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Early classification of time series by simultaneously optimizing the accuracy and earliness
(IEEE Transactions on Neural Networks and Learning Systems, 201710)The problem of early classi cation of time series appears naturally in contexts where the data, of temporal nature, is collected over time, and early class predictions are interesting or even required. The objective is to ... 
Early classification of time series using multiobjective optimization techniques
(Information Sciences, 20190423)In early classification of time series the objective is to build models which are able to make classpredictions for time series as accurately and as early as possible, when only a part of the series is available. It is ... 
Editors' preface for the topical issue "Advances in Numerical Analysis and Numerical Linear Algebra"
(Central European Journal of Mathematics, 20121231)[No abstract available] 
Editors' preface for the topical issue "Numerical Methods for LargeScale Scientific Computing, I"
(Central European Journal of Mathematics, 20131231)[No abstract available] 
Editors' preface for the topical issue "Numerical Methods for LargeScale Scientific Computing, II"
(Central European Journal of Mathematics, 20131231)[No abstract available] 
Effect of Tissue Elasticity in Cardiac Radiofrequency Catheter Ablation Models
(2018)Radiofrequency catheter ablation (RFCA) is an effective treatment for different types of cardiac arrhythmias. However, major complications can occur, including thrombus formation and steam pops. We present a full 3D ... 
Effect of trampling and digging from shell shing on Zostera noltei (Zosteraceae) intertidal seagrass beds
(Scientia Marina, 201703)Seagrass beds are among the most valuable ecosystems in the world but they are also among the ones most affected by human activities, and they have decreased significantly in recent decades. In many areas, such as in the ... 
Effect of various dietary regimens on oral challenge with Mycobacterium avium subsp. paratuberculosis in a rabbit model
(Research in Veterinary Science, 20151231)Rabbits are susceptible to infection by Mycobacterium avium subspecies paratuberculosis (MAP) in both wildlife and experimental conditions. Under the hypotheses that nutrient balance might influence the establishment of ... 
Effective selfsimilar expansion for the GrossPitaevskii equation
(Physical Review A, 201804)We consider an effective scaling approach for the free expansion of a onedimensional quantum wave packet, consisting in a selfsimilar evolution to be satisfied on average, i.e., by integrating over the coordinates. A ... 
Effects of parameterization and knot placement techniques on primal and mixed isogeometric collocation formulations of spatial sheardeformable beams with varying curvature and torsion
(Computers & Mathematics with Applications, 202006)We present a displacementbased and a mixed isogeometric collocation (IGAC) formulation for freeform, threedimensional, sheardeformable beams with high and rapidlyvarying curvature and torsion. When such complex shapes ... 
Effects of reducing VMs management times on elastic applications
(Journal of Grid Computing, 201805)Cloud infrastructures provide computing resources to applications in the form of Virtual Machines (VMs). Many applications deployed in cloud resources have an elastic behavior, that is, they change the number of servers ... 
Efficiency of simulation in monotone hyperstable queueing networks
(Queueing Systems, 20141231)We consider Jackson queueing networks with finite buffer constraints (JQN) and analyze the efficiency of sampling from their stationary distribution. In the context of exact sampling, the monotonicity structure of JQNs ... 
Efficient approximation of probability distributions with korder decomposable models
(International Journal of Approximate Reasoning, 20160101)During the last decades several learning algorithms have been proposed to learn probability distributions based on decomposable models. Some of these algorithms can be used to search for a maximum likelihood decomposable ... 
Efficient approximation of probability distributions with korder decomposable models
(International Journal of Approximate Reasoning, 201607)During the last decades several learning algorithms have been proposed to learn probability distributions based on decomposable models. Some of these algorithms can be used to search for a maximum likelihood decomposable ... 
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 ... 
An efficient Kmeans clustering algorithm for tall data
(DATA MINING AND KNOWLEDGE DISCOVERY, 2020)The analysis of continously larger datasets is a task of major importance in a wide variety of scientific fields. Therefore, the development of efficient and parallel algorithms to perform such an analysis is a a crucial ... 
Efficient mass and stiffness matrix assembly via weighted Gaussian quadrature rules for Bsplines
(Journal of Computational and Applied Mathematics, 20191214)Calabr{\`o} et al. [10] changed the paradigm of the mass and stiffness computation from the traditional elementwise assembly to a rowwise concept, showing that the latter one offers integration that may be orders of ... 
An efficient multigrid strategy for largescale molecular mechanics optimization
(Journal of Computational Physics, 20170801)Static mechanical properties of materials require largescale nonlinear optimization of the molecular mechanics model under various controls. This paper presents an efficient multigrid strategy to solve such problems. This ...