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. Active Semantic Electronic Medical Records. In 2008. 
(360.81 KB)
(360.81 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). Optimal Adaptation in Autonomic Web Processes with Inter-Service Dependencies. 2005. (384.57 KB)
(384.57 KB). Demo: Approximate Semantic Matching in the COLLIDER Event Processing Engine. 7th ACM International Conference on Distributed Event-Based Systems (DEBS '13). Arlington, Texas; 2013. (494.76 KB)
(494.76 KB). RASP: Efficient Multidimensional Range Query on Attack-Resilient Encrypted Databases. In ACM Conference on Data and Application Security and Privacy (CODASPY) 2011. San Antonio, TX; 2011. (316.57 KB)
(316.57 KB). Multimodal Social Intelligence in a Real-Time Dashboard System. VLDB Journal Special Issue on Data Management and Mining for Social Networks and Social Media. Springer; 2010 ;. (1007.63 KB)
(1007.63 KB). "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)
(87.2 KB). Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. (548.25 KB)
(548.25 KB). Active Semantic Electronic Medical Records. In 2008. (360.81 KB)
(360.81 KB). Semantic Matchmaking of Web Resources with Local Closed-World Reasoning. International Journal of e-Commerce. 2008 ;:89-126. (447.71 KB)
(447.71 KB). Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060. (271.38 KB)
(271.38 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). Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. (548.25 KB)
(548.25 KB). Propagation Models and Analysis for Mobile Phone Data Analytics. In: . Propagation Phenomena in Real World Networks. Switzerland: Springer International Publishing; 2015. p. 335-376. (544 KB)
(544 KB). "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)
(87.2 KB). Propagation Models and Analysis for Mobile Phone Data Analytics. In: . Propagation Phenomena in Real World Networks. Switzerland: Springer International Publishing; 2015. p. 335-376. (544 KB)
(544 KB). Data Analytics for Power Utility Storm Planning. 6th International Conference on Knowledge Discovery and Information Retrieval. Rome, Italy; 2014. (240.43 KB)
(240.43 KB). 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)
(459.68 KB). Semantics enhanced Services: METEOR-S, SAWSDL and SA-REST. 2008 ;. 
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(0 bytes). Mobile Semantic Computing. 2nd International Conference on Semantic Computing (ICSC2008); 2008. 
(39 KB)
(39 KB). Alignment and Dataset Identification of Linked Data in Semantic Web. Issue Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2014 ;4(2):139-151. (538.34 KB)
(538.34 KB). Analysis on Partial Relationship in LOD. 2011. (356.47 KB)
(356.47 KB). FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering. In 29th AAAI Conference on Artificial Intelligence (AAAI 2015). Austin, Texas; 2015. (562.36 KB)
(562.36 KB). Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. (548.25 KB)
(548.25 KB). 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. (684.81 KB)
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.
(684.81 KB). On Automatic Reasoning for Schema Integration. International Journal of Intelligent & Cooperative Information Systems. 1993 ;:23-50. (663.44 KB)
(663.44 KB). Propagation Models and Analysis for Mobile Phone Data Analytics. In: . Propagation Phenomena in Real World Networks. Switzerland: Springer International Publishing; 2015. p. 335-376. (544 KB)
(544 KB). Transmission of data with orthogonal frequency division multiplexing technique for communication networks using GHz frequency band soliton carrier. IET Communications. 2014 ;8(8):1364 - 1373.
. Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. (548.25 KB)
(548.25 KB). An Online Platform for Web APIs and Service Mashups. 2008 ;. (11.28 MB)
(11.28 MB). Semantics enhanced Services: METEOR-S, SAWSDL and SA-REST. 2008 ;. (0 bytes)
(0 bytes). Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. (548.25 KB)
(548.25 KB). 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. (684.81 KB)
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.
(684.81 KB). 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. (684.81 KB)
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.
(684.81 KB). FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering. In 29th AAAI Conference on Artificial Intelligence (AAAI 2015). Austin, Texas; 2015. (562.36 KB)
(562.36 KB). 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. 
(1.13 MB) (488 KB)
(1.13 MB) (488 KB). 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. (1.13 MB) (488 KB)
(1.13 MB) (488 KB). Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060. (271.38 KB)
(271.38 KB). Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. (548.25 KB)
(548.25 KB). Transmission of data with orthogonal frequency division multiplexing technique for communication networks using GHz frequency band soliton carrier. IET Communications. 2014 ;8(8):1364 - 1373.
. Metabolomics. In Handbook of Industrial Mycology. New York: New York: Marcel Dekker; 2004. p. 597-633. (1.76 MB)
(1.76 MB). 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. (684.81 KB)
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.
(684.81 KB). Metabolomics. In Handbook of Industrial Mycology. New York: New York: Marcel Dekker; 2004. p. 597-633. (1.76 MB)
(1.76 MB). Social Media Enabled Human Sensing for Smart Cities. AI Communications. 2015 ;29. (16.71 MB)
(16.71 MB). ezDI's semantics-enhanced linguistic, NLP, and ML approach for health informatics. In 14th International Semantic Web Conference (ISWC 2015). Bethlehem, PA; 2015. (223.53 KB)
(223.53 KB)