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Filters: Author is Pramod Anantharam [Clear All Filters]
. Trust Model for Semantic Sensor and Social Networks: A Preliminary Report. In National Aerospace & Electronics Conference (NAECON). Dayton, Ohio: In Proceedings of National Aerospace & Electronics Conference (NAECON); 2010. 
(285.32 KB)
(285.32 KB). Trust In Social and Sensor Networks. In Wright State University; 2010. 
(1.27 MB)
(1.27 MB). Topical Anomaly Detection for Twitter Stream. 2012. (197.27 KB)
(197.27 KB). Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016. (2.05 MB) (5.96 MB)
(2.05 MB) (5.96 MB). Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27. (2.5 MB)
(2.5 MB). Dynamic Update of Public Transport Schedules in Cities Lacking Traffic Instrumentation. IBM Research; 2014 .
. City Notifications as a Data Source for Traffic Management. In 20th ITS World Congress. Tokyo, Japan; 2013. (441.18 KB)
(441.18 KB). Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: modeling, annotation, integration, and perception. International Conference on Web Intelligence, Mining, and Semantics (WIMS '13). Madrid, Spain: ACM; 2013. (154.65 KB)
(154.65 KB). Predicting Parkinson's Disease Progression with Smartphone Data. 2013 . (533.62 KB)
(533.62 KB). Traffic Analytics using Probabilistic Graphical Models Enhanced with Knowledge Bases. In 2nd International Workshop on Analytics for Cyber-Physical Systems (ACS-2013) at SIAM International Conference on Data Mining (SDM 2013). Austin, Texas; 2013. (1.45 MB)
(1.45 MB). Utility-driven Evolution Recommender for a Constrained Ontology. In International Conference on Web Intelligence, Mining and Semantics (WIMS 2013). Madrid, Spain; 2013. (3.6 MB)
(3.6 MB). Knowledge-empowered Probabilistic Graphical Models For Physical-cyber-social Systems. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 172. (14.4 MB)
(14.4 MB). Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children. 2015 IEEE International Conference on Mobile Services. New York, NY: IEEE; 2015. p. 284 - 291. (1.31 MB)
(1.31 MB)