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Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences
Conference ObjectAbstract: Training of deep learning models requires large and properly labeled datasets, which make unfeasiblePalabras claves:Breast Cancer, Deep feature selection, multiple kernel learning, ResNet, Transfer learningAutores:A. E. Castro-Ospina, Díaz G.M., Hernández M.L., Marín-Castrillón D.M., Osorno-Castillo K.Fuentes:scopusClustering of Reading Ability Performance Variables in the English Language Based on TBL Methodology and Behavior in the Left Hemisphere of the Brain
Conference ObjectAbstract: This research presents an application of the clustering based on Thinking Based - Learning methodoloPalabras claves:Clustering, Cognitive intelligence, Intelligence execution theory, Linguistic skill, Thinking based-learningAutores:Diego Hernán Peluffo-Ordóñez, Leandro L. Lorente-Leyva, Patiño-Alarcón D.R., Patiño-Alarcón F.A.Fuentes:scopusCollision Avoidance Simulation Using Voronoi Diagrams in a Centralized System of Holonomic Multi-agents
Conference ObjectAbstract: This work solves the Collision Avoidance problem in a simulation of a centralized system of holonomiPalabras claves:Collision Avoidance, Convex optimization, PATH PLANNING, Quadratic programming, Simulation, Voronoi diagramsAutores:Israel Pineda, Leduin José Cuenca MacasFuentes:googlescopusComparative Study of Image Degradation and Restoration Techniques
Conference ObjectAbstract: This paper implements airy disk smoothing, Poisson noise, Gaussian smoothing, Hanser’s phase term, aPalabras claves:Computer Vision, IMAGE PROCESSING, Image restoration, Inverse filter, Wiener filterAutores:Israel Pineda, Manuel Eugenio Morocho-Cayamcela, Washington PijalFuentes:scopusComparative analysis between embedded-spaces-based and Kernel-based approaches for interactive data representation
Conference ObjectAbstract: This work presents a comparative analysis between the linear combination of em-bedded spaces resultiPalabras claves:Artificial Intelligence, CMDS, Dimensionality reduction methods, Kernel, Kernel PCA, LE, LLEAutores:Carlos M. Ortega-Castillo, Cielo K. Basante-Villota, Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Salazar-Castro J.A.Fuentes:scopusAssessing the COVID-19 Vaccination Process via Functional Data Analysis
Conference ObjectAbstract: This manuscript aims to assess the evolution of the COVID-19 vaccination process in some American anPalabras claves:covid-19, Functional clustering, functional data analysis, Functional Principal Components AnalysisAutores:Christian Calle-Cárdenas, Guido Tapia-Riera, Isidro Rafael Amaro, Lenin Riera-Segura, Saba Rafael InfanteFuentes:googlescopusBrain Tumor Segmentation Based on 2D U-Net Using MRI Multi-modalities Brain Images
Conference ObjectAbstract: Glioblastoma is the most common malignant primary brain tumor, making up approximately 80% of all maPalabras claves:Brain tumor segmentation, BraTS dataset, glioma, Multimodal MRI, U-netAutores:Andrés Tirado-Espín, Cadena-Morejón C., Daniela Tene-Hurtado, Diego Almeida-Galárraga, Fernando Villalba-Meneses, Omar Santiago Alvarado Cando, Orozco-López O., Salazar V.H.Fuentes:googlescopusBrief Review of Functional Data Analysis: A Case Study on Regional Demographic and Economic Data
Conference ObjectAbstract: Functional data analysis (FDA) is an important recent field in statistics that enables us to analyzePalabras claves:CLÚSTER ANALYSIS, Demographic data, functional data analysis, Principal Component AnalysisAutores:Adrián Padilla-Segarra, Isidro Rafael Amaro, Mabel González-Villacorte, Saba Rafael InfanteFuentes:googlescopusAnalysis of Chaos and Pbkp_redicting the Price of Crude Oil in Ecuador Using Deep Learning Models
Conference ObjectAbstract: This paper studied deterministic chaotic behaviour and pbkp_rediction of WTI crude oil daily price tPalabras claves:Chaotic time series, Crude oil, Neural networks, Time series pbkp_redictionAutores:Génesis Carillo, María J. Ayala, Naomi Cedeño, Saba Rafael Infante, Sebastián LalvayFuentes:scopusAnalysis of Essentially Non-oscillatory Numerical Techniques for the Computation of the Level Set Method
Conference ObjectAbstract: In this paper, we analyze the Upwind Differencing and the Essentially Non-Oscillatory (ENO) schemesPalabras claves:Essentially non-oscillatory, Level set method, SimulationAutores:Daniela Arellano, Israel Pineda, Roberth ChachaloFuentes:scopus