Reports de recerca
Recent Submissions
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End-to-End speech translation with pre-trained models and adapters: UPC at IWSLT 2021
(2021-06-28)
External research report
Open AccessThis paper describes the submission to the IWSLT 2021 offline speech translation task by the UPC Machine Translation group. The task consists of building a system capable of translating English audio recordings extracted ... -
Enquesta sobre la situació del col·lectiu del professorat associat a la Universitat Politècnica de Catalunya
(2021-03-15)
External research report
Open AccessLa utilització de la figura del professorat associat per part de les universitats públiques a Catalunya en molts casos està lluny de l’esperit d’aquesta figura en la legislació (especialista de reconeguda competència i amb ... -
Nowcasting and forecasting GDP growth with machine-learning sentiment indicators
(2021-02-17)
External research report
Open AccessWe apply the two-step machine-learning method proposed by Claveria et al. (2021) to generate country-specific sentiment indicators that provide estimates of year-on-year GDP growth rates. In the first step, by means of ... -
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
(2019-03-19)
External research report
Open AccessGliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic ... -
The UPC speaker verification system submitted to VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20)
(2020-10-27)
External research report
Open AccessThis report describes the submission from Technical University of Catalonia (UPC) to the VoxCeleb Speaker Recognition Challenge (VoxSRC-20) at Interspeech 2020. The final submission is a combination of three systems. ... -
Spectral analysis of business and consumer survey data
(2020-07-08)
External research report
Open AccessThe main objective of this study is two-fold. First, we aim to detect the underlying existing periodicities in business and consumer survey data. With this objective, we conduct a spectral analysis of all survey indicators. ... -
Economic determinants of employment sentiment: a socio-demographic analysis for the euro area
(2020-07-07)
External research report
Open AccessIn this study we construct quarterly consumer confidence indicators of unemployment for the euro area using as input the consumer expectations for sixteen socio-demographic groups elicited from the Joint Harmonised EU ... -
A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics
(2018-07-03)
External research report
Open AccessIn this work we assess the role of data characteristics in the accuracy of machine learning (ML) tourism forecasts from a spatial perspective. First, we apply a seasonal-trend decomposition procedure based on non-parametric ... -
A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations
(2018-07-10)
External research report
Open AccessIn this study we present a geometric approach to proxy economic uncertainty. We design a positional indicator of disagreement among survey-based agents' expectations about the state of the economy. Previous dispersion-based ... -
Let the data do the talking: empirical modelling of survey-based expectations by means of genetic programming
(2017-07-05)
External research report
Open AccessIn this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ... -
Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”
(2017-07-06)
External research report
Open AccessThis study presents a multiple-input multiple-output (MIMO) approach for multi-step-ahead time series prediction with a Gaussian process regression (GPR) model. We assess the forecasting performance of the GPR model with ... -
Effects of removing the trend and the seasonal component on the forecasting performance of artificial neural network techniques
(2015-07-02)
External research report
Open AccessThis study aims to analyze the effects of data pre-processing on the performance of forecasting based on neural network models. We use three different Artificial Neural Networks techniques to forecast tourist demand: a ...
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