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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
Assessment of C++ object-oriented mutation operators: A selective mutation approach
(Wiley, 2017)
Mutation testing is an effective but costly testing technique. Several studies have observed that some mutants can be redundant and therefore removed without affecting its effectiveness. Sim ilarly, some mutants may be ...
Artículo
MCFS: Min-cut-based feature-selection
(Elsevier, 2020)
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our ...
Artículo
Energy efficient adaptation engines for android applications
(Elsevier, 2020)
Context The energy consumption of mobile devices is increasing due to the improvement in their components (e.g., better processors, larger screens). Although the hardware consumes the energy, the software is responsible ...
Artículo
Energy-Efficient Indoor Localization WiFi-Fingerprint System: An Experimental Study
(IEEE Computer Society, 2019)
In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without implying a high impact on the user's normal behaviour. To achieve this goal, in this paper, a ...
Artículo
Replication of Studies in Empirical Software Engineering: A Systematic Mapping Study, From 2013 to 2018
(IEEE Computer Society, 2019)
Context: In any discipline, replications of empirical studies are necessary to consolidate the acquired knowledge. In Software Engineering, replications have been reported since the 1990s, although their number is still ...
Artículo
LEAPME: Learning-based Property Matching with Embeddings
(Cornell University, 2020)
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 ...