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Listar por palabra clave "Support vector machine"

Mostrando ítems 1-12 de 12

Benign /malignant classifier of soft tissue tumors using MR imaging

Garcia-Gomez, Juan M; Vidal, César; Martí-Bonmatí, Luís; Galant, Joaquín; Sans, Nicolas; Robles Viejo, Montserrat; Casacuberta Nolla, Francisco (Springer-Verlag, 2004-03)

[EN] This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: To ...
Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica

Tobar-Díaz, René; Gao, Yan; Mas, Jean François; Cambrón-Sandoval, Víctor Hugo (Universitat Politècnica de València, 2023-07-28)

[EN] Methodologies for land use and land cover (LULC) classification have demonstrated significant advances in recent years, such as the incorporation of machine learning (ML) classification techniques, which have gained ...
Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods

Valbuena, R.; Maltamo, M.; Packalen, P. (Universitat Politècnica de València, 2016-02-26)

[EN] The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the estimation of continuous variables describing forest attributes: biomass, volume, density, etc. ...
Comparación de indicadores de sostenibilidad entre zonas urbanas de Ecuador y España empleando imágenes Sentinel 2 MSI

Caiza, Lorena; Zegarra, Gabriela; Navarro, Estefania; Alvarez, Flor (Editorial Universitat Politècnica de València, 2021-10-01)

[EN] The spatio-temporal variability of vegetation in urban areas is one of the current concerns about climate variability events such as extreme temperature changes and flooding, coupled with the forecast that 70% of the ...
Developing a customer leak detection model using machine learning techniques

Calatayud Coquillat, Marcos (Universitat Politècnica de València, 2020-11-09)

[ES] -Introducción a la ciencia de datos y al Machine Learning -Preparación de la base de datos -Análisis exploratorio de los datos -Análisis mediante tree based methods: -Arboles de decisión -Ramdom ...
Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques

García-Pardo, José Gabriel; Colomer, Adrián; Naranjo Ornedo, Valeriana; Peñaranda, Francisco; Sales, María Ángeles (Springer, 2018-11-09)

A new approach for the segmentation of gland units in histological images is proposed with the aim of contributing to the improvement of the prostate cancer diagnosis. Clustering methods on several colour spaces are applied ...
Offensive Language Recognition in Social Media

Shushkevich, Elena; Cardiff, John; Rosso, Paolo; Akhtyamova, Liliya (Instituto Politecnico Nacional/Centro de Investigacion en Computacion, 2020)

[EN] This article proposes an approach to solving the problem of multiclassification within the framework of aggressive language recognition in Twitter. At the stage of preprocessing external data is added to the existing ...
Proposal of a New System for Essential Oil Classification Based on Low-Cost Gas Sensor and Machine Learning Techniques

Viciano-Tudela, Sandra; Parra, Lorena; Navarro-García, Paula; Sendra, Sandra; Lloret, Jaime (MDPI AG, 2023-07)

[EN] Essential oils are valuable in various industries, but their easy adulteration can cause adverse health effects. Electronic nasal sensors offer a solution for adulteration detection. This article proposes a new system ...
Real vs. immersive-virtual emotional experience: Analysis of psycho-physiological patterns in a free exploration of an art museum

Marín-Morales, Javier; Higuera-Trujillo, Juan Luis; Greco, Alberto; Guixeres, Jaime; Llinares Millán, María Del Carmen; Gentili, Claudio; Scilingo, Enzo Pasquale; Alcañiz Raya, Mariano Luis; Valenza, Gaetano (Public Library of Science, 2019-10-15)

[EN] Virtual reality is a powerful tool in human behaviour research. However, few studies compare its capacity to evoke the same emotional responses as in real scenarios. This study investigates psycho-physiological patterns ...
Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI

Larroza-Santacruz, Andrés; Moratal, David; Paredes Sánchez, Alexandra; Soria-Olivas, E; Chust-Vicente, Maria Luisa; Arribas, LA; Arana Fernandez de Moya, Estanislao (John Wiley & Sons, 2015)

[EN] ConclusionHigh classification accuracy (AUC>0.9) was obtained using texture features and a support vector machine classifier in an approach based on conventional MRI to differentiate between brain metastasis and ...
Time management and absenteeism: studying the students through machine learning

Porras, Santiago; Sauvée, Athénaïs; Puche, Julio César; Casado, Silvia; Antón, Paula; Pacheco, Joaquín Antonio (Editorial Universitat Politècnica de València, 2024-06-20)

[EN] Absenteeism in higher education is a problem that may involve institutional, economic, social, and individual consequences. The present work aims to analyse whether the way students manage their personal time could ...
Towards a Protein-Protein Interaction information extraction system: recognizing named entities

Danger Mercaderes, Roxana María; Pla Santamaría, Ferran; Molina Marco, Antonio; Rosso, Paolo (Elsevier, 2014-02)

[EN] The majority of biological functions of any living being are related to Protein Protein Interactions (PPI). PPI discoveries are reported in form of research publications whose volume grows day after day. Consequently, ...