Library
. 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. 
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(2.08 MB). 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). 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. (5.69 MB)
(5.69 MB). Increases in synthetic cannabinoids-related harms: Results from a longitudinal web-based content analysis. International Journal of Drug Policy. Elsevier; 2017 ;44:121-129.
. Investigation of an Indoor Air Quality Sensor for Asthma Management in Children. IEEE Sensors Letters. IEEE; 2017 ;1(2):1-4. (239.26 KB)
(239.26 KB). IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73. (1.89 MB)
(1.89 MB). kHealth Bariatrics: A Multisensory Approach to Monitoring Patients' Postsurgical Behavior. WSU Celebration of Research, Scholarship, and Creative Activities 2017; 2017.
. A Knowledge Graph Framework for Detecting Traffic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017. (3.03 MB)
(3.03 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. (701.11 KB)
(701.11 KB). A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017. (754.03 KB)
(754.03 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). Relatedness-based Multi-Entity Summarization. In International Joint Conference on Artificial Intelligence 2017 (IJCAI-17). Melbourne, Australia; 2017. (271.38 KB)
(271.38 KB). Road Accidents Bigdata Mining and Visualization using Support Vector Machines. In The ICMLA 2017: 19th International Conference on Machine Learning and Applications. Copenhagen, Denmark; 2017. (236.14 KB)
(236.14 KB). RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. In 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, California; 2017. (1.08 MB)
(1.08 MB). A Semantics-Based Measure of Emoji Similarity. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. (2.34 MB)
(2.34 MB). Semantics-based Summarization of Entities in Knowledge Graphs. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2017. p. 145. (3.81 MB)
(3.81 MB). Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conferance on; 2017. (438.42 KB)
(438.42 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). A soft computing approach for benign and malicious web robot detection. Expert Systems with Applications [Internet]. ELSEVIER; 2017 ;87:129 - 140. http://www.sciencedirect.com/science/article/pii/S0957417417304116 (1.86 MB)
(1.86 MB). A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots. In: . Advances in Neural Networks - ISNN 2017 [Internet]. Cham: Springer International Publishing; 2017. p. 536–546. http://dx.doi.org/10.1007/978-3-319-59072-1_63 (664.35 KB)
(664.35 KB). Torpedo: Improving the State-of-the-Art RDF Dataset Slicing. In 11th International Conference on Semantic Computing (IEEE ICSC 2017). San Diego, California; 2017. (923.15 KB)
(923.15 KB). What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention. JMIR Public Health Surveillance. JMIR Publications; 2017 ;3:e38.
. Analyzing Clinical Depressive Symptoms in Twitter. In 23rd NIMH Conference on Mental Health Services Research (MHSR): Harnessing Science to Strengthen the Public Health Impact. Bethesda, MD; 2016. (1.98 MB)
(1.98 MB). Building the Web of Knowledge with Smart IoT Applications. IEEE Intelligent Systems. IEEE; 2016 ;32(5). (379.84 KB)
(379.84 KB). Characterizing Concepts in Taxonomy for Entity Recommendations. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2016. p. 59. (2.08 MB)
(2.08 MB). Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016. (299.4 KB)
(299.4 KB). Co-evolution of RDF Datasets. Computing Research Repository (CoRR). 2016 ;. (638 KB)
(638 KB). Data Processing System and Method for Computer-Assisted Coding of Natural Language Medical Text. USA: ezDI, LLC; 2016. (231.65 KB)
(231.65 KB). EmojiNet: A Machine Readable Emoji Sense Inventory. Wright Brother's Day, Wright State University. Dayton, Ohio, USA; 2016 . (66.92 KB) (815.49 KB)
(66.92 KB) (815.49 KB). EmojiNet: Building a Machine Readable Sense Inventory for Emoji. . 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA: Springer International Publishing; 2016. p. 527-541. (712.1 KB)
(712.1 KB). Exploring Term Networks for Semantic Search over RDF Knowledge Graphs. . Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Cham: Springer International Publishing; 2016. p. 249–261. (432.38 KB)
(432.38 KB). Features for Ranking Tweets Based on Credibility and Newsworthiness. In 17th International Conference on Collaboration Technologies and Systems (CTS 2016). Orlando, Florida, USA: IEEE Computer Society; 2016. p. 18-25. (215.93 KB)
(215.93 KB). Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. (2.02 MB)
(2.02 MB). A Formal Graph Model for RDF and Its Implementation. CoRR. 2016 ;abs/1606.00480. (701.27 KB)
(701.27 KB). 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. 
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(1.13 MB) (488 KB). Harnessing Relationships for Domain-specific Subgraph Extraction: A Recommendation Use Case. In IEEE International Conference on Big Data. Washington D.C.; 2016. (920.03 KB)
(920.03 KB). Identifying Offensive Videos on YouTube [Internet]. 2016. https://etd.ohiolink.edu/!etd.send_file?accession=wright1484751212961772&disposition=inline Rajeshwari Kandakatla: Identifying Offensive Videos on YouTube, MS Thesis, Wright State University, Dayton, OH, December 2016. (3.45 MB)
Rajeshwari Kandakatla: Identifying Offensive Videos on YouTube, MS Thesis, Wright State University, Dayton, OH, December 2016.
(3.45 MB). Identifying Tweets with Implicit Entity Mentions. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2016. p. 56. (566.8 KB)
(566.8 KB). Implicit Entity Linking in Tweets. Extended Semantic Web Conference. Heraklion, Crete, Greece : Springer; 2016. p. 118-132. (365.33 KB) (530.27 KB)
(365.33 KB) (530.27 KB). Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. 2016 . (994.44 KB)
(994.44 KB). Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123. (1.65 MB)
(1.65 MB). Knowledge-driven Search Intent Mining. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 180. (11.11 MB)
(11.11 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)
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