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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(8)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(2)
2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings(1)
2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016(1)
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(1)
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Ciencias de la computación(7)
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Developments on solutions of the normalized-cut-clustering problem without eigenvectors
Conference ObjectAbstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.Palabras claves:Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic formsAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusConstrained affinity matrix for spectral clustering: A basic semi-supervised extension
Conference ObjectAbstract: Spectral clustering has represented a good alternative in digital signal processing and pattern recoPalabras claves:Affinity matrix, kernel methods, Prior information, semi-supervised analysis, Spectral clusteringAutores:Castellanos G., Castro-Hoyos C., Diego Hernán Peluffo-OrdóñezFuentes:scopusDeforming objects via exponential homotopy: A first approach
Conference ObjectAbstract: This work presents a novel alternative to conventional linear homotopy with suboptimal settings forPalabras claves:Autores:Alpala-Alpala L.O., Diego Hernán Peluffo-Ordóñez, González-Castaño C., Guasmayan F.A.Fuentes:scopusCardiac pulse modeling using a modified van der Pol oscillator and genetic algorithms
Conference ObjectAbstract: This paper proposes an approach for modeling cardiac pulses from electrocardiographic signals (ECG).Palabras claves:Autores:A. E. Castro-Ospina, Antonio Acosta, Arciniegas-Mejía A.F., Diego Hernán Peluffo-Ordóñez, Imbajoa-Ruiz D.E., Lopez-Chamorro F., Paul D. Rosero-Montalvo, Pedro GarcíaFuentes:scopusAdvances in Homotopy Applied to Object Deformation
Conference ObjectAbstract: This work explores novel alternatives to conventional linear homotopy to enhance the quality of resuPalabras claves:Homotopy, Object deformation, Smooth transitions, Transcendental functionsAutores:Alpala-Alpala L.O., Ana C. Umaquinga-Criollo, Castellanos-Dominguez G., Cruz-Cruz L.D., Diego Hernán Peluffo-Ordóñez, González-Castaño C., Miguel A. Becerra, Salazar-Castro J.A.Fuentes:googlescopusAn Interactive Framework to Compare Multi-criteria Optimization Algorithms: Preliminary Results on NSGA-II and MOPSO
Conference ObjectAbstract: A problem of multi-criteria optimization, according to its approach, can mean either minimizing or mPalabras claves:Evolutionary computation, multi-objective optimization, Swarm intelligenceAutores:Diego Hernán Peluffo-Ordóñez, Dorado-Sevilla D.F., Erick P. Herrera-Granda, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusAnálisis exploratorio del comportamiento de datos cambiantes en el tiempo usando tópicos avanzados de álgebra lineal
Master ThesisAbstract: En la actualidad, el análisis de datos dinámicos o variantes en el tiempo es de altísimo interés enPalabras claves:AGRUPAMIENTO ESPECTRAL, ÁLGEBRA DE MATRICES, DATOS DINÁMICOS, Kernel spectral clusteringAutores:Diego Hernán Peluffo-Ordóñez, Omar Ricardo Oña RochaFuentes:rraaeGHG Global Emission Pbkp_rediction of Synthetic N Fertilizers Using Expectile Regression Techniques
ArticleAbstract: Agriculture accounts for a large percentage of nitrous oxide ((Formula presented.)) emissions, mainlPalabras claves:Air quality, bio-meteorology, expectile regression, greenhouse gas emissions, nitrogen-based fertilizers, Nitrous oxide, Supervised machine learningAutores:Aalaila Y., Bamansour S., Benghzial K., Diego Hernán Peluffo-Ordóñez, Elhamdi M., Raki H.Fuentes:scopusGeneralized Spectral Dimensionality Reduction Based on Kernel Representations and Principal Component Analysis
Conference ObjectAbstract: Very often, multivariate data analysis problems require dimensionality reduction (DR) stages to eithPalabras claves:Dimensionality reduction, Kernel representations, Principal Component Analysis, Spectral methodsAutores:Diego Hernán Peluffo-Ordóñez, Hasperué W., Josué Marín-Gaviño, Juan González-Vergara, MacArthur Ortega-Bustamante, Martín Vélez-FalconíFuentes:scopusDifferent perspectives for kernel spectral clustering: A theoretical study
Conference ObjectAbstract: Spectral clustering is a suitable technique to deal with problems involving unlabeled clusters and hPalabras claves:Kernel, Spectral clustering, SUPPORT VECTOR MACHINESAutores:Carlos A.A. Vásquez, Carlos Pupiales, Diego Hernán Peluffo-Ordóñez, Edgar D.V. Jaramillo, Edgar Maya-Olalla, JAIME ROBERTO MICHILENA CALDERÓN, Luis Suárez-Zambrano, Paul D. Rosero-MontalvoFuentes:googlescopus