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Detecting Physiological Changes in Response to Sudden Events in Driving: A Nonlinear Dynamics Approach.

, , , , and . AIM, page 1537-1542. IEEE, (2020)

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Detecting Physiological Changes in Response to Sudden Events in Driving: A Nonlinear Dynamics Approach., , , , and . AIM, page 1537-1542. IEEE, (2020)An Enhanced Imputation Approach for Spatio-Temporal Clinical Data., and . CASE, page 813-818. IEEE, (2022)An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples., , , , , , , , , and . BCB, page 392-399. ACM, (2012)Information-Theoretic Based Feature Selection for Multi-Voxel Pattern Analysis of fMRI Data., , , , , and . Brain Informatics, volume 7670 of Lecture Notes in Computer Science, page 196-208. Springer, (2012)Recognizing affective state patterns using regularized learning with nonlinear dynamical features of EEG., and . BHI, page 137-140. IEEE, (2018)Brain response pattern identification of fMRI data using a particle swarm optimization-based approach., , , and . Brain Informatics, 3 (3): 181-192 (2016)Graph Theoretic Compressive Sensing Approach for Classification of Global Neurophysiological States from Electroencephalography (EEG) Signals., , , , , and . BIH, volume 9919 of Lecture Notes in Computer Science, page 42-51. (2016)An Embedded Machine Learning Model for Early Detection and Intervention of High-Risk Intensive Care Unit Readmission Patients., , , and . BIBM, page 1544-1549. IEEE, (2022)A combinatorial optimization approach for multi-label associative classification., and . Knowl. Based Syst., (2022)Classification Analysis of Chronological Age Using Brief Resting Electroencephalographic (EEG) Recordings., , , , , and . BIH, volume 9250 of Lecture Notes in Computer Science, page 96-104. Springer, (2015)