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2018
Amit Sheth, Hong Yung Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra. 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)
Amelie Gyrard, Antoine Zimmermann, Amit Sheth. Building IoT based applications for Smart Cities: How can ontology catalogs help?. IEEE Internet of Things Journal. IEEE; 2018 ;:1-1.  (598.21 KB)
Amit Sheth, Tanvi Banerjee, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Krishnaprasad Thirunarayan, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra. Correlating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System. 2018.  (412.7 KB)
Swati Padhee, Sarasi Lalithsena, Amit Sheth. Creating Real-Time Dynamic Knowledge Graphs. International Semantic Web Research School (ISWS) 2018, Bertinoro, Italy; 2018.  (425.29 KB)
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. 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)
Shruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy. 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)
Francois R. Lamy, Raminta Daniulaityte, Amit Sheth, Robert Carlson, Ramzi W. Nahhas, Monica Barratt, Usha Lokala. eDarkTrends update: New synthetic opiods identified on two cryptomarkets. 2018 .  (423.29 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)
Amit Sheth, Hong Yung Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra. 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)
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)
Amit Sheth, Utkarshani Jaimini, Hong Yung Yip. How Will the Internet of Things Enable Augmented Personalized Health?. IEEE Intelligent Systems. IEEE; 2018 ;33(1).  (1.07 MB)
Amit Sheth, Biplav Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7.  (230.68 KB)
Utkarshani Jaimini, Hong Yung Yip, Venkatraman R, Dipesh Kadariya, Vaikunth Sridharan, Thirunarayan Krishnaprasad, Maninder Kalra, Amit Sheth. kHealth: A Personalized Healthcare approach for Pediatric Asthma. NSF Smart Health Workshop; 2018.  (702.7 KB)
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)
Amelie Gyrard, Manas Gaur, Swati Padhee, Amit Sheth, Juganaru-Mathieu M. 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)
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)
Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak. "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)
Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth. 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)
Amelie Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Amit Sheth. 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)
Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit Sheth. Personalized Prediction of Suicide Risk for Web-based Intervention. 24th NIMH Conference on Mental Health Services Research (MHSR); 2018.  (1.33 MB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, Ismailcem Budak Arpinar. 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)
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth. 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)
Sagar Sharma, Keke Chen, Amit Sheth. Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. IEEE; 2018. p. 42-51.  (4.26 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)
Joseph J Deferio, Tomer T Levin, Judith Cukor, Samprit Banerjee, Rozan Abdulrahman, Amit Sheth, Neel Mehta, Jyotishman Pathak. Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. JAMIA Open. 2018 ;:1-13.  (550.45 KB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit Sheth, I. Budak Arpinar. "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)
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.
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. 2018. p. 248-252.
2017
Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth. Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017.  (710.53 KB)
Wang W, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth. 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)
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 (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
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 (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
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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. p. 437-446.  (5.69 MB)
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. p. 1-9.  (701.11 KB)
Mahdavinejad MSaeid, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam Barnaghi, Amit 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 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. p. 646-653.  (2.34 MB)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, 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, Muhammad Intizar Ali, 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)

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