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Artículo
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Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
(Springer, 2023)
Sepsis is a life-threatening condition whose early recognition is key to improving outcomes for patients in intensive care units (ICUs). Artificial intelligence can play a crucial role in mining and exploiting health data ...
Ponencia
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A Comparison of Objective and Subjective Sleep Quality Measurement in a Group of Elderly Persons in a Home Environment
(SpringerLink, 2020)
The main aim of presented in this manuscript research is to compare the results of objective and subjective measurement of sleep quality for older adults (65+) in the home environment. A total amount of 73 nights was ...
Artículo
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ARTE: Automated Generation of Realistic Test Inputs for Web APIs
(IEEE Computer Society, 2022)
Automated test case generation for web APIs is a thriving research topic, where test cases are frequently derived from the API specification. However, this process is only partially automated since testers are usually ...
Artículo
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Unleashing Constraint Optimisation Problem solving in Big Data environments
(Elsevier, 2020)
The application of the optimisation problems in the daily decisions of companies is able to be used for finding the best management according to the necessities of the organisations. However, optimisation problems imply ...
Artículo
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Automated Validation of Compensable SLAs
(IEEE Computer Society, 2021)
A Service Level Agreement (SLA) regulates the provisioning of a service by defining a set of guarantees. Each guarantee sets a Service Level Objective (SLO) on some service metrics, and optionally a compensation that is ...
Artículo
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ELI: an IoT-aware big data pipeline with data curation and data quality
(PeerJ, 2023)
The complexity of analysing data from IoT sensors requires the use of Big Data technologies, posing challenges such as data curation and data quality assessment. Not facing both aspects potentially can lead to erroneous ...
Ponencia
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Automated Completion of Partial Configurations as a Diagnosis Task Using FastDiag to Improve Performance
(Springer, 2020)
The completion of partial configurations might represent an expensive computational task. Existing solutions, such as those which use modern constraint satisfaction solvers, perform a complete search, making them unsuitable ...
Ponencia
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Bluejay: A Cross-Tooling Audit Framework For Agile Software Teams
(IEEE Computer Society, 2021)
Agile software teams are expected to follow a number of specific Team Practices (TPs) during each iteration, such as estimating the effort ("points") required to complete user stories and coordinating the management of the ...
Artículo
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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 ...
Tesis Doctoral
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Novel efficient deep learning architectures for time series forecasting
(2023-02-03)
This thesis focuses on the study of time series prediction using the technique known as deep learning or neural networks. At the same time, a series of new methodological proposals are made, which improve the efficiency ...