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pro vyhledávání: '"FREITAS, João"'
For the binary regression, the use of symmetrical link functions are not appropriate when we have evidence that the probability of success increases at a different rate than decreases. In these cases, the use of link functions based on the cumulative
Externí odkaz:
http://arxiv.org/abs/2407.14748
In many situations we are interested in modeling real data where the response distribution, even conditionally on the covariates, presents asymmetry and/or heavy/light tails. In these situations, it is more suitable to consider models based on the sk
Externí odkaz:
http://arxiv.org/abs/2406.03432
Autor:
Freitas, João Paulo de
Trata-se de um estudo transversal, de abordagem qualitativa e quantitativa que teve por objetivo avaliar os aspectos referentes à adesão irregular aos antirretrovirais por pessoas vivendo com HIV/aids. O estudo foi aprovado pelo Comitê de Ética d
Autor:
de Freitas, João M. L., Kuntz, Iberê
We describe a mechanism in which the graviton acquires a mass from the functional measure without violating the diffeomorphism symmetry nor including St\"uckelberg fields. Since gauge invariance is not violated, the number of degrees of freedom goes
Externí odkaz:
http://arxiv.org/abs/2307.13803
Learning invariant representations that remain useful for a downstream task is still a key challenge in machine learning. We investigate a set of related information funnels and bottleneck problems that claim to learn invariant representations from t
Externí odkaz:
http://arxiv.org/abs/2211.01446
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN), 2022
In this paper, we frame homogeneous-feature multi-task learning (MTL) as a hierarchical representation learning problem, with one task-agnostic and multiple task-specific latent representations. Drawing inspiration from the information bottleneck pri
Externí odkaz:
http://arxiv.org/abs/2205.15882
Autor:
Duque, Cristina, Mahinrad, Simin, Sedaghat, Sanaz, Higgins, James, Milstead, Andrew, Sargento-Freitas, João, Balabanov, Roumen, Cohen, Bruce, Sorond, Farzaneh A.
Publikováno v:
In Multiple Sclerosis and Related Disorders November 2024 91
Autor:
Freitas, João Carlos Dias de
A ciência forense moderna caminha lado a lado com a pesquisa científica. Os cientistas forenses se deparam diariamente com vários casos que requerem a análise de resíduos provenientes de disparos de arma de fogo (gunshot residues - GSR). Este tr
Estágio realizado no Centro de Nanotecnologia e Materiais Técnicos, Funcionais e Inteligentes
Tese de mestrado integrado. Engenharia Mecânica. Faculdade de Engenharia. Universidade do Porto. 2010
Tese de mestrado integrado. Engenharia Mecânica. Faculdade de Engenharia. Universidade do Porto. 2010
Externí odkaz:
http://hdl.handle.net/10216/71363