Artículo: Advances in Homotopy Applied to Object Deformation
Categoría: Cuartil 2 de Scocpus en la revista .
Autores:
Revista: Lecture Notes in Computer SCIENCE
Link: https://link.springer.com/chapter/10.1007/978-3-319-78759-6_22
Artículo: Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages
Categoría: Cuartil 2 de Scocpus en la revista .
Autores:
Revista: Lecture Notes in Computer SCIENCE
Link: https://link.springer.com/chapter/10.1007/978-3-319-78723-7_3
Artículo: Low Data Fusion Framework Oriented to Information Quality for BCI Systems
Categoría: Cuartil 2 de Scocpus en la revista .
Autores:
Revista: Lecture Notes in Computer SCIENCE
Link: https://link.springer.com/chapter/10.1007/978-3-319-78759-6_27
Artículo: Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms
Categoría: Cuartil 2 de Scocpus en la revista .
Autores:
Revista: Lecture Notes in Computer SCIENCE
Link: https://link.springer.com/chapter/10.1007%2F978-3-319-78723-7_8
https://link.springer.com/chapter/10.1007/978-3-319-68935-7_44
Artículo: Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering
Autores:
Revista: International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) - Springer
https://link.springer.com/chapter/10.1007/978-3-319-68935-7_50
Artículo: Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations
Autores:
Revista: International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) - Springer
Artículo: Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations
Autores:
Revista: International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) - Springer
Artículo: Dimensionality reduction for interactive data visualization via a Geo-Desic approach
Autores: Jose A. Salazar-Castro, Diego Peña-Unigarro, Diego H. Peluffo-Ordóñez, Paul D. Rosero-Montalvo, H. Mauricio Domínguez-Limaico, Juan C. Alvarado-Pérez.
Revista: IEEE XPLORE - Digital Library
http://revistas.usal.es/index.php/2255-2863/article/view/ADCAIJ2017613140/16366
Articulo: Kernel-based framework for spectral dimensionality reduction and clustering formulation: A theoretical study
Autores: X. Blanco-Valenciaa , M. A. Becerrab, A. E. Castro-Ospinac , M. Ortega-Adarmed , D. Viveros-Melod , J. C. AlvaradoPéreza, D. H. Peluffo-Ordóñez
Revista: ADCAIJ: Advances in Distributed Computing and Articial Intelligence Journal
http://www.diegopeluffo.com/publicaciones/2016_CongresoInternacionallng_Kernel.pdf
Articulo: Visualización y métodos kernel: Integrando inteligencia natural y artificial
Kernel visualization and methods: Integrating natural and artificial intelligence
Autores: Juan C. Alvarado-Pérez, Diego H. Peluffo-Ordóñez, y Roberto Theron
Revista: Congreso Internacional de Ingenierías UPEC 2016.
http://www.diegopeluffo.com/publicaciones/2016_JornadasFica_prototipo_pistola.pdf
Articulo: Prototipo de Arma de Fuego Para Uso Controlado En la Sociedad Como Alternativa Segura.
Prototype of Firearm for Controlled Use In the Society As a Safe Alternative.
Autores: R. O. Peña-Pérez, J. C. Alvarado-Pérez, P. A. Briceño-Rivera, L. E. Arteaga-Noguera, M. V. Cabrera-Álvarez, D.H. Peluffo-Ordoñez
Revista: Jornadas Internacionales FICA 2016.
https://www.researchgate.net/profile/Ana_Umaquinga/publication/311457198_Propuesta_de_analisis_visual_de_datos_en_Big_Data_usando_reduccion_de_dimension_interactiva/links/58480f2a08ae61f75de34549.pdf
Articulo: Propuesta de análisis visual de datos en Big Data usando reducción de dimensión interactiva
Proposal for visual data analysis in Big Data using dimension reduction Interactive
Autores: A. C. Umaquinga-Crioll, D. H. Peluffo-Ordóñez, M. V. Cabrera-Álvarez, J. C. Alvarado-Pérez, A. J. Anaya-Isaza
Revista: Jornadas Internacionales FICA 2016.
https://www.researchgate.net/profile/Ana_Umaquinga/publication/311450410_Estudio_comparativo_de_metodos_espectrales_para_reduccion_de_la_dimensionalidad_LDA_versus_PCA_Comparative_study_between_spectral_methods_for_dimension_reduction_LDA_versus_PCA/links/5846c4e008ae61f75ddfd956.pdf
Articulo: Estudio comparativo de métodos espectrales para reducción de la dimensionalidad: LDA versus PCA
Comparative study of spectral methods for reduction Of dimensionality: LDA versus PCA
Autores: Andrés J. Anaya-Isaza, Diego H. Peluffo-Ordoñez, Juan C. Alvarado-Pérez, Jorge Ivan-Rios, Juan A. Castro-Silva, Paul D. Rosero-Montalvo, Diego F. Peña-Unigarro, Jose A. Salazar-Castro, Juan C., Ana C. Umaquinga-Criollo
Revista: International Conference on Information Systems and Computer Science 2016 (INCISCOS)
https://www.researchgate.net/profile/Paul_Rosero2/publication/311735325_Interactive_data_visualization_using_dimensionality_reduction_and_similarity-based_representations/links/58585b4c08aeffd7c4fbb5c4.pdf
Artículo: Interactive data visualization using dimensionality reduction and similarity-based representations.
Autores: P Rosero-Montalvo, P Diaz, J A Salazar-Castro, D F Peña-Unigarro, A J Anaya-Isaza, J C Alvarado-Pérez, R Therón, D H Peluffo-Ordoñez
Revista: XXI IberoAmerican Congress on Pattern Recognition 2016 (CIARP).
http://www.diegopeluffo.com/publicaciones/2016_IEEE-LA-CII_%20Geo-Desic%20approach.pdf
Articulo: Dimensionality reduction for interactive data visualization via a Geo-Desic approach
Autores: Jose A. Salazar-Castro, Diego Peña-Unigarro, Diego H. Peluffo-Ordóñez, Paul D. Rosero-Montalvo, H. Mauricio Domínguez-Limaico, Juan C. Alvarado-Pérez, Roberto Therón
Revista: Latin American Conference on Computational Intelligence 2016 (IEEE LA-CCI).
https://link.springer.com/chapter/10.1007/978-3-319-40162-1_28
Articulo: On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint
Autores: D. H. Peluffo-Ordóñez, M. A. Becerra, A. E. Castro-Ospina, X. Blanco-Valencia, J. C. Alvarado-Pérez, R. Therón, A. Anaya-Isaza
Revista: 13th International Conference on Distributed Computing and Artificial Intelligence, Advances in Intelligent Systems and Computing. DCAI 2016