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Artículo
Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent
(Springer, 2021)
Time series forecasting of disaggregated freight flow is a key issue in decision-making by port authorities. For this purpose and to test new deep learning techniques we have selected seven time series of imported goods ...
Artículo
DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
(Elsevier, 2021)
Data centres constitute the engine of the Internet, and run a major portion of large web and mobile applications, content delivery and sharing platforms, and Cloud-computing business models. The high performance of such ...
Artículo
Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
(Elsevier, 2022)
Data centres increase their size and complexity due to the increasing amount of heterogeneous work loads and patterns to be served. Such a mix of various purpose workloads makes the optimisation of resource management ...
Artículo
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
(Elsevier, 2020)
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the 5-year survival rate of breast cancer is relatively high, recurrence is also common which often ...
Ponencia
Improvements In The Decision Making In Software Projects
(Escola Superior de Tecnologia de Setúbal, 2001)
The Simulators of Software Development Projects based on dynamic models have supposed a significant advance in front of the traditional techniques of estimate. These simulators enable to know the evolution of a project ...
Artículo
SLA-aware operational efficiency in AI-enabled service chains: challenges ahead
(Springer, 2022)
Service providers compose services in service chains that require deep integra tion of core operational information systems across organizations. Additionally, advanced analytics inform data-driven decision-making in ...
Ponencia
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation
(Springer, 2022)
Most of the current data sources generate large amounts of data over time. Renewable energy generation is one example of such data sources. Machine learning is often applied to forecast time series. Since data flows are ...
Artículo
Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images
(MDPI, 2021)
The morphology of nanoparticles governs their properties for a range of important applica tions. Thus, the ability to statistically correlate this key particle performance parameter is paramount in achieving accurate ...
Ponencia
On Mining DOM Trees to build Information Extractors
(2011)
The Web is the largest information repository. The information it contains is usually available in human-friendly formats. Companies are interested in using this information. The problem is that they need it in structured ...
Ponencia
Towards the smart use of embedding and instance features for property matching
(IEEE Computer Society, 2021)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...