Listar por autor "Álvarez Meza, Andrés Marino"
Mostrando documentos 1-6 de 6
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A Supervised Learning Framework in the Context of Multiple Annotators
Gil González, Julián; Álvarez Meza, Andrés MarinoThe increasing popularity of crowdsourcing platforms, i.e., Amazon Mechanical Turk, is changing how datasets for supervised learning are built. In these cases, instead of having datasets labeled by one source (which is ... -
EEG-based BCI monitoring framework: Real-time acquisition and visualization from audiovisual stimulation paradigms
Cardona Alvarez, Yeison NolbertoThe widespread use of neurophysiological signals to develop brain-computer interface (BCI) systems has certainly varied clinical and nonclinical applications. Main implementations in medical issues include: rehabilitation, ... -
Estrategia de procesamiento de señales EEG en sistemas BCI utilizando aprendizaje profundo y medidas de conectividad
Gomez Rivera, Yessica AlejandraLas Interfaces Cerebro Computadora (BCI) basadas en Electroencefalografía (EEG) crean una conexión directa entre el cerebro humano y una computadora. Los paradigmas de Imaginación Motora (MI) permiten que los usuarios ... -
Nonlinear dimensionality reduction frameworks to support machine learning systems
Álvarez Meza, Andrés MarinoEn este trabajo se presentan algunos esquemas de reducción de dimensión no lineal (RDNL) basados en aprendizaje por variedades. En este sentido, se pretende identificar adecuadamente la información relevante del fenómeno ...Universidad Nacional de Colombia Sede Manizales Facultad de Ingeniería y Arquitectura Departamento de Ingeniería Eléctrica, Electrónica y Computación. -
Relevant data representation by a Kernel-based framework
Álvarez Meza, Andrés MarinoNowadays, the analysis of a large amount of data has emerged as an issue of great interest taking increasing place in the scientific community, especially in automation, signal processing, pattern recognition, and machine ...Universidad Nacional de Colombia Sede Manizales Facultad de Ingeniería y Arquitectura Departamento de Ingeniería Eléctrica, Electrónica y Computación. -
Relevant multichannel time series representation based on functional measures in RKHS
Pulgarín Giraldo, Juan DiegoKernels methods provide a powerful and unifying framework to solve nonlinear problems while retaining in many cases, the simplicity of linear solutions. However, in machine learning and kernels methods, data is assumed to ...