Library
. empathi: An ontology for Emergency Managing and Planning about Hazard Crisis. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. 
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(519.08 KB). Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. In The Web Conference 2019. San Francisco, CA, USA: Association for Computing Machinery; 2019. (1.31 MB)
(1.31 MB). Metrics for Evaluating Quality of Embeddings for Ontological Concepts. In AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering . Palo Alto, California : AAAI; 2019. (824.92 KB)
(824.92 KB). Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019. (553.39 KB)
(553.39 KB). 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). Building IoT based applications for Smart Cities: How can ontology catalogs help?. IEEE Internet of Things Journal. IEEE; 2018 ;:1-1. (598.21 KB)
(598.21 KB). Concept Extraction from the Web of Things Knowledge Bases. In International Conference WWW/Internet 2018. 21-23 October 2018 Budapest, Hungary: Elsevier; 2018. (239.15 KB)
(239.15 KB). Correlating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System. In procedings of the American Thoracic Society (ATS) International Conference; 2018. 
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(412.7 KB). Creating Real-Time Dynamic Knowledge Graphs. International Semantic Web Research School (ISWS) 2018, Bertinoro, Italy; 2018. (425.29 KB)
(425.29 KB). Demo Track Chairs' Welcome and Organization. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 123–125. (816.54 KB)
(816.54 KB). Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018. (199.49 KB)
(199.49 KB). D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). Seattle, Washington: ACM; 2018. (1.32 MB)
(1.32 MB). eDarkTrends update: New synthetic opiods identified on two cryptomarkets. 2018 . 
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(423.29 KB). Enhancing crowd wisdom using explainable diversity inferred from social media. In IEEE/WIC/ACM International Conference on Web Intelligence. Santiago, Chile: IEEE; 2018. (313.8 KB)
(313.8 KB). Feasibility of Recording Sleep Quality And Sleep Duration Using Fitbit in Children with Asthma. 32nd Annual Meeting of the Associated Professional Sleep Societies (SLEEP), 2-6 June 2018, Baltimore, MD; 2018. (650.88 KB)
(650.88 KB). Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393. (684.81 KB)
(684.81 KB). A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet. College of Engineering and Computer Science. [Dayton]: Wright State University; 2018. p. 111.
. ``How Is My Child's Asthma?'' Digital Phenotype and Actionable Insights for Pediatric Asthma. JMIR Pediatr Parent. JMIR Pediatr Parent; 2018 ;1:e11988. (1.03 MB)
(1.03 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). kHealth: A Personalized Healthcare approach for Pediatric Asthma. NSF Smart Health Workshop; 2018. (702.7 KB)
(702.7 KB). Khealth Digital Personalized Healthcare technology for Pediatric Asthma. mHealth Technology Showcase, National Institute of Health- June 2018; 2018. (1.83 MB)
(1.83 MB). Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 1935–1936. (379.98 KB)
(379.98 KB). Knowledge-empowered real-time event-centric situational analysis. NSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018; 2018. (1.61 MB)
(1.61 MB). "Let Me Tell You About Your Mental Health!" Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. In The 27th ACM International Conference on Information and Knowledge Management (CIKM’18). Torino, Italy: Association for Computing Machinery; 2018. (335.44 KB)
(335.44 KB). Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. In Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA: Association for Computational Linguistics; 2018. p. 1986–1997. (663.03 KB)
(663.03 KB). Personalized Health Knowledge Graph. In Contextualized Knowledge Graph (CKG) Workshop International Semantic Web Conference (ISWC) 2018. Monterey, California, USA: LNCS; 2018. (861.22 KB) (371.57 KB)
(861.22 KB) (371.57 KB). Personalized Prediction of Suicide Risk for Web-based Intervention. 24th NIMH Conference on Mental Health Services Research (MHSR); 2018. (1.33 MB)
(1.33 MB). Poster: Image Disguising for Privacy-preserving Deep Learning. ACM Conference on Computer and Communications Security (CCS) 2018; 2018. (1.04 MB)
(1.04 MB). Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. p. 39-79. (514.1 KB)
(514.1 KB). 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 Semantically Enhance Approach to Identify Depression Indicative Symptoms Using Twitter Data. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2018. (1.42 MB)
(1.42 MB). Sensor Data Streams Correlation Platform for Asthma Management. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2018. (821.27 KB)
(821.27 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). "What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Santiago, Chile: IEEE; 2018. (902.96 KB)
(902.96 KB). Why Reinvent the Wheel-Let's Build Question Answering Systems Together. In The Web Conference (WWW 2018). Lyon, France; 2018.
. "You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates. Drug and Alcohol Dependence. 2018 ;183:248 - 252.
. Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017. (710.53 KB)
(710.53 KB). Adaptive Training Instance Selection for Cross-domain Emotion Identification. In Proceedings of the International Conference on Web Intelligence. New York, NY, USA: ACM; 2017. p. 525–532. (710.53 KB)
(710.53 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). On the Challenges of Sentiment Analysis for Dynamic Events. IEEE Intelligent Systems. IEEE; 2017 ;. (548.69 KB)
(548.69 KB). Characterizing marijuana concentrate users: A web-based survey. Drug and Alcohol Dependence. Elsevier; 2017 ;.
. Constructing Synthetic Social Media Stimuli for an Emergency Preparedness Functional Exercise. In 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017). Albi, Occitanie Pyrénées-Méditerranée, France; 2017. (1.56 MB)
(1.56 MB). Discovering Explanatory Models to Identify Relevant Tweets on Zika. In 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017). Jeju Island, Republic of Korea: IEEE ; 2017. (131.86 KB)
(131.86 KB). Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case. In IEEE Conference on Big Data. Boston, MA, USA; 2017.
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(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). EmojiNet: An Open Service and API for Emoji Sense Discovery. In 11th International AAAI Conference on Web and Social Media (ICWSM 2017). Montreal, Canada; 2017. p. 437-446. (5.69 MB)
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