Listar ITIS - Artículos por título
Mostrando ítems 80-99 de 144
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Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum
Carnero, Alejandro; Martín-Fernández, Cristian
; Torres, Daniel R.; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (IEEE, 2021-08)
The Internet of Things (IoT) is constantly growing, generating an uninterrupted data stream pipeline to monitor physical world information. Hence, Artificial Intelligence (AI) continuously evolves, improving life quality ... -
Managing Reputation in Collaborative Social Computing Applications
Moreno, Nathalie; Perez-Vereda, Alejandro; Vallecillo-Moreno, Antonio Jesús (AITO, 2022-06)
Reputation is a fundamental concept for making decisions about service providers. However, managing reputation in peer-to-peer distributed applications is not easy due to the lack of a central server that can compute this ... -
Memetic collaborative approaches for finding balanced incomplete block designs
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Elsevier, 2020)
The balanced incomplete block design (BIBD) problem is a difficult combinatorial problem with a large number of symmetries, which add complexity to its resolution. In this paper, we propose a dual (integer) problem ... -
Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2021)
The template design problem (TDP) is a hard combinatorial problem with a high number of symmetries which makes solving it more complicated. A number of techniques have been proposed in the literature to optimise its ... -
Model Transformation Testing and Debugging: A Survey
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness ... -
Model-agnostic local explanation: Multi-objective genetic algorithm explainer
Nematzadeh, Hossein; García-Nieto, José Manuel; Hurtado-Requena, Sandro José; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024)
Late detection of plant diseases leads to irreparable losses for farmers, threatening global food security, economic stability, and environmental sustainability. This research introduces the Multi-Objective Genetic Algorithm ... -
Modelling Digital Avatars: a tuple space approach
The development of the Internet of Things (IoT) came with the manufacturing of a huge amount of smart things equipped with sensors for making them aware of their environment, and with network connection for allowing remote ... -
MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms
Aldana Martín, José Francisco; Roldán-García, María del Mar; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (Elsevier, 2024-01-23)
The application of semantic technologies, particularly ontologies, in the realm of multi-objective evolutionary algorithms is overlook despite their effectiveness in knowledge representation. In this paper, we introduce ... -
Multi-objective context-guided consensus of a massive array oftechniques for the inference of Gene Regulatory Networks
Segura Ortiz, Adrián; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024-07-15)
Background and Objective: Gene Regulatory Network (GRN) inference is a fundamental task in biology and medicine, as it enables a deeper understanding of the intricate mechanisms of gene expression present in organisms. ... -
NITRO: a gadget to transform standard rollators into smart rollators for monitoring user conditions.
Ballesteros-Gómez, Joaquín; Fernández-Carmona, Manuel; Urdiales-García, Amalia Cristina (2023-11-26)
The goal of using a rollator is to provide physical stability, support, and increase independence while walking or performing daily activities. The decision to use a rollator is often made in consultation with healthcare ... -
NK Hybrid Genetic Algorithm for Clustering
The NK hybrid genetic algorithm for clustering is proposed in this paper. In order to evaluate the solutions, the hybrid algorithm uses the NK clustering validation criterion 2 (NKCV2). NKCV2 uses information about the ... -
NORA: Scalable OWL reasoner based on NoSQL databases and Apache Spark.
Benítez-Hidalgo, Antonio; Navas-Delgado, Ismael; Roldán-García, María del Mar (Wiley, 2023-09-04)
Reasoning is the process of inferring new knowledge and identifying inconsistencies within ontologies. Traditional techniques often prove inadequate when reasoning over large Knowledge Bases containing millions or billions ... -
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
(SpringerLink, 2023-05-23) -
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
Cámara-Moreno, Javier; Troya-Castilla, Javier; Burgueño-Caballero, Lola; Vallecillo-Moreno, Antonio Jesús (Springer, 2023)
Most experts agree that large language models (LLMs), such as those used by Copilot and ChatGPT, are expected to revo- lutionize the way in which software is developed. Many papers are currently devoted to analyzing the ... -
On the automatic design of multi‑objective particle swarm optimizers: experimentation and analysis.
Nebro-Urbaneja, Antonio Jesús; López-Ibáñez, Manuel; García-Nieto, José Manuel; Coello Coello, Carlos A. (Springer Nature, 2023-10-09)
Research in multi-objective particle swarm optimizers (MOPSOs) progresses by proposing one new MOPSO at a time. In spite of the commonalities among different MOPSOs, it is often unclear which algorithmic components are ... -
On the performance of SQL scalable systems on Kubernetes: a comparative study
Cardas Ezeiza, Cristian; Aldana Martín, José Francisco; Burgueño Romero, Antonio Manuel; Nebro-Urbaneja, Antonio Jesús; Mateos, Jose M.; Sánchez-Martínez, Juan José[et al.] (2022-09-09)
The popularization of Hadoop as the the-facto standard platform for data analytics in the context of Big Data applications has led to the upsurge of SQL-on-Hadoop systems, which provide scalable query execution engines ... -
OneSpace: Detecting cross-language clones by learning a common embedding space
Elarnaoty, Mohammed; Servant-Cortés, Francisco Javier (Elsevier, 2024)
Identifying clone code fragments across different languages can enhance the productivity of software developers in several ways. However, the clone detection task is often studied in the context of a single language and ... -
Online learning and continuous model upgrading with data streams through the Kafka-ML framework
Carnero Hijano, Alejandro; Martín-Fernández, Cristian; Jeon, Gwanggil; Díaz-Rodríguez, Manuel (Elsevier, 2024)
A pipeline of constant data streams is being built by the Internet of Things (IoT) to monitor information about the physical environment. In parallel, Artificial Intelligence (AI) is constantly developing and enhancing ... -
Optimizing Hearthstone Agents using an Evolutionary Algorithm.
García Sánchez, Pablo; Tonda, Alberto; Fernández-Leiva, Antonio José; Cotta-Porras, Carlos (Elsevier, 2020)
Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with ...