Browsing Data Science (DS) by Title
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An efficient approximation to the Kmeans clustering for Massive Data
(KnowledgeBased Systems, 20160628)Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ... 
An efficient approximation to the Kmeans clustering for Massive Data
(KnowledgeBased Systems, 20170201)Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ... 
An efficient evolutionary algorithm for the orienteering problem
(Computers and Operations Research, 20170906)This paper deals with the Orienteering Problem, which is a routing problem. In the Orienteering Problem, each node has a profit assigned and the goal is to find the route that maximizes the total collected profit subject ... 
Energyaware capacity scaling in virtualized environments with performance guarantees
(Performance Evaluation, 20111231)We investigate the tradeoff between performance and power consumption in servers hosting virtual machines running IT services. The performance behavior of such servers is modeled through Generalized Processor Sharing (GPS) ... 
Ergodic transition in a simple model of the continuous double auction
(PLoS ONE, 20141231)We study a phenomenological model for the continuous double auction, whose aggregate order process is equivalent to two independent M/M/1 queues. The continuous double auction defines a continuoustime random walk for trade ... 
Estimating attraction basin sizes
(Lecture Notes in Computer Science, 20161001)The performance of local search algorithms is influenced by the properties that the neighborhood imposes on the search space. Among these properties, the number of local optima has been traditionally considered as a ... 
Evolutionary algorithms to optimize lowthrust trajectory design in spacecraft orbital precession mission
(IEEE Congress on Evolutionary Computation, 20170606)In space environment, perturbations make the spacecraft lose its predefined orbit in space. One of these undesirable changes is the inplane rotation of space orbit, denominated as orbital precession. To overcome this ... 
An exact goodnessoffit test based on the occupancy problems to study zeroinflation and zerodeflation in biological dosimetry data
(Radiation Protection Dosimetry, 20180112)The goal in biological dosimetry is to estimate the dose of radiation that a suspected irradiated individual has received. For that, the analysis of aberrations (most commonly dicentric chromosome aberrations) in scored ... 
Fast algorithm for smoothing parameter selection in multidimensional Psplines
(Statistics and Computing, 20151231)A new computational algorithm for estimating the smoothing parameters of a multidimensional penalized spline generalized model with anisotropic penalty is presented. This new proposal is based on the mixed model representation ... 
Fast estimation of multidimensional adaptive Pspline models
(20161021)A fast and stable algorithm for estimating multidimensional adaptive Pspline models is presented. We call it as Separation of Overlapping Penalties (SOP) as it is an extension of the Separation of Anisotropic Penalties ... 
Fast smoothing parameter separation in multidimensional generalized Psplines: the SAP algorithm
(Statistics and Computing, 20141231)A new computational algorithm for estimating the smoothing parameters of a multidimensional penalized spline generalized linear model with anisotropic penalty is presented. This new proposal is based on the mixed model ... 
Fitting the data from embryo implantation prediction: Learning from label proportions
(Statistical Methods in Medical Research, 20160101)Machine learning techniques have been previously used to assist clinicians to select embryos for humanassisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve ... 
Flexible geostatistical modeling and risk assessment analysis of lead concentration levels of residential soil in the Coeur D'Alene River Basin
(Environmental and Ecological Statistics, 20151231)Soil heavy metals pollution is an urgent problem worldwide. Understanding the spatial distribution of pollutants is critical for environmental management and decisionmaking. Children and adults are still routinely exposed ... 
Generalized Nash equilibria for SaaS/PaaS Clouds
(European Journal of Operational Research, 20141231)Cloud computing is an emerging technology that allows to access computing resources on a payperuse basis. The main challenges in this area are the efficient performance management and the energy costs minimization. In ... 
Generalized restless bandits and the knapsack problem for perishable inventories
(Operations Research, 20141231)In this paper we introduce the knapsack problem for perishable inventories concerning the optimal dynamic allocation of a collection of products to a limited knapsack. The motivation for designing such a problem comes from ... 
Heavytraffic analysis of a multiplephase network with discriminatory processor sharing
(Operations Research, 20111231)We analyze a generalization of the discriminatory processorsharing (DPS) queue in a heavytraffic setting. Customers present in the system are served simultaneously at rates controlled by a vector of weights. We assume ... 
Heavytraffic analysis of the M/PH/1 Discriminatory Processor Sharing queue with phasedependent weights
(Performance Evaluation Review, 20091231)We analyze a generalization of the Discriminatory Processor Sharing (DPS) queue in a heavytraffic setting. Customers present in the system are served simultaneously at rates controlled by a vector of weights. We assume ... 
Heavytraffic revenue maximization in parallel multiclass queues
(Performance Evaluation, 20131231)Motivated by revenue maximization in server farms with admission control, we investigate the optimal scheduling in parallel processorsharing queues. Incoming customers are distinguished in multiple classes and we define ... 
Hierarchical modelling of patientreported outcomes data based on the betabinomial distribution
(20171213)The betabinomial distribution does not belong to the exponential family and, hence classical regression techniques cannot be used when dealing with outcomes following the mentioned distribution. In this thesis we propose ... 
Hybridizing Cartesian Genetic Programming and Harmony Search for Adaptive Feature Construction in Supervised Learning Problems
(Applied Soft Computing, 20170228)The advent of the socalled Big Data paradigm has motivated a flurry of research aimed at enhancing machine learning models by following very di verse approaches. In this context this work focuses on the automatic con ...