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2018
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.  (2.08 MB)
2017
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. 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)
Monireh Ebrahimi, Amir Hossein Yazdavar, Amit Sheth. On the Challenges of Sentiment Analysis for Dynamic Events. IEEE Intelligent Systems. IEEE; 2017 ;.  (548.69 KB)
Raminta Daniulaityte, Francois R. Lamy, Monica Barratt, Ramzi W. Nahhas, Silvia S. Martins, Edward W. Boyer, Amit Sheth, Robert G. Carlson. Characterizing marijuana concentrate users: A web-based survey. Drug and Alcohol Dependence. Elsevier; 2017 ;.
Andrew Hampton, Shreyansh Bhatt, Alan Smith, Jeremy Brunn, Hemant Purohit, Valerie Shalin, John Flach, Amit Sheth. 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)
Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth. Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case. In IEEE Conference on Big Data. Boston, MA, USA; 2017. Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, and Amit Sheth. "Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case." 2017 IEEE International Conference on Big Data (Accepted).
Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, and Amit Sheth. "Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case." 2017 IEEE International Conference on Big Data (Accepted).
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Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. 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)
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Gaur M, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. Chapman and Hall. Data Mining and Knowledge Discovery Series; 2017. p. 35. Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. "Feature Engineering for Twitter-based Applications", in Feature Engineering for Machine Learning and Data Analytics. Editors. Guozhu Dong and Huan Liu. Chapman and Hall/CRC Data Mining and Knowledge Discovery Series. December 2017.
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. "Feature Engineering for Twitter-based Applications", in Feature Engineering for Machine Learning and Data Analytics. Editors. Guozhu Dong and Huan Liu. Chapman and Hall/CRC Data Mining and Knowledge Discovery Series. December 2017.
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Francois R. Lamy, Raminta Daniulaityte, Ramzi W. Nahhas, Monica J. Barratt, Alan G. Smith, Amit Sheth, Silvia S. Martins, Edward W. Boyer, Robert G. Carlson. Increases in synthetic cannabinoids-related harms: Results from a longitudinal web-based content analysis. International Journal of Drug Policy. Elsevier; 2017 ;44:121-129.
Utkarshani Jaimini, Tanvi Banerjee, William Romine, Krishnaprasad Thirunarayan, Amit Sheth, Maninder Kalra. Investigation of an Indoor Air Quality Sensor for Asthma Management in Children. IEEE Sensors Letters. IEEE; 2017 ;1(2):1-4.  (239.26 KB)
Tanvi Banerjee, Amit Sheth. IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73.  (1.89 MB)
Revathy Venkatramanan, Utkarshani Jaimini, Amit Sheth, Joon K Shim, Priti Parikh, Dene S Berman. kHealth Bariatrics: A Multisensory Approach to Monitoring Patients' Postsurgical Behavior. WSU Celebration of Research, Scholarship, and Creative Activities 2017; 2017.  (436.88 KB)
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)
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. 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)
Mahdavinejad MSaeid, Rezvan M, Barekatain M, Adibi P, Payam Barnaghi, Amit P. Sheth. Machine Learning for Internet of Things Data Analysis: A Survey. Digital Communication and Networks [Internet]. ELSEVIER; 2017 ;. http://www.sciencedirect.com/science/article/pii/S235286481730247X (673.83 KB)
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit P. 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)
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In International Joint Conference on Artificial Intelligence 2017 (IJCAI-17). Melbourne, Australia; 2017.  (271.38 KB)
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 KB)
Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit Sheth. 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)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. 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)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Bajaj G, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. 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), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
Pankesh Patel, Ali MIntizar, Amit Sheth. On Using the Intelligent Edge for IoT Analytics. IEEE Intelligent Systems [Internet]. IEEE; 2017 ;32(5):64-69. http://ieeexplore.ieee.org/document/8070894/ (1.15 MB)
Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth. 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.
2016
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. 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)
Amelie Gyrard, Pankesh Patel, Amit Sheth, Martin Serrano. Building the Web of Knowledge with Smart IoT Applications. IEEE Intelligent Systems. IEEE; 2016 ;32(5).  (379.84 KB)
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. 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)
Nehal Shah, Amit Sheth, Shreyansh Bhatt, Raxit Goswami, Vatsal Shah, Rahil Kanani, Amrish Patel, Parth Pathak. Data Processing System and Method for Computer-Assisted Coding of Natural Language Medical Text. USA: ezDI, LLC; 2016.  (231.65 KB)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: A Machine Readable Emoji Sense Inventory. Wright Brother's Day, Wright State University. Dayton, Ohio, USA; 2016 .  (66.92 KB) (815.49 KB)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: Building a Machine Readable Sense Inventory for Emoji. Emma Spiro, Yong-Yeol Ahn. 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA: Springer International Publishing; 2016. p. 527-541.  (712.1 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.  (2.02 MB)
Vinh Nguyen, Jyoti Leeka, Olivier Bodenreider, Amit Sheth. A Formal Graph Model for RDF and Its Implementation. CoRR. 2016 ;abs/1606.00480.  (701.27 KB)
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. First Monday. 2016 ;21(1-4).
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)
Sarasi Lalithsena, Pavan Kapanipathi, Amit Sheth. 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)
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit Sheth, Krishnaprasad Thirunarayan. Implicit Entity Linking in Tweets. Extended Semantic Web Conference. Heraklion, Crete, Greece : Springer; 2016. p. 118-132.  (365.33 KB) (530.27 KB)
Amit Sheth. Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
Amit Sheth, Sujan Perera, Sanjaya Wijeratne. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. 2016 .  (994.44 KB)
Nishita Jaykumar, PavanKalyan Yallamelli, Vinh Nguyen, Sarasi Lalithsena, Krishnaprasad Thirunarayan, Amit Sheth. 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)
Amit Sheth. Ontology-enabled Healthcare Applications Exploiting Physical-Cyber-Social Big Data. In Ontology Summit 2016. Virtual; 2016.
Payam Barnaghi, Amit Sheth. On Searching the Internet of Things: Requirements and Challenges. IEEE Intelligent Systems. IEEE; 2016 ;32(6):71-75.
Amit Sheth, Pramod Anantharam, Cory Henson. Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience. Computer. IEEE; 2016 ;49(3):64-72.  (459.58 KB)
Amit Sheth. Semantic, Cognitive, and Perceptual Computing – Three Intertwined Strands of a Golden Braid of Intelligent Computing. International Summer School on Web Science and Technology (WebST2016). Bilbao, Spain; 2016.
Amit Sheth, Pavan Kapanipathi. Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78.  (342.08 KB)
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Signals Revealing Street Gang Members on Twitter. In Workshop on Computational Approaches to Social Modeling (ChASM 2016) co-located with 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA, USA; 2016.  (939.06 KB)
Edward Curry, Schahram Dustdar, Quan Sheng, Amit Sheth. Smart Cities – Enabling Services and Applications. Journal of Internet Services and Applications. SpringerOpen; 2016 ;7(6).  (400.32 KB)
Raminta Daniulaityte, Robert Carlson, Gregory Brigham, Delroy Cameron, Amit Sheth. A Study of Social Web Data on Buprenorphine Abuse Using Semantic Web Technology. Fairborn: Wright State University; 2016 .  (484.2 KB)
Pankesh Patel, Amelie Gyrard, Dhavalkumar Thakker, Amit Sheth, Martin Serrano. 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)
Francois 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)
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)

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