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Topic-Aware Physical Activity Propagation in a Health Social Network.

, , , , and . IEEE Intelligent Systems, 31 (1): 5-14 (2016)

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Ontology-based deep learning for human behavior prediction with explanations in health social networks., , , , and . Inf. Sci., (2017)c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation., , , , and . IEEE BigData, page 927-937. IEEE, (2021)Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction., , , and . AAAI, page 1309-1316. AAAI Press, (2016)All in One: Mining Multiple Movement Patterns., , and . International Journal of Information Technology and Decision Making, 15 (5): 1115-1156 (2016)Extracting API tips from developer question and answer websites., , , and . MSR, page 321-332. IEEE / ACM, (2019)Importance Sketching of Influence Dynamics in Billion-Scale Networks., , , and . ICDM, page 337-346. IEEE Computer Society, (2017)Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention., , , , and . CSoNet, volume 11917 of Lecture Notes in Computer Science, page 229-245. Springer, (2019)An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere., , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 163-167. IOS Press, (2019)Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets., , , , , , , , and . CSoNet, volume 11280 of Lecture Notes in Computer Science, page 330-342. Springer, (2018)Evaluating Explainers via Perturbation., , , , and . CoRR, (2019)