Library
. 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). 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.
. A Clustering Comparison Measure Using Density Profiles and its Application to the Discovery of Alternate Clusterings. Data Mining and Knowledge Discovery. 2010 ;. (895.73 KB)
(895.73 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). 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). A Clustering Comparison Measure Using Density Profiles and its Application to the Discovery of Alternate Clusterings. Data Mining and Knowledge Discovery. 2010 ;. (895.73 KB)
(895.73 KB). 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)
(754.03 KB). 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). A Clustering Comparison Measure Using Density Profiles and its Application to the Discovery of Alternate Clusterings. Data Mining and Knowledge Discovery. 2010 ;. (895.73 KB)
(895.73 KB). A Clustering Comparison Measure Using Density Profiles and its Application to the Discovery of Alternate Clusterings. Data Mining and Knowledge Discovery. 2010 ;. (895.73 KB)
(895.73 KB). Semantic Gateway as a Service architecture for IoT Interoperability. In IEEE 4th International Conference on Mobile Services. New York City, New York: IEEE; 2015. (1.67 MB)
(1.67 MB). Automated Isolation of Translational Efficiency Bias that Resists the Confounding Effect of GC(AT)-Content. IEEE Control Systems Society. 2009 ;. (4.46 MB)
(4.46 MB). A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE/ACM Transactions on Computational Biology and Bioinformatics. IEEE Computer Society Press; 2009 ;8(2):342-352. (1.85 MB)
(1.85 MB). A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE Control Systems Society. 2008 ;.
. 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.
. Semantics-based Information Brokering: A step towards realizing the Infocosm. 1993. (238.7 KB)
(238.7 KB). CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations. In The 13th IEEE International Conference on Semantic Computng. Newport Beach, California: IEEE; 2019. (488.83 KB)
(488.83 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). Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience. Computer. IEEE; 2016 ;49(3):64-72. (459.58 KB)
(459.58 KB). 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)
(389.45 KB). Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
. 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). Trykipedia: Collaborative Bio-Ontology Development using Wiki Environment. In Ohio Collaborative Conference on BioInformatics (OCCBIO 2009). Case Western Reserve University, Cleveland, OH; 2009. 
(855.95 KB)
(855.95 KB). Comparative Trust Management with Applications: Bayesian Approaches Emphasis. Future Generation Computer Systems. 2013 ;30(6):182-199. (1.57 MB)
(1.57 MB). 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)
(313.8 KB). Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78. (342.08 KB)
(342.08 KB). Content Management, Metadata and Semantic Web. In Content Management, Metadata and Semantic Web. 2001.
. Striving for Safety: Communicating and Deciding in Sociotechnical Systems. Ergonomics. 2013 ;58(4):615-634.
. Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics. Computer Science and Engineering. [Columbus]: Ohio State University; 2015. p. 206.
. Simultaneous Detection of Communities and Roles from Large Networks. 2nd ACM Conference on Online Social Networks. New York, NY: ACM; 2014. p. 203-214. (232.81 KB)
(232.81 KB). Knowledge Graph Enhanced Community Detection and Characterization. In Twelfth ACM International Conference on Web Search and Data Mining. Melbourne, Australia: ACM; 2019. p. 51-59. (1.47 MB)
(1.47 MB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23. (1.18 MB)
(1.18 MB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253. (2.21 MB)
(2.21 MB). 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)
(514.1 KB). Bounding the Effects of Compensation under Relaxed Multi-Level Serializability. Distributed and Parallel Databases. 1996 ;:355-374. (228.44 KB)
(228.44 KB). Show Me What You Mean! Exploiting Domain Semantics in Ontology Visualization. 2006. (378.36 KB)
(378.36 KB). 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). Relationships at the Heart of Semantic Web: Modeling, Discovering, and Exploiting Complex Semantic Relationships. In Enhancing the Power of the Internet (Studies in Fuzziness and Soft Computing). Berlin: Springer-Verlag ; 2004. p. 63-94. (488.92 KB)
(488.92 KB). Complex Relationships for the Semantic Web. In 2003. (915.71 KB)
(915.71 KB). Complex Relationship and Knowledge Discovery Support in the InfoQuilt System. 2002 ;. (582.99 KB)
(582.99 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). Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
. "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)
(902.96 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). Trusted Query in Spatial and Temporal Correlated Wireless Sensor Networks. 2009 ;. 
(861 KB)
(861 KB). Perspectives in Modeling: Simulation, Database and Workflow. In Conceptual Modeling: Lecture Notes in Computer Science. Berlin: Springer Berlin Heidelberg; 1999. p. 154-167. (444.69 KB)
(444.69 KB)