Listar ITIS - Artículos por título
Mostrando ítems 49-68 de 144
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Engineering software for next-generation networks in a sustainable way.
Fuentes-Fernández, Lidia
(2024)
The virtualization and softwarization of network functions is the networking industry's latest achievement. Software-Defined Networks (SDN) and Network Function Virtualization (NFV) propose novel software architectures and ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (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 ... -
Evolver: Meta-optimizing multi-objective metaheuristics.
Aldana Martín, José Francisco; Durillo, Juan J.; Nebro-Urbaneja, Antonio Jesús (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 and heuristic approaches for multi-objective garbage accumulation points location in real scenarios.
Rossit, Diego Gabriel; Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio (Elsevier, 2020-03-15)
Municipal solid waste management is a major challenge for nowadays urban societies, because it accounts for a large proportion of public budget and, when mishandled, it can lead to environmental and social problems. This ... -
Exploring the interaction of design variability and stochastic operational uncertainties in software-intensive systems through the lens of modeling
Cámara-Moreno, Javier (Springer, 2024)
In software-intensive systems, navigating the complexities that emerge from the interaction of design variability and stochastic operational uncertainties presents a daunting challenge. This paper delves into the dynamics ... -
Expressing Confidence in Models and in Model Transformation Elements.
Burgueño-Caballero, Lola; Bertoa, Manuel F.; Moreno, Nathalie; Vallecillo-Moreno, Antonio Jesús (2018-10-14)
The expression and management of uncertainty, both in the information and in the operations that manipulate it, is a critical issue in those systems that work with physical environments. Measurement uncertainty can be due ... -
Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions
Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2019-11)
The goal in Robust Optimization is to optimize not only the quality of the solutions but also the variation of this quality with the uncertain parameters of the optimization problem. We propose a robust model for the ... -
Fast and Accurate Incremental Feedback for Students’ Software Tests Using Selective Mutation Analysis.
Kazerouni, Ayaan M.; Davis, James C.; Basak, Arinjoy; Shaffer, Clifford A.; Servant-Cortés, Francisco Javier; Edwards, Stephen H.[et al.] (Elsevier, 2021)
As incorporating software testing into programming assignments becomes routine, educators have begun to assess not only the correctness of students’ software, but also the adequacy of their tests. In practice, educators ... -
Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary.
Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (2012-04-27)
This work tackles the problem of reducing the power consumption of the OLSR routing protocol in vehicular networks. Nowadays, energy-aware and green communication protocols are important research topics, specially when ... -
Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis
Oakes, Bentley James; Troya-Castilla, Javier; Galasso, Jessie; Wimmer, Manuel (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 ... -
Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2024)
Feature selection in small-sample high-dimensional datasets enhances classification accuracy and reduces computational time for model training. This paper introduces the filter Classification Error Impurity (CEI) as a ... -
FIMED: Flexible management of biomedical data
Hurtado-Requena, Sandro José; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (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 ... -
FLEXTORY: Flexible Software Factory of IoT Data Consumers.
López Gómez, Rafael; Panizo-Jaime, Laura; Gallardo-Melgarejo, María del Mar (MDPI, 2024-04-16)
The success of the Internet of Things (IoT) has driven the development, among others, of many different software architectures for producing, processing, and analyzing heterogeneous data. In many cases, IoT applications ... -
FM fact label
Horcas-Aguilera, José Miguel; Galindo-Gómez, José; Fuentes-Fernández, Lidia; Benavides, David (Elsevier, 2024)
FM Fact Label is a tool for visualizing the characterizations of feature models based on their metadata, structural measures, and analytical metrics. Although there are various metrics available to characterize feature ... -
Functions as a service for distributed deep neural network inference over the cloud-to-things continuum
Bueno Calvente, Altair; Rubio-Muñoz, Bartolomé; Martín-Fernández, Cristian; Díaz-Rodríguez, Manuel (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 ... -
GEML: A Grammar-based Evolutionary Machine Learning Approach for Design-Pattern Detection.
Barbudo Lunar, Rafael; Ramírez-Quesada, Aurora; Servant-Cortés, Francisco Javier; Romero-Salguero, José Raúl (Elsevier, 2021)
Design patterns (DPs) are recognised as a good practice in software development. However, the lack of appropriate documentation often hampers traceability, and their benefits are blurred among thousands of lines of code. ... -
GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks
Segura Ortiz, Adrián; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (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 ... -
HybridCISave: A Combined Build and Test Selection Approach in Continuous Integration.
Jin, Xianhao; Servant-Cortés, Francisco Javier (Association for Computing Machinery (ACM), 2023-05-26)
Continuous integration (CI) is a popular practice in modern software engineering. Unfortunately, it is also a high-cost practice — Google and Mozilla estimate their CI systems in millions of dollars. To reduce the computational ... -
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs.
Cintrano López, Christian; Ferrer-Urbano, Francisco Javier; López-Ibáñez, Manuel; Alba-Torres, Enrique (MIT Press Direct, 2023-03)
In the traffic light scheduling problem, the evaluation of candidate solutions requires the simulation of a process under various (traffic) scenarios. Thus, good solutions should not only achieve good objective function ...