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Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance.

, , , , and . KDD, page 4733-4742. ACM, (2022)

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øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder., , , , , , , , and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 133-146. PMLR, (2023)Graph Neural Networks in IoT: A Survey., , , , , , , , , and . CoRR, (2022)PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data., , , and . SenSys, page 835-836. ACM, (2022)A vehicle tracking algorithm combining detector and tracker., , , , , and . EURASIP J. Image Video Process., 2020 (1): 17 (2020)Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing., , , , and . CoRR, (2023)Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance., , , , and . KDD, page 4733-4742. ACM, (2022)Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction., , and . ICLR, OpenReview.net, (2022)Graph Neural Networks in IoT: A Survey., , , , , , , , , and . ACM Trans. Sens. Networks, 19 (2): 47:1-47:50 (May 2023)Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline., , , , , , , , and . EMBC, page 1-6. IEEE, (2023)Method of Curriculum Development for Enterprise University - University of UFIDA., and . ICEE, page 975-978. IEEE Computer Society, (2010)