Listar Lenguajes y Ciencias de la Computación  (LCC) por título
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Efficient anytime algorithms to solve the biobjective Next Release Problem
(20190627)The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while ... 
Efficient Hill Climber for Constrained PseudoBoolean Optimization Problems
(20160909)Efficient hill climbers have been recently proposed for single and multiobjective pseudoBoolean optimization problems. For $k$bounded pseudoBoolean functions where each variable appears in at most a constant number ... 
Efficient Hill Climber for MultiObjective PseudoBoolean Optimization
(20160406)Local search algorithms and iterated local search algorithms are a basic technique. Local search can be a standalone search method, but it can also be hybridized with evolutionary algorithms. Recently, it has been shown ... 
Efficient identification of improving moves in a ball for PseudoBoolean problems
(20140627)Hill climbing algorithms are at the core of many approaches to solve optimization problems. Such algorithms usually require the complete enumeration of a neighborhood of the current solution. In the case of problems defined ... 
Elastic Computing  a novel paradigm for distributed systems
(20160624)This talk, which is based on our newest findings and experiences from research and industrial projects, addresses one of the most relevant challenges for a decade to come: How to integrate the Internet of Things with ... 
Elementary landscape decomposition of the 01 unconstrained quadratic optimization
(20141001)Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ... 
Elementary landscape decomposition of the frequency assignment problem
(20140930)The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ... 
Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem
(20140404)There exist local search landscapes where the evaluation function is an eigenfunction of the graph Laplacian that corresponds to the neighborhood structure of the search space. Problems that dis play this structure are ... 
Elementary Landscape Decomposition of the Test Suite Minimization Problem
(20150907)Landscape theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of a special kind of landscape called elementary landscape. The decomposition of the ... 
Embryomorphic Engineering: Emergent innovation through evolutionary development
(20140107)Embryomorphic Engineering, a particular instance of Morphogenetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ... 
Emergent diversity in an openended evolving virtual community
(MIT Press, 2012)Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ... 
Empirical analysis of the tool support for software product lines
(Springer, 20220608)For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... 
Employing Classifying Terms for Testing Model Transformations
(20150729)This contribution proposes a new technique for developing test cases for UML and OCL models. The technique is based on an approach that automatically constructs object models for class models enriched by OCL constraints. ... 
Enabling Low Cost Smart Road Traffic Sensing
(Universitat Pompeu Fabra, 2017)Accurate traffic monitoring is a key aspect to develop Smart Mobility services. A road traffic monitoring system based on a network of sensors capturing together information from wireless interfaces of the devices inside ... 
Encoding generative adversarial networks for defense against image classification attacks
(2022)Image classification has undergone a revolution in recent years due to the high performance of new deep learning models. However, severe security issues may impact the performance of these systems. In particular, adversarial ... 
Energy efficient assignment and deployment of tasks in structurally variable infrastructures
(20191004)The importance of cyberphysical systems is growing very fast, being part of the Internet of Things vision. These devices generate data that could collapse the network and can not be assumed by the cloud. New technologies ... 
Energyefficient Deployment of IoT Applications in Edgebased Infrastructures: A Software Product Line Approach
(202109)In order to lower latency and reduce energy consumption, Edge Computing proposes offloading some computation intensive tasks usually performed in the Cloud onto nearby devices in the frontier/Edge of the access networks. ... 
Enhanced Perspective Generation by Consensus of NeX neural models
(202207)Neural rendering is a relatively new field of research that aims to produce high quality perspectives of a 3D scene from a reduced set of sample images. This is done with the help of deep artificial neural networks that ... 
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment
(2021)Skin cancer is one of the most prevalent diseases among people. Physicians have a challenge every time they have to determine whether a diseased skin is benign or malign. There exist clinical diagnosis methods (such as ... 
Enhancing Parallel Cooperative Trajectory Based Metaheuristics with Path Relinking
(20140708)This paper proposes a novel algorithm combining path relinking with a set of cooperating trajectory based parallel algorithms to yield a new metaheuristic of enhanced search features. Algorithms based on the exploration ...