BackBrowsing Artículos by Author "Núñez González, José David"
Now showing items 1-10 of 10
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A new heuristic for influence maximization in social networks
(Oxford University Press, 2016-08-04)Influence Maximization (IM) is defined as the problem of finding the minimal IM-seed set of nodes maximally influential in a network. IM solution is formulated in the context of an influence spread model describing how ... -
A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education
(Frontiers Media, 2021-11-02)[EN]Cyber-physical systems (CPSs) for special education rely on effective mental and brain processing during the lesson, performed with the assistance of humanoid robots. The improved diagnostic ability of the CPS is a ... -
Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning
(Nature, 2022-05)Traditional supervised learning algorithms do not satisfactorily solve the classification problem on imbalanced data sets, since they tend to assign the majority class, to the detriment of the minority class classification. ... -
Development of AI-Based Tools for Power Generation Prediction
(MDPI, 2023-11-16)This study presents a model for predicting photovoltaic power generation based on meteorological, temporal and geographical variables, without using irradiance values, which have traditionally posed challenges and difficulties ... -
Enhancing Confusion Entropy (CEN) for Binary and Multiclass Classification
(Universita Di Palermo, 2019-01-14)Different performance measures are used to assess the behaviour, and to carry out the comparison, of classifiers in Machine Learning. Many measures have been defined on the literature, and among them, a measure inspired ... -
Experiments of Trust Prediction in Social Networks by Artificial Neural Networks
(Taylor and Francis, 2015-03-24)Social network online services are growing at an exponential pace, both in quantity of users and diversity of services; thus, the evaluation of trust in the interaction among users and toward the system is a central issue ... -
Reputation features for trust prediction in social networks
(Elsevier, 2015-05-08)Trust prediction in Social Networks is required to solve the cold start problem, which consists of guessing a Trust value when the truster has no direct previous experience on the trustee. Trust prediction can be achieved ... -
Reviewing and Discussing Graph Reduction in Edge Computing Context
(MDPI, 2022-09-16)Much effort has been devoted to transferring efficiently different machine-learning algorithms, and especially deep neural networks, to edge devices in order to fulfill, among others, real-time, storage and energy-consumption ... -
Semantically enhanced network analysis for influencer identification in online social networks
(Elsevier, 2017-09-20)Influencers in a social network are members that have greater effect in the online social network (OSN) than the average member. In the specific social networks known as communities of practice, where the focus is an ... -
SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction
(MDPI, 2023-03-02)Application of deep neural networks (DNN) in edge computing has emerged as a consequence of the need of real time and distributed response of different devices in a large number of scenarios. To this end, shredding these ...