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user interfaces and Human Computer Interaction
John Miller, Amit Sheth, Krzysztof Kochut. Perspectives in Modeling: Simulation, Database and Workflow. In Conceptual Modeling: Lecture Notes in Computer Science. Berlin: Springer Berlin Heidelberg; 1999. p. 154-167.  (444.69 KB)
user feedback
Keke Chen, Jing Bai, Zhaohui Zheng. Ranking Function Adaptation With Boosting Trees. ACM Transactions on Information Systems. 2011 ;.  (437.8 KB)
User Engagement
Hemant Purohit. 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)
User Categorization
Lu Chen, Wenbo Wang, Amit Sheth. Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392.  (280.79 KB)
unobservable feature estimation
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
unigrams
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
UMLS MetaMap
Ashutosh Jadhav, Stephen Wu, Amit Sheth, Jyotishman Pathak. Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014.  (297.46 KB)
Ashutosh Jadhav, Stephen Wu, Amit Sheth, Jyotishman Pathak. What Information about Cardiovascular Diseases do People Search Online?. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014.  (121.33 KB)
UMLS
Semantic Browser. University of Georgia; 2006.  (847.98 KB)
Ultrametrics
Anthony K. Seda, Pascal Hitzler. Generalized Metrics and Uniquely Determined Logic Programs. Theoretical Computer Science. 2003 ;:187-219.  (419.06 KB)
Ubiquitous Computing
Charu Aggarwal, Naveen Ashish, Amit Sheth. The Internet of Things: A Survey from the Data-Centric Perspective. In: Charu Aggarwal. Managing and Mining Sensor Data. New York: Springer US; 2012. p. 383-428.
Type assignment
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone P. Ponzetto, Christoph Lange. 13th International Conference, ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 85-100.  (1.13 MB) (488 KB)
twitter traffic event
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. 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)
Twitter Profile Identification
Lakshika Balasuriya. Finding Street Gang Member Profiles on Twitter. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2017. p. 67.  (2.57 MB)
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. 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. p. 685-692.  (2.02 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
Twitter Noise Filtering
Bahareh Heravi, Sanjaya Wijeratne. A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter. In 1st Insight Student Conference. Dublin, Ireland: University College Dublin; 2014.  (85.5 KB)
Twitter Gangs
Lakshika Balasuriya. Finding Street Gang Member Profiles on Twitter. Computer Science and Engineering. [Dayton]: Wright State University; 2017. p. 67.
twitter features
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. 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)
Twitter Analytics
Lu Chen, Wenbo Wang, Amit Sheth. Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392.  (280.79 KB)
twitter
Raminta Daniulaityte, Ramzi Nahhas, Sanjaya Wijeratne, Robert Carlson, Francois R. Lamy, Silvia Martins, Edward Boyer, Gary Alan Smith, Amit Sheth. "Time for dabs": Analyzing Twitter data on marijuana concentrates across the U.S. Drug and Alcohol Dependence. 2015 ;155:307-311.
Pavan Kapanipathi, Alexandre Passant, Pablo Mendes. Twarql: Tapping into the Wisdom of the Crowd. In Triplification Challenge 2010. 6th International Conference on Semantic Systems (I-SEMANTICS); 2010.  (157.11 KB)
Pablo N. Mendes, Alex Passant, Pavan Kapanipathi, Amit Sheth. Linked Open Social Signals. In International Conference on Web Intelligence. Toronto, Canada: IEEE/WIC/ACM International Conference on Web Intelligence (WI-10); 2010.  (526.46 KB)
Justin Martineau, Lu Chen, Doreen Cheng, Amit Sheth. Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy. 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014). Baltimore, MD; 2014.  (179.11 KB)
Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth, Krishnaprasad Thirunarayan. Knowledge Enabled Approach to Predict the Location of Twitter Users. Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann. 12th European Semantic Web Conference (ESWC 2015). Portoroz, Slovenia: Springer International Publishing; 2015. p. 187-201.  (790.96 KB)
Shreyansh Bhatt, Manas Gaur, Beth Bullemer, Valerie Shalin, Amit Sheth, Brandon Minnery. 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)
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
Ashutosh Jadhav, Swapnil Soni, Amit Sheth. Social Health Signals. In International Semantic Web Conference 2015 (ISWC 2015). Bethlehem, Pennsylvania; 2015.  (183.28 KB)
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. Hierarchical Interest Graph from Tweets. Kyuseok Shim, Torsten Suel. 3rd International World Wide Web Conference. Seoul, South Korea: ACM; 2014.  (248.6 KB)
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. User Interests Identification on Twitter Using a Hierarchical Knowledge Base. Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo DiLorio, Tommaso DiNoia, Christoph Lange, Diego Reforgiato-Recupero, Anna Tordai. 11th Extended Semantic Web Conference (ESWC 2014). Crete, Greece: Springer International Publishing; 2014. p. 99-113.  (961.33 KB)
Raminta Daniulaityte, Lu Chen, Francois R. Lamy, Robert Carlson, Krishnaprasad Thirunarayan, Amit Sheth. "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
Francois R. Lamy, Raminta Daniulaityte, Amit Sheth, Ramzi Nahhas, Silvia Martins, Edward Boyer, Robert Carlson. "Those edibles hit hard": Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence. 2016 ;:64-70.  (731.83 KB)
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. 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)
Sanjaya Wijeratne. 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.
Swapnil Soni. Domain-specific Document Retrieval Framework on Near Real-time Social Health Data. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 63.  (649.25 KB)
Hemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit Sheth. Finding Influential Authors in Brand-Page Communities. 2012.  (369.22 KB)

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