducted regression discontinuity design models in order to evaluate changes in access to healthcare services and financial protection, using as a natural experiment the age required to retire in Argentina, the moment in which people are able to enroll in the free social health insurance called PAMI.
An Assessment Tool for Academic Research Managers in the Third World
Since the information of SCOPUS can be freely scraped from the Web, this approach allows to infer for free the Impact Factor of publications, the main index used in research assessments around the globe.
Home advantage and crowd attendance: Evidence from rugby during the Covid 19 pandemic
The COVID-19 pandemic forced almost all professional and amateur sports to be played without attending crowds.
A Graph-based Similarity Function for CBDT: Acquiring and Using New Information
One of the consequences of persistent technological change is that it force individuals to make decisions under extreme uncertainty.
Assessing the behavior and performance of a supervised term-weighting technique for topic-based retrieval
This article analyses and evaluates FDD\b{eta}, a supervised term-weighting scheme that can be applied for query-term selection in topic-based retrieval.
Detecting Ongoing Events Using Contextual Word and Sentence Embeddings
This paper introduces the Ongoing Event Detection (OED) task, which is a specific Event Detection task where the goal is to detect ongoing event mentions only, as opposed to historical, future, hypothetical, or other forms or events that are neither fresh nor current.
