S. Ribeiro

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As the world’s affairs get increasingly more digital, timely production and consumption of news require to efficiently and quickly exploit heterogeneous data sources. Discussions with journalists revealed that content management tools currently at their disposal fall very short of expectations. We demonstrate TATOOINE, a lightweight data integration(More)
This work describes the application of a powerful Recurrent Neural Network (RNN) approach, the Long Short Term Memory (LSTM) architecture proposed by Hochreiter and Schmidhuber, to a signal forecasting task in an environmental domain. More specifically, we have applied LSTM to the prediction of maximum ozone(O3) concentrations in the East Austrian region.(More)
This project focuses on optimizing the location of WEEE collection points for waste electrical and electronic equipment (WEEE) which consists of determining a set of locations to install a network of gathering equipment. It is implemented using open source technologies following the current tendency of the present software market situation. In particular,(More)
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