Documentos de Gonzalez-Abril L. | REDI

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Filtros aplicados

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

Subtipo de publicación

Conference Object(4)

Publisher

Frontiers in Artificial Intelligence and Applications(2)

Pattern Recognition(2)

ESANN 2011 - 19th European Symposium on Artificial Neural Networks(1)

Electronics (Switzerland)(1)

Expert Systems with Applications(1)

Área temáticas

Programación informática, programas, datos, seguridad(7)

Ciencias de la computación(4)

Funcionamiento de bibliotecas y archivos(3)

Métodos informáticos especiales(3)

Medicina y salud(2)

Área de conocimiento

Aprendizaje automático(10)

Ciencias de la computación(4)

Inteligencia artificial(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(13)

ODS 4: Educación de calidad(6)

ODS 8: Trabajo decente y crecimiento económico(4)

ODS 3: Salud y bienestar(3)

Año de Publicación

Origen

Palabras Claves

Large margin principle(2)

Support Vector Machine(2)

classification(2)

A note on the bias in SVMs for multiclassification

Abstract: During the usual SVM biclassification learning process, the bias is chosen a posteriori as the value

Palabras claves:

bias, Multiclassification, support vector machine (SVM)

Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Velasco F.

A post-processing strategy for SVM learning from unbalanced data

Conference Object

Abstract: Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on the

Palabras claves:

Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H.

Concerning nuclei, distances, and similitudes among intervals

Abstract: A high number of applications exists where the information to code comes expressed as an interval of

Palabras claves:

Analysis Interval, Distances, Machine Kernel, Qualitative reasoning, similarity

Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Ruiz F.J., Velasco F.

Dual unification of bi-class support vector machine formulations

Abstract: Support vector machine (SVM) theory was originally developed on the basis of a linearly separable bi

Palabras claves:

Bi-classification, Convex hull, Large margin principle, Optimization, SVM

Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.

Improving SVM Classification on Imbalanced Datasets by Introducing a New Bias

Abstract: Support Vector Machine (SVM) learning from imbalanced datasets, as well as most learning machines, c

Palabras claves:

bias, Cost-sensitive strategy, Post-processing, SMOTE, Support Vector Machine

Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H.

Introducing a 'difficulty factor' for dataset bi-classification using SVM

Conference Object

Abstract: This paper analyses the difficulty associated to the task of binary classification when a Support Ve

Palabras claves:

classification, Complexity, Glass dataset, Lagrange multipliers, SVM

Cecilio Angulo Bahón, Gonzalez-Abril L.

Multi-classification by using tri-class SVM

Abstract: The standard form for dealing with multi-class classification problems when bi-classifiers are used

Palabras claves:

Bi-classifier, Multi-classification, Ordinal regression, Support Vector Machine

Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A., Ruiz F.J.

Multi-classification with Tri-class support vector machines. A review

Conference Object

Abstract: In this article, with the aim to avoid the loss of information that occurs in the usual one-versus-o

Palabras claves:

Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.

Online motion recognition using an accelerometer in a mobile device

Abstract: This paper introduces a new method to implement a motion recognition process using a mobile phone fi

Palabras claves:

Features extraction, pattern recognition, SVM

Cecilio Angulo Bahón, Fuentes D., Gonzalez-Abril L., Ortega J.A.

Statistical Validation of Synthetic Data for Lung Cancer Patients Generated by Using Generative Adversarial Networks

Abstract: The development of healthcare patient digital twins in combination with machine learning technologie

Palabras claves:

Generative Adversarial Network, lung cancer, personalized medicine, validation tools

Cecilio Angulo Bahón, Gonzalez-Abril L., Lopez-Guerra J.L., Ortega J.A.