Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 101-120 de 338
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Detection of tumor morphology mentions in clinical reports in spanish using transformers
(Springer, 2021)The aim of this study is to systematically examine the performance of transformer-based models for the detection of tumor morphology mentions in clinical documents in Spanish. For this purpose, we analyzed 3 transformer ... -
Dos estrategias de búsqueda anytime basadas en programación lineal entera para resolver el problema de selección de requisitos
(2016-09-19)El problema de selección de requisitos (o Next Release Problem, NRP) consiste en seleccionar el subconjunto de requisitos que se va a desarrollar en la siguiente versión de una aplicación software. Esta selección se debe ... -
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
(2016-09-15)Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines ... -
Dynamically programmable virtual profiles as a service
(2019-06-17)Many devices in our daily environments are being connected to the network, building what has been called the Web of Things. Although these things offer a web interface to interact with, this interaction must be performed ... -
Dynastic potential crossover operator
(2019-10-28)An optimal recombination operator provides an optimal solution fulfilling the gene transmission property: the value of any variable in the offspring must be inherited from one of the parents. In the case of binary variables, ... -
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems
(2016-09-09)Efficient hill climbers have been recently proposed for single- and multi-objective pseudo-Boolean optimization problems. For $k$-bounded pseudo-Boolean functions where each variable appears in at most a constant number ... -
Efficient identification of improving moves in a ball for Pseudo-Boolean problems
(2014-06-27)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 ... -
Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem
(2014-04-04)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
(2015-09-07)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 ... -
Elimination of constraints for parallel analysis of feature models.
(2023)Cross-tree constraints give feature models maximal expressive power since any interdependency between features can be captured through arbitrary propositional logic formulas. However, the existence of these constraints ... -
Employing Classifying Terms for Testing Model Transformations
(2015-07-29)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
(2019-10-04)The importance of cyber-physical 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 ... -
Energy-efficient Deployment of IoT Applications in Edge-based Infrastructures: A Software Product Line Approach
(2021-09)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
(2022-07)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
(2014-07-08)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 ... -
Enhancing partition crossover with articulation points analysis
(2018-07-25)Partition Crossover is a recombination operator for pseudo-Boolean optimization with the ability to explore an exponential number of solutions in linear or square time. It decomposes the objective function as a sum of ... -
Enhancing security and dependability of industrial networks with opinion dynamics
(2019-10-04)Opinion Dynamics poses a novel technique to accurately locate the patterns of an advanced attack against an industrial infrastructure, compared to traditional intrusion detection systems. This distributed solution provides ...