Estas son las colecciones en las que puede catalogar la producción investigadora del departamento Lenguajes y Ciencias de la Computación. Si considera que ninguna de estas se ajusta a su material pida una nueva colección en la sección de sugerencias.

Colecciones en esta comunidad

Envíos recientes

  • A Requirements-Driven Approach for Building Architecture Projects of Self-Adaptive Systems 

    Araujo De Oliveira, Patricia (UMA Editorial, 2022)
    A well-structured software architectural project allows us to analyze and describe the properties of a complex system towards a general and complete overview, thus enabling the alternative decision-making in the face of ...
  • Trust Negotiation Framework: Guidance for Developers 

    Kolar, Martin (UMA Editorial, 2022)
    Trust negotiation represents a suitable approach for building trust between entities. It does not require a previous experience with an entity. This is useful for online environments, in which entities are anonymous and ...
  • Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks 

    Palomo, Esteban J.; Zafra-Santisteban, Miguel A.; Luque-Baena, Rafael M. (2022)
    Pneumonia is an infectious and deadly disease which strikes over millions of people. Usually, chest X-rays are used by radiotherapist to diagnose pneumonia. In this paper, a Computer- Aided Diagnosis (CAD) system for ...
  • Stenosis detection in coronary angiography images using deep learning models 

    Luque-Baena, Rafael M.; Romero Granados, Irene; Jiménez-Partinen, Ariadna; Palomo, Esteban J. (2022)
    The emergence of deep learning has caused its massive application to different fields in industry and research, among which is the clinical field, especially in those where the data is structured in the form of images ...
  • Combining OCL and Natural Language: a Call for a Community Effort 

    Cabot, Jordi; Delgado, David; Burgueño, Lola (ACM, 2022-10)
    The growing popularity and availability of pretrained natural language models opens the door to many interesting applications combining natural language (NL) with software artefacts. A couple of examples are the generation ...
  • A Trust-by-Design Framework for the Internet of Things 

    Ferraris, Davide (UMA Editorial, 2022-11-03)
    The Internet of Things (IoT) is an environment where interconnected entities can interact and can be identifiable, usable, and controllable via the Internet. However, in order to interact among them, such IoT entities must ...
  • Dataciones absolutas de yacimientos protohistóricos de la bahía de Málaga en el contexto de la primera presencia fenicia en el sur de la Península Ibérica 

    Caro, Jose L.; Suárez-Padilla, Jose (XCIEFP 2022. X Congreso Internacional de Estudios Fenicios y Púnicos, 2022)
    En el presente artículo pretendemos aportar un nuevo conjunto de dataciones para la primera presencia fenicia en la bahía de Málaga. Así, se aportarán dataciones complementarias a las existentes en yacimientos fenicios y ...
  • Moving object detection in noisy video sequences using deep convolutional disentangled representations. 

    García-González, Jorge; Luque-Baena, Rafael Marcos; Ortiz-de-lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (2022)
    Noise robustness is crucial when approaching a moving de- tection problem since image noise is easily mistaken for movement. In order to deal with the noise, deep denoising autoencoders are commonly proposed to be applied ...
  • AndroCIES: Automatización de la certificación de seguridad para aplicaciones Android 

    Ruiz, Manuel; Ríos, Rubén; Román, Rodrigo; Muñoz, Antonio; Martínez, Juan Manuel; [et al.] (2022)
    El auge de las plataformas móviles está impulsando el desarrollo de un gran número de aplicaciones, muchas de las cuales salen al mercado sin las convenientes comprobaciones de seguridad. Recientemente, Google está apostando ...
  • Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks 

    García González, Jorge; García Aguilar, Iván; Medina, Daniel; Luque-Baena, Rafael M.; López-Rubio, Ezequiel; [et al.] (2022)
    The development of artificial vision systems to support driving has been of great interest in recent years, especially after new learning models based on deep learning. In this work, a framework is proposed for detecting ...
  • Addressing the Uncertainty Interaction Problem in Software-intensive Systems: Challenges and Desiderata 

    Cámara, Javier; Calinescu, Radu; Cheng, Betty H.C.; Garlan, David; Schmerl, Bradley; [et al.] (2022-10-23)
  • Reconstruction of Gene Regulatory Networks with Multi-objective Particle Swarm Optimisers 

    Hurtado, Sandro; García-Nieto, José; Navas-Delgado, Ismael; Nebro-Urbaneja, Antonio Jesus; Aldana-Montes, Jose Francisco (2022-07-05)
    The computational reconstruction of Gene Regulatory Networks (GRNs) from gene expression data has been modelled as a complex optimisation problem, which enables the use of sophisticated search methods to address it. ...
  • Ontology-Driven Approach for KPI Meta-modelling, Selection and Reasoning 

    Roldan-Garcia, Maria del Mar; García-Nieto, José; Maté, Alejandro; Trujillo, Juan; Aldana-Montes, Jose Francisco (2022-09)
    A key challenge in current Business Analytics (BA) is the selection of suitable indicators for business objectives. This requires the exploration of business data through data-driven approaches, while modelling business ...
  • Injecting domain knowledge in multi-objective optimization problems: A semantic approach 

    Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesus; García-Nieto, José; Roldan-Garcia, Maria del Mar; Navas-Delgado, Ismael; [et al.] (Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos, 2022-09-05)
    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, ...
  • SAMGRID: Security Authorization and Monitoring Module Based on SealedGRID Platform 

    Suciu, George; Farao, Aristeidis; Bernardinetti, Giorgio; Palamà, Ivan; Sachian, Mari-Anais; [et al.] (IOAP-MPDI, 2022-08-30)
    IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents ...
  • On competitive balance in the group stage of the UEFA Champions League 

    Triguero-Ruiz, Francisco Andres; Avila-Cano, Antonio (Wiley, 2022-09-01)
    This article examines competitive balance in the group stage of the UEFA Champions League over the last two decades (1999/2000–2017/2018). Competitive balance is considered both before and after a competition. Have the ...
  • On the performance of SQL scalable systems on Kubernetes: a comparative study 

    Cardas, Cristian; Aldana-Martín, José F.; Burgueño-Romero, Antonio M.; Nebro-Urbaneja, Antonio Jesus; Mateos, Jose M.; [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 ...
  • FIMED: Flexible management of biomedical data 

    Hurtado, Sandro; García-Nieto, José; Navas-Delgado, Ismael; Aldana-Montes, Jose Francisco (2022-09-05)
    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 limitations, since they are ...
  • Secure Mobile Agents on Embedded Boards: a TPM based solution 

    Muñoz, Antonio; García, Iván (ACM - ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security August 2022 Article No.: 104 Pages 1–7 https://doi.org/10.1145/3538969.3544419ARES 2022, 2022-08-26)
    La seguridad puede considerarse uno de los aspectos esenciales de cualquier sistema informático actual. El panorama actual evoluciona constantemente y aparecen nuevos modelos informáticos al mismo tiempo que surgen diferentes ...
  • Application of data augmentation techniques towards metabolomics 

    Moreno-Barea, Francisco J.; Franco, Leonardo; Elizondo, David A.; Grootveld, Martin (Elsevier, 2022-07-27)
    Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in the ...

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