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Mostrando ítems 51-60 de 189
Artículo
TANDEM: A Taxonomy and a Dataset of Real-World Performance Bugs
(IEEE Computer Society, 2020)
The detection of performance bugs, like those causing an unexpected execution time, has gained much attention in the last years due to their potential impact in safety-critical and resource-constrained applications. Much ...
Artículo
Towards the automatic and optimal selection of risk treatments for business processes using a constraint programming approach
(Elsevier, 2013)
Context: The use of Business Process Management Systems (BPMS) has emerged in the IT arena for the automation of business processes. In the majority of cases, the issue of security is overlooked by default in these systems, ...
Artículo
Run-time prediction of business process indicators using evolutionary decision rules
(Elsevier, 2017)
Predictive monitoring of business processes is a challenging topic of process mining which is concerned with the prediction of process indicators of running process instances. The main value of predictive monitoring is to ...
Artículo
Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over the next decades. Unconventional strategies for elucidating the genetic mechanisms are necessary ...
Artículo
Discovering gene association networks by multi-objective evolutionary quantitative association rules
(Elsevier, 2014)
In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the expression of thousands of genes simultaneously. The reconstruction of gene association networks ...
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An Experimental Replication on the Effect of the Practice of Mindfulness in Conceptual Modeling Performance
(Elsevier, 2018)
Context: Mindfulness is a meditation technique aimed to increase clearness of mind and awareness. In the 2013–2014 academic year, an experiment was carried out to test whether the practice of mindfulness during 4 weeks ...
Artículo
Pattern recognition to forecast seismic time series
(Elsevier, 2010)
Earthquakes arrive without previous warning and can destroy a whole city in a few seconds, causing numerous deaths and economical losses. Nowadays, a great effort is being made to develop techniques that forecast these ...
Artículo
Explaining deep learning models for ozone pollution prediction via embedded feature selection
(ScienceDirect, 2024)
Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is responsible for an estimated 1 to 1.2 million premature deaths yearly. Furthermore, O3 adversely affects ...
Artículo
A Methodology to Evaluate the Maintainability of Enterprise Application Integration Frameworks
(Inderscience Enterprises Ltd, 2015-12)
Consulting companies that specialise in Enterprise Application Integration commonly require adapting existing frameworks to specific domains. Currently, there are many such frameworks available, most of which provide a ...
Artículo
A bargaining-specific architecture for supporting automated service agreement negotiation systems
(Elsevier, 2012)
The provision of services is often regulated by means of agreements that must be negotiated beforehand. Automating such negotiations is appealing insofar as it overcomes one of the most often cited shortcomings of human ...