Documentos de Areiza-Laverde H.J. | REDI

Regresar

Mostrando 5 resultados de: 5

Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 17: Alianzas para lograr los objetivos"

Subtipo de publicación

Conference Object(4)

Publisher

Communications in Computer and Information Science(2)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)

Proceedings of SPIE - The International Society for Optical Engineering(1)

Sensors (Switzerland)(1)

Área temáticas

Programación informática, programas, datos, seguridad(3)

Enfermedades(2)

Biblioteconomía y Documentación informatica(1)

Cirugía y especialidades médicas afines(1)

Fisiología humana(1)

Área de conocimiento

Aprendizaje automático(4)

Ciencias de la computación(1)

Estadísticas(1)

Laboratorio médico(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(5)

ODS 3: Salud y bienestar(3)

ODS 4: Educación de calidad(2)

Año de Publicación

Origen

Palabras Claves

Machine learning(3)

Multimodality(2)

multiple kernel learning(2)

Automatic classification(1)

A novel method for objective selection of information sources using multi-kernel SVM and local scaling

Abstract: Advancement on computer and sensing technologies has generated exponential growth in the data availa

Palabras claves:

Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINES

A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.

Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification

Conference Object

Abstract: Breast MRI interpretation requires that radiologists examine several images, depending on the acquis

Palabras claves:

Breast MRI, GBVS, Machine learning, MKL, Visual saliency

A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Duarte-Salazar C.a., Hernández M.L.

Feature group selection using mkl penalized with ℓ<inf>1</inf> -norm and svm as base learner

Conference Object

Abstract: Objective feature selection is an important component in the machine learning framework, which has a

Palabras claves:

feature selection, Group LASSO, Multimodality, multiple kernel learning, sparsity

A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M.

Radiomics-based differentiation of pleomorphic adenomas and Warthin tumors of salivary glands

Conference Object

Abstract: Pleomorphic adenomas (PA) and Warthin tumors (WT) are the most common salivary gland tumors. It exhi

Palabras claves:

Automatic classification, Machine learning, magnetic resonance imaging, Pleomorphic adenoma, Radiomics, Warthin tumor

A. E. Castro-Ospina, Areiza-Laverde H.J., Brea B., Díaz G.M., Malpica-González N.

Two novel clustering performance measures based on coherence and relative assignments of clusters

Conference Object

Abstract: This work proposes two novel alternatives for dealing with the highly important issue of the cluster

Palabras claves:

Cluster coherence, Clustering, Graph-partitioning, probabilities, Relative frequencies

A. E. Castro-Ospina, Areiza-Laverde H.J., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.