Listar1. Investigación por tema "Machine learning"
Mostrando ítems 21-40 de 117
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Applied Computational Techniques on Schizophrenia Using Genetic Mutations
(Bentham, 2013-03-01)[Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ... -
Applying Artificial Intelligence for Operating System Fingerprinting
(MDPI, 2021)[Abstract] In the field of computer security, the possibility of knowing which specific version of an operating system is running behind a machine can be useful, to assist in a penetration test or monitor the devices ... -
Una aproximación supervisada para la minería de opiniones sobre tuits en español en base a conocimiento lingüístico
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)[Resumen]: En este artículo se describe un sistema para la clasificación de la polaridad de tuits escritos en español. Se adopta una aproximación híbrida, que combina conocimiento lingüístico obtenido mediante PLN con ... -
Artificial intelligence in paediatrics: Current events and challenges
(Elsevier, 2024-03)[Abstract]: This article examines the use of artificial intelligence (AI) in the field of paediatric care within the framework of the 7P medicine model (Predictive, Preventive, Personalized, Precise, Participatory, Peripheral ... -
Assessment of the Influence of Features on a Classification Problem: An Application to COVID-19 Patients
(Elsevier, 2022)[Abstract] This paper deals with an important subject in classification problems addressed by machine learning techniques: the evaluation of the influence of each of the features on the classification of individuals. ... -
Authentication of tequilas using pattern recognition and supervised classification
(Elsevier, 2017-07-18)[Abstract] Sales of reputed, Mexican tequila grown substantially in last years and, therefore, counterfeiting is increasing steadily. Hence, methodologies intended to characterize and authenticate commercial beverages are ... -
Automated Early Detection of Drops in Commercial Egg Production Using Neural Networks
(Taylor & Francis, 2017-10-17)[Abstract] 1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg ... -
Automatic classification of respiratory patterns involving missing data imputation techniques
(Academic Press, 2015-10)[Abstract] A comparative study of the respiratory pattern classification task, involving five missing data imputation techniques and several machine learning algorithms is presented in this paper. The main goal was to ... -
Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches
(IEEE, 2021)[Abstract] Epiretinal Membrane (ERM) is a disease caused by a thin layer of scar tissue that is formed on the surface of the retina. When this membrane appears over the macula, it can cause distorted or blurred vision. ... -
Automatic Segmentation and Visualisation of the Epirretinal Membrane in OCT Scans Using Densely Connected Convolutional Networks
(MDPI, 2021)[Abstract] The Epiretinal Membrane (ERM) is an ocular disease that appears as a fibro-cellular layer of tissue over the retina, specifically, over the Inner Limiting Membrane (ILM). It causes vision blurring and distortion, ... -
Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models
(Bentham, 2015-09-01)[Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction ... -
Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data
(Elsevier, 2015-03-30)[Abstract] Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer’s Disease (AD). This work is the first ... -
CollisionGP: comprobación de colisiones probabilística con procesos gaussianos
(Universidade da Coruña. Servizo de Publicacións, 2023)[Resumen] La comprobación de colisiones es la operación primitiva de la planificación de movimientos que más tiempo consume. Se ha demostrado que los algoritmos de aprendizaje automático aceleran la comprobación de colisiones. ... -
Comparison of Outlier-Tolerant Models for Measuring Visual Complexity
(MDPI AG, 2020-04-24)[Abstract] Providing the visual complexity of an image in terms of impact or aesthetic preference can be of great applicability in areas such as psychology or marketing. To this end, certain areas such as Computer Vision ... -
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
(Elsevier, 2023-07)[Abstract]: COVID-19 is a global threat for the healthcare systems due to the rapid spread of the pathogen that causes it. In such situation, the clinicians must take important decisions, in an environment where medical ... -
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
(Elsevier, 2023-12)[Abstract]: Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear ... -
CUDA-JMI: Acceleration of feature selection on heterogeneous systems
(Elsevier, 2020-01)[Abstract]: Feature selection is a crucial step nowadays in machine learning and data analytics to remove irrelevant and redundant characteristics and thus to provide fast and reliable analyses. Many research works have ... -
Data Extraction in Insurance Photo-Inspections Using Computer Vision
(MDPI AG, 2020-08-21)[Abstract] Recent advances in computer vision and artificial intelligence allow for a better processing of complex information in many fields of human activity. One such field is vehicle expertise and inspection. This ... -
Deep Learning-Based Wave Overtopping Prediction
(MDPI, 2024-03-20)[Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ... -
Design of Machine Learning Models for the Prediction of Transcription Factor Binding Regions in Bacterial DNA
(MDPI, 2021)[Abstract] Transcription Factors (TFs) are proteins that regulate the expression of genes by binding to their promoter regions. There is great interest in understanding in which regions TFs will bind to the DNA sequence ...