Filipe R. Ramos

FCUL - Faculdade de Ciências Universidade de Lisboa · DEIO

Brands are striving for attention and seeking to attract the right customer, therefore online advertisements have become their big new showroom. Generally, advertisements combine colored imagery and strong movements to encourage and capture the consumer’s attention. However, research shows that people may react differently to similar stimuli depend...

Malfunctions in a service context are common due to the unique difficulty to standardize services and its dependence on the actions of both providers and customers (Balaji et al., 2017; Ndubisi, 2012). Service failures may violate consumer trust and generate some undesirable consumer reactions, such as negative word-of-mouth and acts of revenge...

The articulation of statistics, mathematical and computational techniques for modelling and forecasting of time series can help in the decision-making process. When dealing with the intrinsic challenges for financial time series, Machine Learning methodologies, in particular Deep Learning, was pointed out as being a promising option. Previous works...

In a year where the word “forecast" has been extensively used, it's more important than ever to have accurate forecasting models. In particular, in economics, finance and business areas; forecasting techniques are used to support enterprises to decide future directions, which determine the success of the same enterprises. However, in order for the...

Palavras-chave: deep neural networks, LSTM, previsão, séries temporais Resumo: A articulação de técnicas estatísticas, matemáticas e computacionais, na modelação e previsão de séries temporais, manifesta-se num claro suporte de apoiò a tomada de decisão. Especificamente para séries temporais económico-financeiras, como as relativas aos mercados f...

The articulation of statistical, mathematical and computational techniques/tools, in the process of analysis, modelling and forecasting time series, manifests clear support for decision making. The constant challenge in the quest for the most accurate results possible has led researchers not only to improve the existing techniques, but also to inve...

Resumo: A literatura sobre a influência da cor e da tipografia tem revelado alguma contradição e nem sempre é objeto de reflexão na área editorial. Esta pesquisa tem como principal objetivo contribuir para a perceção relativa à cor e tipografia em capa de livro. Foram analisadas as emoções (positivas e negativas), atratividade e intenção de compra,...

In this article, we propose the use of recurrent neural networks based on long short-term memory (LSTM) architecture in order to forecast financial time series. Artificial neural networks have proven to be efficient in forecasting financial time series. In particular, recurrent neural networks have been able to store past inputs to produce the curr...

This work studies the disparities found in higher education institutions across Portugal - in terms of geographical location, being polytechnics institutes or universities, and operating in the private or public sector - in relation to their offering of 1st, 2nd and 3rd cycle study programmes and scientific areas. Bearing in mind that, on the one h...

In Portugal, the Agency for Assessment and Accreditation of Higher Education-A3ES-promotes and ensures the quality of higher education, following the development of quality management systems in the European space. Thus, their mission is to contribute to improve the quality of Portuguese higher education, through the assessment and accreditation of...

The rising interest in the Tourism Industry and its economic impact is well documented in the increasing number of publications in news and scientific literature. In Portugal, the overall importance of the sector in the economy has driven several researchers to try and understand better tourism mechanisms and dynamics. Throughout the period of econ...

The struggling on identifying strategies and factors that could help to improve the teaching/learning process, regarding the existence of multiple realities, is a subject much discussed in literature. Finding new ways of answer challenges which we came across, is the main reason why this study has been made. The primary goal is centred in applying...

Parte substancial da obra de Escher é dedicada ao estudo do Plano Euclidiano, nomeadamente numa perspetiva de o pavimentar. É sobre este tópico da obra de Escher que incide o presente trabalho o qual pode ser encardao como um ‘tributo’ a Escher e à sua arte. À semelhança de muitos outros já existentes na literatura, este trabalho retrata a harmonia...

The main purpose of this paper it is to show that machine learning methods (neural networks and k-nearest neighbours) can be used to uncover the non-linearity that exists in financial time series and provide high quality forecast. First, we analyse the linearity (BDS test) and stationarity (ADF, PP unit rot test) of the Portuguese stock market inde...

The difficulty to identify factors and strategies that might contribute to a significant improve in the teaching/learning process, given the existent multiple realities, literature states that different teaching methodologies may produce distinct results in the students learning process. Circumstances such as facing the school as a nonstandard real...

Given the development of an econometric modeling study, the main objective of this work consists in the comparative analysis of results obtained in the estimation of a cointegrated vector autoregressive model and its cointegration rank, from the point of view of the assumptions of the classical (VAR) and Bayesian (BVAR) approaches. For this purpose...