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. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;. 
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(0 bytes). Demonstration: Real-Time Semantic Analysis of Sensor Streams. In 10th International Semantic Web Conference (ISWC 2011); 2012. 
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(217.86 KB). 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)
(179.11 KB). 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)
(179.11 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). Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
. PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Atlanta,GA,USA; 2017. p. 2507-2510. (450.54 KB)
(450.54 KB). Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. IEEE; 2018. p. 1-1. (4.26 MB)
(4.26 MB). Semantics-Empowered Text Exploration for Knowledge Discovery. In 48th ACM Southeast Conference Oxford Mississippi, April 15-17, 2010. Oxford, Mississippi: ACM; 2010. (582.78 KB)
(582.78 KB). Semantics-Empowered Text Exploration for Knowledge Discovery. In 48th ACM Southeast Conference Oxford Mississippi, April 15-17, 2010. Oxford, Mississippi: ACM; 2010. (582.78 KB)
(582.78 KB). Qanary - A Methodology for Vocabulary-driven Open Question Answering Systems. ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 625--641.
. 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). Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
. 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)
(299.4 KB). 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)
(299.4 KB). 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)
(299.4 KB). 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)
(299.4 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). 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)
(156.44 KB). Semantic Predications for Complex Information Needs in Biomedical Literature. In 5th International Conference on Bioinformatics and Biomedicine (BIBM2011). Atlanta GA: 2011 IEEE International Conference on Bioinformatics and Biomedicine; 2011. (471.3 KB)
(471.3 KB). Semantic Predications for Complex Information Needs in Biomedical Literature. 2011 IEEE International Conference on Bioinformatics and Biomedicine. Atlanta, GA: IEEE; 2011.
. A Hybrid Approach to Finding Relevant Social Media Content for Complex Domain Specific Information Needs. Journal of Web Semantics. 2014 ;29:39-52. (1.9 MB)
(1.9 MB). A Graph-Based Recovery and Decomposition of Swanson's Hypothesis using Semantic Predications. Journal of Biomedical Informatics. 2013 ;46(2):238-251. (915.51 KB)
(915.51 KB). Best K: the Critical Clustering Structures in Categorical Data. 2008 ;. (0 bytes)
(0 bytes). A Taxonomy-based Model for Expertise Extrapolation. In 4th International Conference on Semantic Computing (ICSC2010). Pittsburgh PA, USA; 2010. (659.87 KB)
(659.87 KB). Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
. 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)
(156.44 KB). IntelliGEN: A Distributed Workflow System for Discovering Protein-Protein Interactions. Special issue on Bioinformatics. 2003 ;:43-72. (499.24 KB)
(499.24 KB). IntelliGEN: A Distributed Workflow System for Discovering Protein-Protein Interactions. Special issue on Bioinformatics. 2003 ;:43-72. (499.24 KB)
(499.24 KB). Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker. In International Conference on Biomedical Ontology (ICBO 2011). Buffalo, New York; 2011. (357.24 KB)
(357.24 KB). Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker. In International Conference on Biomedical Ontology (ICBO 2011). Buffalo, New York; 2011. (357.24 KB)
(357.24 KB). Ranking Function Adaptation With Boosting Trees. ACM Transactions on Information Systems. 2011 ;. (437.8 KB)
(437.8 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). "Time for dabs": Analyzing Twitter data on marijuana concentrates across the U.S. Drug and Alcohol Dependence. 2015 ;155:307-311.
. "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)
(731.83 KB). "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
. "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
. Characterizing marijuana concentrate users: A web-based survey. Drug and Alcohol Dependence. Elsevier; 2017 ;.
. "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.
. Document Clustering and Ranking System for Exploring MEDLINE Citations. 2007 ;. (0 bytes)
(0 bytes). An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291. (329.28 KB)
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