Listar LCC - Artículos por título
Mostrando ítems 73-92 de 169
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Evolutionary algorithms for the multi-objective test data generation problem
(2014-10-03)Automatic test data generation is a very popular domain in the field of search-based software engineering. Traditionally, the main goal has been to maximize coverage. However, other objectives can be defined, such as the ... -
Evolutionary development of tensegrity structures
(Elsevier, 2010)Contributions from the emerging fields of molecular genetics and evo-devo (evolutionary developmental biology) are greatly benefiting the field of evolutionary computation, initiating a promise of renewal in the traditional ... -
Evolver: Meta-optimizing multi-objective metaheuristics.
(Elsevier, 2023-10-10)Evolver is a tool based on the formulation of the automatic configuration and design of multi-objective metaheuristics as a multi-objective optimization problem that can be solved by using the same kind of algorithms; i.e., ... -
Exact computation of the expectation surfaces for uniform crossover along with bit-flip mutation
(2014-09-29)Uniform crossover and bit-flip mutation are two popular operators used in genetic algorithms to generate new solutions in an iteration of the algorithm when the solutions are represented by binary strings. We use the Walsh ... -
Explainable clinical coding with in-domain adapted transformers
(Elsevier, 2023)Background and Objective: Automatic clinical coding is a crucial task in the process of extracting relevant in-formation from unstructured medical documents contained in Electronic Health Records (EHR). However, most of ... -
Extending model checkers for hybrid system verification: the case study of SPIN.
(Willey, 2013-07-26)A hybrid system is a system that evolves following a continuous dynamic, which may instantaneously change when certain internal or external events occur. Due to this combination of discrete and continuous dynamics, the ... -
ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction.
(Elsevier, 2022-12-19)In software design, guaranteeing the correctness of run-time system behavior while achieving an acceptable balance among multiple quality attributes remains a challenging problem. Moreover, providing guarantees about the ... -
Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis
(Springer Nature, 2023-09-29)The verification of model transformations is important for realizing robust model-driven engineering technologies and quality-assured automation. Many approaches for checking properties of model transformations have been ... -
FIMED: Flexible management of biomedical data
(Elsevier, 2021-11)Background and objectives: In the last decade, clinical trial management systems have become an essential support tool for data management and analysis in clinical research. However, these clinical tools have design ... -
Fitness function distributions over generalized search neighborhoods in the q-ary hypercube
(2014-10-03)The frequency distribution of a fitness function over regions of its domain is an important quantity for understanding the behavior of algorithms that employ randomized sampling to search the function. In general, exactly ... -
Foreground detection by competitive learning for varying input distributions
(World Scientific Publishing, 2018)One of the most important challenges in computer vision applications is the background modeling, especially when the background is dynamic and the input distribution might not be stationary, i.e. the distribution of the ... -
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences
(2019-06-07)A robust foreground detection system is presented, which is resilient to noise in video sequences. The proposed model divides each video frame in patches that are fed to a stacked denoising autoencoder, which is responsible ... -
Fotogrametría y modelado 3D: un caso práctico para la difusión del patrimonio y su promoción turística
(Facultad de Turismo, 2012) -
Fractal structure of the soliton scattering for the graphene superlattice equation
(Elsevier, 2021-10)The graphene superlattice equation, a modified sine-Gordon equation, governs the propagation of solitary electromagnetic waves in a graphene superlattice. This equation has kink solutions without explicit analytical ... -
Functions as a service for distributed deep neural network inference over the cloud-to-things continuum
(Wiley, 2024-02-11)The use of serverless computing has been gaining popularity in recent years as an alternative to traditional Cloud computing. We explore the usability and potential development benefits of three popular open-source serverless ... -
GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks
(Elsevier, 2023)Gene regulatory networks define the interactions between DNA products and other substances in cells. Increasing knowledge of these networks improves the level of detail with which the processes that trigger different ... -
Graph grammars with string-regulated rewriting
(Elsevier, 2011)Multicellular organisms undergo a complex developmental process, orchestrated by the genetic information in their cells, in order to form a newborn individual from a fertilized egg. This complex process, not completely ... -
How do preschoolers interact with peers? Characterising child and group behaviour in games with tangible interfaces in school
(Elsevier, 2022-09)Learning social skills is an important part of the socialisation process of children, which should occur at school, at home and in any place where children live. There are very few studies on social interaction and ... -
Improved detection of small objects in road network sequences using CNN and super resolution
(2021)The detection of small objects is one of the problems present in deep learning due to the context of the scene or the low number of pixels of the objects to be detected. According to these problems, current pre-trained ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach.
(Elsevier, 2021-05-15)In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ...