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Hiperplasia Gengival e Envolvimento Cutâneo como Manifestações da Leucemia Miel...

Ramos, Patrícia; Oliveira, Ana Isabel; Nunes, Ana

  

Date: 2025   |   Origin: SPMI Case Reports

Novos dados sobre o Paleolítico médio na Meseta: Picões dos Grilos 4 (Figueira ...

Almeida, Miguel; Aubry, Thierry; Luís, Luís; Santos, André Tomás; Aires, Sílvia; Ramos, Patrícia; Silvestre, Marcelo


Olga Grande 14: Um regresso ao passado, mas com perspectivas de futuro

Aubry, Thierry; Almeida, Luís; Ramos, Patrícia; Luís, Luís; Aires, Sílvia; Silvestre, Marcelo


A ocupação do Vale do Côa pelo homem de Neandertal: o Sítio Arqueológico da Car...

Ramos, Patrícia; Aubry, Thierry; Monteiro-Rodrigues, Sérgio; Sanches, Maria de Jesus

The techno-typological characterization of the lithic industries from trenches H, Z, and N (18 m²) from the Cardina-Salto do Boi archaeological site, in the Côa River valley, combined with the study of the lithic resource management, made it possible to identify three Middle Palaeolithic occupations, dating from (1) ca. 155 ka BP to ca. 80 ka BP, (2) ca. 80 ka BP to 51 ka BP, and (3) 51 ka BP to 39 ka BP. It al...



Investigating theaccuracy of autoregressive recurrent networks using hierarchic...

Oliveira, José Manuel; Ramos, Patrícia

Global models have been developed to tackle the challenge of forecasting sets of series that are related or share similarities, but they have not been developed for heterogeneous datasets. Various methods of partitioning by relatedness have been introduced to enhance the similarities of sets, resulting in improved forecasting accuracy but often at the cost of a reduced sample size, which could be harmful. To sh...


Robust sales forecasting using deep learning with static and dynamic covariates

Ramos, Patrícia; Oliveira, José Manuel

: Retailers must have accurate sales forecasts to efficiently and effectively operate their businesses and remain competitive in the marketplace. Global forecasting models like RNNs can be a powerful tool for forecasting in retail settings, where multiple time series are often interrelated and influenced by a variety of external factors. By including covariates in a forecasting model, we can often better captur...


Asymmetric wealth effect between US stock markets and US housing market and eur...

Coelho, Pedro; Gomes, Luís; Ramos, Patrícia

Evidence of the asymmetric wealth effect has important implications for investors and continues to merit research attention, not least because much of the evidence based on linear models has been refuted. Indeed, stock and house prices are influenced by economic activity and react nonlinearly to positive/negative shocks. This problem justifies our research. The objective of this study is to examine evidence of ...


PO 116 - THIRTY-DAY MORBIMORTALITY OF PATIENTS ADMITTED IN AN ACADEMIC MEDICAL ...

´Rouxinol Dias, Ana Lídia; Rodrigues, Diana; Ferreira, Leonardo; Lima, Ana Patrícia; Ramos, Patrícia; Santos, Alice

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