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Mostrando ítems 11-20 de 107
Artículo
Automatic verification and validation wizard in web-centred end-user software engineering
(Elsevier, 2017)
This paper addresses one of the major web end-user software engineering (WEUSE) challenges, namely, how to verify and validate software products built using a life cycle enacted by end-user programmers. Few end-user development ...
Artículo
A Survey on Energy Expenditure Estimation Using Wearable Devices
(ACM, 2020-09)
Human Energy Expenditure (EE) is a valuable tool for measuring physical activity and its impact on our body in an objective way. To accurately measure the EE, there are methods such as doubly labeled water and direct and ...
Artículo
ARIEX: Automated ranking of information extractors
(Elsevier, 2016)
Information extractors are used to transform the user-friendly information in a web document into structured information that can be used to feed a knowledge-based system. Researchers are interested in ranking them to ...
Artículo
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
(Elsevier, 2018)
Many algorithms have emerged to address the discovery of quantitative association rules from datasets in the last years. However, this task is becoming a challenge because the processing power of most existing techniques ...
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 ...
Artículo
Known by Who We Follow: A Biclustering Application to Community Detection
(IEEE Computer Society, 2020)
The detection of communities in social networks is a task with multiple applications both in research and in sectors such as marketing and politics among others. In this paper, we address the task of detecting on-line ...
Artículo
On learning context-aware rules to link RDF datasets
(Oxford University Press, 2020-09-15)
Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same ...
Artículo
Digital persona portrayal: Identifying pluridentity vulnerabilities in digital life
(Elsevier, 2020)
The increasing use of the Internet for social purposes enriches the data available online about all of us and promotes the concept of the Digital Persona. Actually, most of us are represented online by more than one identity, ...
Artículo
Discrete classification technique applied to TV advertisements liking recognition system based on low‑cost EEG headsets
(BioMed Central, 2016)
Background: In this paper a new approach is applied to the area of marketing research. The aim of this paper is to recognize how brain activity responds during the visualization of short video advertisements using discrete ...
Artículo
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
(Elsevier, 2018-03-01)
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural ...