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INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping., , , , , , , and . Vis. Informatics, 7 (2): 13-29 (June 2023)The effects of loss and latency on user performance in unreal tournament 2003®., , , , , and . NETGAMES, page 144-151. ACM, (2004)Domain Adaptation Methods for Lab-to-Field Human Context Recognition., , , , , , and . Sensors, 23 (6): 3081 (March 2023)Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection., , , and . ICDH, page 122-132. IEEE, (2021)A smartphone-based digital hearing aid to mitigate hearing loss at specific frequencies., , , , , and . MMA@SenSys, page 1-5. ACM, (2014)Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets., , , , , , , , and . ICMLA, page 1010-1015. IEEE, (2021)A middleware architecture for mobile 3D graphics., , , , and . IJPEDS, 21 (3): 183-197 (2006)Deep Video Action Recognition Models for Assessing Cardiac Function from Echocardiograms., , , and . IEEE Big Data, page 5189-5199. IEEE, (2022)HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition., , , , and . IEEE Big Data, page 5233-5242. IEEE, (2022)DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM AutoEncoders., , , and . IEEE BigData, page 4911-4918. IEEE, (2020)