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Ponencia
Vision and Crowdsensing Technology for an Optimal Response in Security: Project results
(IEEE Computer Society, 2021)
This paper describes the progress and work carried out during the execution of the VICTORY project (Vision and Crowdsensing Technology for an Optimal Response in Security). It describes both its motivation and the ...
Ponencia
On the performance of deep learning models for time series classification in streaming
(Springer, 2020)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, ...
Ponencia
Evaluation of the transformer architecture for univariate time series forecasting
(Springer, 2021)
The attention-based Transformer architecture is earning in- creasing popularity for many machine learning tasks. In this study, we aim to explore the suitability of Transformers for time series forecasting, which is a ...