Zobrazeno 1 - 10
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pro vyhledávání: '"Bação, P."'
Publikováno v:
Notas Económicas, Iss 58 (2024)
Economic and political phenomena coexist in society, but are often seen as divergent spheres of human action and interaction. A theoretical manifestation of this separation is the assumption that while economic agents act in their own self-interest,
Externí odkaz:
https://doaj.org/article/db242ece39e54b4ca456765e79246230
Autor:
Fonseca, Joao, Bacao, Fernando
In the Machine Learning research community, there is a consensus regarding the relationship between model complexity and the required amount of data and computation power. In real world applications, these computational requirements are not always av
Externí odkaz:
http://arxiv.org/abs/2207.08817
Fraud in public funding can have deleterious consequences for the economic, social, and political well-being of societies. Fraudulent activity associated with public procurement contracts accounts for losses of billions of euros every year. Thus, it
Externí odkaz:
http://arxiv.org/abs/2104.08547
Publikováno v:
Array, Vol 21, Iss , Pp 100334- (2024)
Knowledge Graphs are a tool to structure (entity, relation, entity) triples. One possible way to construct these knowledge graphs is by extracting triples from unstructured text. The aim when doing this is to maximise the number of useful triples whi
Externí odkaz:
https://doaj.org/article/ac4cc6ef1f134b39afae9d52fc458629
Autor:
Pedro Bação, José Diogo Silva
Publikováno v:
Notas Económicas, Iss 57 (2024)
This study delves into the dynamics of inflation in Portugal, employing a cost-push model as the analytical framework. The model is estimated using data from 2000Q2 to 2020Q1, a period predating the onset of the COVID-19 pandemic and the surge in inf
Externí odkaz:
https://doaj.org/article/b3736e7e20944bff8da98b66eba9c118
Akademický článek
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Akademický článek
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Publikováno v:
Information Sciences 465 (2018) 1-20
Learning from class-imbalanced data continues to be a common and challenging problem in supervised learning as standard classification algorithms are designed to handle balanced class distributions. While different strategies exist to tackle this pro
Externí odkaz:
http://arxiv.org/abs/1711.00837
Autor:
Douzas, Georgios, Bacao, Fernando
Classification of imbalanced datasets is a challenging task for standard algorithms. Although many methods exist to address this problem in different ways, generating artificial data for the minority class is a more general approach compared to algor
Externí odkaz:
http://arxiv.org/abs/1709.07377
Publikováno v:
In Labour Economics January 2022 74