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    Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification 

    Albadan, Javier; Gaona, Paulo; Montenegro, Carlos; González-Crespo, Rubén (1); Herrera-Viedma, Enrique (Informática, 2018)
    Non-programmed decision-making is an activity that requires a number of methods to try to capture the rational behaviour of an aspirant in situations of uncertainty. Thus, there is a varied list of attributes, methods, and ...

    A clustering WSN routing protocol based on k-d tree algorithm 

    Anzola, John; Pascual, Jordán; Tarazona, Giovanny; González-Crespo, Rubén (1) (Sensors, 2018-09)
    Clustering in wireless sensor networks has been widely discussed in the literature as a strategy to reduce power consumption. However, aspects such as cluster formation and cluster head (CH) node assignment strategies have ...

    A recommender system based on implicit feedback for selective dissemination of ebooks 

    Núñez-Valdez, Edward Rolando; Quintana, David; González-Crespo, Rubén (1); Isasi, Pedro; Herrera-Viedma, Enrique (Information Sciences, 2018-10)
    In this study, we describe a recommendation system for electronic books. The approach is based on implicit feedback derived from user's interaction with electronic content. User's behavior is tracked through several ...

    Decentralized online simultaneous localization and mapping for multi-agent systems 

    Jimenez, Andres C.; García-Díaz, Vicente; González-Crespo, Rubén (1); Bolaños, Sandro (Sensors, 2018-08)
    Planning tasks performed by a robotic agent require previous access to a map of the environment and the position where the agent is located. This creates a problem when the agent is placed in a new environment. To solve ...

    Metamodel to support decision-making from open government data 

    Rodríguez Rojas, Luz Andrea; Cueva Lovelle, Juan Manuel; Tarazona Bermúdez, Giovanny Mauricio; Montenegro, Carlos Enrique; Giménez de Ory, Elena (1); González-Crespo, Rubén (1) (Journal of Ambient Intelligence and Humanized Computing, 2018-06)
    The use of public open data is an opportunity for citizens and businesses to create products that contribute to decision-making, monitor and control public institutions as well as to improve the quality of life. Open data ...

    Analysis of physico-chemical variables and their influence on water quality of the Bogota River using data mining 

    Rojas, Jairo; Forero, Julián; Gaona-García, Paulo Alonso; Montenegro Marin, Carlos Enrique; González-Crespo, Rubén (1) (International Journal of High Performance Systems Architecture, 2018)
    Variation of the flow rate and the concentration of different elements within a flow of water in a river must be important factors for the discovery of patterns of behaviour and predictive in terms of space and time models. ...

    Platform for controlling and getting data from network connected drones in indoor environments 

    Arenal Pereira, Adrián; Pascual-Espada, Jórdan; González-Crespo, Rubén (1); Rios-Aguilar, Sergio (1) (Future Generation Computer Systems, 2018-01)
    Nowadays drones can be used to complete a wide range of different tasks, like patrol, transportation and data collection. Many of these tasks are developed in indoor environments, like industrial premises, factories and ...

    Supporting academic decision making at higher educational institutions using machine learning-based algorithms 

    Nieto, Yuri; García-Díaz, Vicente; Montenegro, Carlos Enrique; González-Crespo, Rubén (1) (Soft Computing, 2018)
    Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...

    Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space 

    Restrepo Rodríguez, Andrés Ovidio; Casas Mateus, Daniel Esteban; Gaona-García, Paulo Alonso; Montenegro-Marín, Carlos; González-Crespo, Rubén (1) (Sysmmetry. Basel, 2018-12)
    Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation ...

    A personal knowledge management metamodel based on semantic analysis and social information 

    López-Quintero, J F; Cueva Lovelle, Juan Manuel; González-Crespo, Rubén (1); García-Díaz, Vicente (Soft Computing, 2018-03)
    This article describes the development of a functional architecture for personal knowledge management (PKM), defined from the lessons-learnt concept registered in a mass-use social network analyzed with an algorithm of ...
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