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. Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study. JMIR Pediatr Parent. 2019 ;2:e14300. 
(472.52 KB)
(472.52 KB). Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study. JMIR Pediatr Parent. 2019 ;2:e14300. (472.52 KB)
(472.52 KB). Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study. JMIR Pediatr Parent. 2019 ;2:e14300. (472.52 KB)
(472.52 KB). kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.
. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.
. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.
. Augmented Personalized Health: Using Semantically Integrated Multimodal Data for Patient Empowered Health Management Strategies. mHealth Technology Showcase, National Institute of Health- June 2018; 2018. (1.44 MB)
(1.44 MB). How Will the Internet of Things Enable Augmented Personalized Health?. IEEE Intelligent Systems. IEEE; 2018 ;33(1). (1.07 MB)
(1.07 MB). How Will the Internet of Things Enable Augmented Personalized Health?. IEEE Intelligent Systems. IEEE; 2018 ;33(1). (1.07 MB)
(1.07 MB). IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7. (230.68 KB)
(230.68 KB). Poster: Image Disguising for Privacy-preserving Deep Learning. ACM Conference on Computer and Communications Security (CCS) 2018; 2018. (1.04 MB)
(1.04 MB). Privacy-Preserving Boosting with Random Linear Classifiers. ACM Conference on Computer and Communications Security (CCS) 2018; 2018. (724.46 KB)
(724.46 KB). A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. In Proceedings of the 10th {ACM} Conference on Web Science, WebSci 2018, Amsterdam, The Netherlands, May 27-30, 2018. Amsterdam, The Netherlands: ACM; 2018. p. 33–36. (398.25 KB)
(398.25 KB). A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. In Proceedings of the 10th {ACM} Conference on Web Science, WebSci 2018, Amsterdam, The Netherlands, May 27-30, 2018. Amsterdam, The Netherlands: ACM; 2018. p. 33–36. (398.25 KB)
(398.25 KB). Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. IEEE; 2018. p. 42-51. (4.26 MB)
(4.26 MB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23. (1.18 MB)
(1.18 MB). Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. JAMIA Open. 2018 ;:1-13. (550.45 KB)
(550.45 KB). Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017. (389.45 KB)
(389.45 KB). Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case. In IEEE Conference on Big Data. Boston, MA, USA; 2017.
(846.65 KB)
(846.65 KB). eAssistant: Cognitive Assistance for Identification and Auto-Triage of Actionable Conversations. In 26th International World Wide Web Conference (WWW 2017). Perth, Australia; 2017. (1.42 MB)
(1.42 MB). Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9. (701.11 KB)
(701.11 KB). PhD Forum: Multimodal IoT and EMR Based Smart Health Application for Asthma Management in Children. In 2017 IEEE International Conference on Smart Computing (SMARTCOMP). Hong Kong, China: IEEE; 2017. (119.37 KB)
(119.37 KB). PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Atlanta,GA,USA; 2017. p. 2507-2510. (450.54 KB)
(450.54 KB). PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Atlanta,GA,USA; 2017. p. 2507-2510. (450.54 KB)
(450.54 KB). Sentinels of breach: Lexical choice as a measure of urgency in social media. Human factors. Sage Publications Sage CA; 2017 ;59(4):505-519. (932.81 KB)
(932.81 KB). Building the Web of Knowledge with Smart IoT Applications. IEEE Intelligent Systems. IEEE; 2016 ;32(5). (379.84 KB)
(379.84 KB). Building the Web of Knowledge with Smart IoT Applications. IEEE Intelligent Systems. IEEE; 2016 ;32(5). (379.84 KB)
(379.84 KB). Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. . 13th International Conference, ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 85-100. 
(1.13 MB) (488 KB)
(1.13 MB) (488 KB). Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
. Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
. KnowledgeWiki: An OpenSource Tool for Creating Community-Curated Vocabulary, with a Use Case in Materials Science. In World Wide Web 2016. Montreal, Canada; 2016. (904.53 KB) (1.82 MB)
(904.53 KB) (1.82 MB). Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. Asia Conference on Computer and Communications Security 2016. Xi'an, China: ACM; 2016. p. 71-82.
. Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience. Computer. IEEE; 2016 ;49(3):64-72. (459.58 KB)
(459.58 KB). SWoTSuite: A Toolkit for Prototyping Cross-domain Semantic Web of Things Applications. 15th International Semantic Web Conference (ISWC 2016). Kobe, Japan: CEUR ; 2016. (459.68 KB)
(459.68 KB). Analyzing the Social Media Footprint of Street Gangs. In 2015 IEEE International Conference on Intelligence and Security Informatics (ISI). Baltimore, MD: IEEE; 2015. p. 91-96. (1.26 MB)
(1.26 MB). Context-driven automatic subgraph creation for literature-based discovery. Journal of Biomedical Informatics. 2015 ;54:141-157. (2.37 MB)
(2.37 MB). Contrast Pattern Aided Regression and Classification. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 120. (1.43 MB)
(1.43 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). Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 . (955.68 KB)
(955.68 KB). Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 . (955.68 KB)
(955.68 KB). Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 . (955.68 KB)
(955.68 KB). Intent Classification of Short-Text on Social Media. In SocialCom 2015: 8th IEEE International Conference on Social Computing and Networking. Chengdu, China: IEEE; 2015. (485.79 KB)
(485.79 KB). Knowledge Enabled Approach to Predict the Location of Twitter Users. . 12th European Semantic Web Conference (ESWC 2015). Portoroz, Slovenia: Springer International Publishing; 2015. p. 187-201. (790.96 KB)
(790.96 KB). 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). Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154. (6.65 MB)
(6.65 MB). Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154. (6.65 MB)
(6.65 MB). Physical-Cyber-Social Computing: Looking Back, Looking Forward. IEEE Internet Computing. 2015 ;19(3):7-11.