LCC - Contribuciones a congresos científicos: Envíos recientes
Mostrando ítems 21-40 de 338
-
Elimination of constraints for parallel analysis of feature models.
(2023)Cross-tree constraints give feature models maximal expressive power since any interdependency between features can be captured through arbitrary propositional logic formulas. However, the existence of these constraints ... -
Clinical text classification in Cancer Real-World Data in Spanish
(2023-06-29)Healthcare systems currently store a large amount of clinical data, mostly unstructured textual information, such as electronic health records (EHRs). Manually extracting valuable information from these documents is costly ... -
Named Entity Recognition for De-identifying Real-World Health Records in Spanish.
(Springer Nature, 2023)A growing and renewed interest has emerged in Electronic Health Records (EHRs) as a source of information for decision-making in clinical practice. In this context, the automatic de-identification of EHRs constitutes an ... -
Deep learning for coronary artery disease severity classification
(2023)Medical imaging evaluations are one of the fields where computed-aid diagnosis could improve the efficiency of diagnosis supporting physician decisions. Cardiovascular Artery Disease (CAD) is diagnosed using the gold ... -
GreenSenti-IA: A Workflow Approach for Biodiversity Analysis in Urban Green Area Monitoring.
(2023)Nowadays, efficient urban planning cannot be conceived without carefully considering its ecological footprint. In particular, the smart design and monitoring of urban green areas is an important challenge in modern cities ... -
Photovoltaic energy prediction using machine learning techniques.
(2023)Solar energy is becoming one of the most promising power sources in residential, commercial, and industrial applications. Solar photovoltaic (PV) facilities use PV cells that convert solar irradiation into electric power. ... -
A FaaS approach for long-term monitoring in rehabilitation
(2022)The function as a service (FaaS) model, in which the costs are linked to the function time of use, is especially suitable in IoT or similar systems, where the information is collected periodically to consume less energy. ... -
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks
(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
(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
(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 ... -
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
(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.
(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
(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
(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 ... -
Reconstruction of Gene Regulatory Networks with Multi-objective Particle Swarm Optimisers
(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
(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 ... -
FIMED: Flexible management of biomedical data
(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
(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 ... -
Enhanced Perspective Generation by Consensus of NeX neural models
(2022-07)Neural rendering is a relatively new field of research that aims to produce high quality perspectives of a 3D scene from a reduced set of sample images. This is done with the help of deep artificial neural networks that ... -
A Service for Flexible Management and Analysis of Heterogeneous Clinical Data
(Springer, 2022-06-08)Este documento describe FIMED 2.0, un servicio para la gestión flexible y análisis de datos clínicos heterogéneos. Esta herramienta de software permite la gestión flexible de datos clínicos de múltiples ensayos, lo que ...