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Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants., , , , , , , , and . IEEE Trans. Big Data, 6 (2): 334-346 (2020)SecureFind: Secure and Privacy-Preserving Object Finding via Mobile Crowdsourcing., , , and . IEEE Trans. Wirel. Commun., 15 (3): 1716-1728 (2016)Your actions tell where you are: Uncovering Twitter users in a metropolitan area., , , and . CNS, page 424-432. IEEE, (2015)Your face your heart: Secure mobile face authentication with photoplethysmograms., , , , , and . INFOCOM, page 1-9. IEEE, (2017)Low Overhead Cyclostationary Signatures Based on Hopping Subcarrier in OFDM-Based Dynamic Spectrum Access Networks., , , , and . VTC Fall, page 1-5. IEEE, (2011)TouchIn: Sightless two-factor authentication on multi-touch mobile devices., , , and . CNS, page 436-444. IEEE, (2014)Spot-on: A Checkpointing Framework for Fault-Tolerant Long-running Workloads on Cloud Spot Instances., , , , and . CoRR, (2022)Generalized Likelihood Ratio Test For Cyclostationary Multi-Antenna Spectrum Sensing., , , , and . KSII Trans. Internet Inf. Syst., 8 (8): 2763-2782 (2014)TrueTop: A Sybil-Resilient System for User Influence Measurement on Twitter., , , , and . IEEE/ACM Trans. Netw., 24 (5): 2834-2846 (2016)POWERFUL: Mobile app fingerprinting via power analysis., , , , and . INFOCOM, page 1-9. IEEE, (2017)