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    Chapter and Conference Paper

    A Robust Feature Selection Method for Classification of Cognitive States with fMRI Data

    The functional magnetic resonance imaging (fMRI) technique is a powerful imaging tool for analyzing the brain activity by localizing patterns of activity related to specific mental processes. Recently, researc...

    Luu-Ngoc Do, Hyung-Jeong Yang in Advances in Computer Science and its Applications (2014)

  2. No Access

    Article

    A multi-voxel-activity-based feature selection method for human cognitive states classification by functional magnetic resonance imaging data

    Nowadays, various kinds of signals and data were collected to investigate human brain’s activities for disease detection. In particular, the functional magnetic resonance imaging (fMRI) provides a powerful too...

    Luu-Ngoc Do, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee in Cluster Computing (2015)

  3. Article

    Open Access

    Deep neural network-based fusion model for emotion recognition using visual data

    In this study, we present a fusion model for emotion recognition based on visual data. The proposed model uses video information as its input and generates emotion labels for each video sample. Based on the vi...

    Luu-Ngoc Do, Hyung-Jeong Yang, Hai-Duong Nguyen in The Journal of Supercomputing (2021)