Listar LCC - Artículos por título
Mostrando ítems 68-87 de 169
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Ensemble methods for meningitis aetiology diagnosis
(Wiley, 2022-03-18)In this work, we explore data-driven techniques for the fast and early diagnosis concerning the etiological origin of meningitis, more specifically with regard to differentiating between viral and bacterial meningitis. We ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
(Elsevier, 2023)Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package ... -
Estimación del estado de salud de la batería de iones de litio basada en características con redes neuronales artificiales
(Elsevier, 2022-06)Precise online lithium-ion battery state of health estimation is critical for the correct operation and management of battery-based energy storage systems such as microgrids and electric vehicles. However, in such applications ... -
Estimating Software Testing Complexity
(Science Direct, 2013-07-29)Context: Complexity measures provide us some information about software artifacts. A measure of the difficulty of testing a piece of code could be very useful to take control about the test phase. Objective: The aim in ... -
Evolution of form and function in a model of differentiated multicellular organisms with gene regulatory networks
(Elsevier, 2010)The emergence of novelties, as a generator of diversity, in the form and function of the organisms have long puzzled biologists. The study of the developmental process and the anatomical properties of an organism provides ... -
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 ...