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2019
Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Thirunarayam K, Amelie Gyrard, Randall Hand, Jyotishman Pathak, Amit Sheth. Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019.  (553.39 KB)
2018
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)
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, 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, 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.
Utkarshani Jaimini, Hong Yung Yip, Revathy Venkataramanan, Dipesh Kadariya, Vaikunth Sridharan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Manindar Kalra, Amit Sheth. Khealth Digital Personalized Healthcare technology for Pediatric Asthma. mHealth Technology Showcase, National Institute of Health- June 2018; 2018.  (1.83 MB)
Amit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin. 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)
Amit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin. 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)
Amit Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23.  (1.18 MB)
Francois R. Lamy, Raminta Daniulaityte, Mussah Zatreh, Ramzi W. Nahhas, Amit Sheth, Silvia S. Martins, Edward W. Boyer, Robert G. Carlson. "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.
2017
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. Finding Street Gang Member Profiles on Twitter. Computer Science and Engineering. [Dayton]: Wright State University; 2017. p. 67.
Lakshika Balasuriya. Finding Street Gang Member Profiles on Twitter. Computer Science and Engineering. [Dayton]: Wright State University; 2017. p. 67.
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic 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)
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic 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)
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit Sheth. 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)
Utkarshani Jaimini. 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)
2016
Ross Jacob, Thirunarayan Krishnaprasad. 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)
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)
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)
Ashutosh Jadhav. Knowledge-driven Search Intent Mining. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 180.  (11.11 MB)
Amit Sheth, Pavan Kapanipathi. Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78.  (342.08 KB)
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)
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)
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)
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)
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)
Kamer Yuksel, Sergio Biggemann, Amit Sheth, Jeremy Brunn. Using Social Media Data to Understand Brand Development. In 2016 Direct/Interactive Marketing Research Summit. Los Angeles, CA: Marketing EDGE; 2016.  (135.98 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.
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)
2015
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)
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)
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie Shalin, Nayanesh Bhandutia, Amit Sheth. Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 .  (955.68 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)
Nathan Rude, Derek Doran. Request Type Prediction for Web Robot and Internet of Things Traffic. 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). Miami, FL: IEEE; 2015. p. 995 - 1000.
Ashutosh Jadhav, Swapnil Soni, Amit Sheth. Social Health Signals. In International Semantic Web Conference 2015 (ISWC 2015). Bethlehem, Pennsylvania; 2015.  (183.28 KB)
Ashutosh Jadhav, Swapnil Soni, Amit Sheth. Social Health Signals. In International Semantic Web Conference 2015 (ISWC 2015). Bethlehem, Pennsylvania; 2015.  (183.28 KB)
Raminta Daniulaityte, Robert Carlson, Farahnaz Golroo, Sanjaya Wijeratne, Edward Boyer, Silvia Martins, Ramzi Nahhas, Amit Sheth. "Time for dabs": Analyzing Twitter data on butane hash oil use. In College on Problems of Drug Dependence CPDD 2015. Phoenix, Arizona; 2015.  (87.2 KB)
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.
Krishnaprasad Thirunarayan. Trust Management: Multimodal Data Perspective, Invited Tutorial. In 2015 International Conference on Collaboration Technologies and Systems (CTS 2015). Atlanta, Georgia; 2015.  (3.23 MB)
Huda Alhazmi, Swapna Gokhale, Derek Doran. Understanding Social Effects in Online Networks. In International Symposium on Social Computing and Semantic Data Mining. Anaheim, California; 2015.  (209.63 KB)
2014
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)
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
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.
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.
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.
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)

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