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Hemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit Sheth. Finding Influential Authors in Brand-Page Communities. 2012.

(369.22 KB)

Hemant Purohit. Crisis Response Coordination in Online Communities. In NSF SOCS Symposium. 2013.

(2.34 MB)

Hemant Purohit. Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154.

(6.65 MB)

Hemant Purohit, Yiye Ruan, Amruta Joshi, Srinivasan Parthasarthy, Amit Sheth. Understanding User-Community Engagement by Multi-faceted Features: A Case Study on Twitter. In SoME 2011 (Workshop on Social Media Engagement, in conjunction with WWW 2011). Hyderabad, India: 2011 workshop on Social Media Engagement (SoME); 2011.

(259.29 KB)

Hemant Purohit, Shreyansh Bhatt, Andrew Hampton, Valerie Shalin, Amit Sheth, John Flach. With Whom to Coordinate, Why and How in Ad-hoc Social Media Communities during Crisis Response. In 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2014). University Park, PA; 2014.

(773.18 KB)

Hemant Purohit, Andrew Hampton, Valerie Shalin, John Flach, Amit Sheth, Shreyansh Bhatt. What Kind of #Communication is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination. Computers in Human Behavior. 2013 ;29(6):2438-2447.

(838.08 KB)

Hemant Purohit, Carlos Castillo, Fernando Diaz, Amit Sheth, Patrick Meier. Emergency-Relief Coordination on Social Media: Automatically Matching Resource Requests and Offers. First Monday. 2014 ;19(1).

Hemant Purohit, Andrew Hampton, Valerie Shalin, Amit Sheth, John Flach. Framework for the Analysis of Coordination in Crisis Response. 2012.

(792.41 KB)

Hemant Purohit, Amit Sheth, Carlos Castillo, Patrick Meier. Crisis Mapping, Citizen Sensing and Social Media Analytics: Leveraging Citizen Roles for Crisis Response. In 7th International AAAI Conference on Weblogs and Social Media. Cambridge, MA; 2013.

Hemant Purohit, Guozhu Dong, Valerie Shalin, Krishnaprasad Thirunarayan, Amit Sheth. Intent Classification of Short-Text on Social Media. In SocialCom 2015: 8th IEEE International Conference on Social Computing and Networking. Chengdu, China: IEEE; 2015.

(485.79 KB)

Hemant Purohit, Amit Sheth. Twitris v3: From Citizen Sensing to Analysis, Coordination and Action. In 7th International AAAI Conference on Weblogs and Social Media. Cambridge, Massachusetts: AAAI Publications; 2013.

(440.24 KB)

Hemant Purohit, Andrew Hampton, Shreyansh Bhatt, Valerie Shalin, Amit Sheth, John Flach. An Information Filtering and Management Model for Twitter Traffic to Assist Crises Response Coordination. Journal of Computer Supported Cooperative Work (Special Issue on Crisis Informatics and Collaboration). 2014 ;23(4):513-545.

(1.08 MB)

Hemant Purohit, Yiye Ruan, Dave Fuhry, Srinivasan Parthasarthy, Amit Sheth. On Understanding Divergence of Online Social Group Discussion. In 8th International AAAI Conference on Weblogs and Social Media (ICWSM 2014). University Park, PA; 2014.

(317.78 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. Dayton: Wright State University; 2015 .

(955.68 KB)

Hemant Purohit, Andrew Hampton, Shreyansh Bhatt, Valerie Shalin, Amit Sheth, John Flach. Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination. Journal of Computer-Supported Cooperative Works (JCSCW). 2014 ;23(4-6):513-545.

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).

W. Punch, A. Jain, Michael Raymer, E. Goodman, L. Kuhn. Dimensionality Reduction Using Genetic Algorithms. 2000 ;.

W. Punch, P. Sanschagrin, Michael Raymer, E. Goodman, L. Kuhn. Simultaneous Feature Extraction and Selection Using a Masking Genetic Algorithm. In 1997.

W. Punch, Michael Raymer, L. Kuhn, E. Goodman. Genetic Programming for Improved Data Mining â Application to the Biochemistry of Protein Interactions. In 1996.

Joshua Pschorr. SemSOS: an Architecture for Query, Insertion, and Discovery for Semantic Sensor Networks. Department of Computer Science & Engineering. [Fairborn]: Wright State University; 2013. p. 124.

(2 MB)

Josh Pschorr, Cory Henson, Harshal Patni, Amit Sheth. Sensor Discovery on Linked Data. 2010 .

(567.27 KB)

Chitra Phadke, Huseyin Uzunalioglu, Veena Mendiratta, Dan Kushnir, Derek Doran. Prediction of Subscriber Churn Using Social Network Analysis. Bell Laboratories Technical Journal. 2013 ;17(4):63-75.

(530.63 KB)

M. Peterson, Michael Raymer, Travis Doom. GA-facilitated knowledge discovery and pattern recognition optimization applied to the biochemistry of protein solvation. In 2004.

Michael Peterson, Travis Doom, Michael Raymer. Prediction Enhancement of Protein-Water Binding Conservation through Evolutionary Computation. In Symposium on Bioinformatics for Drug Development. Toledo, OH; 2001.

M. Peterson, Travis Doom, Michael Raymer. Knowledge Discovery in Large Biological Data Sets Using Hybrid Classifier/Evolutionary Algorithms. In 2004.

M. Peterson, Michael Raymer, Travis Doom. GA-Facilitated KNN Classifier Optimization with Varying Similarity Measures. In 2005.

Matthew Perry, Farshad Hakimpour, Amit Sheth. Analyzing Theme, Space and Time: An Ontology-based Approach. In Proc. ACM International Symposium on Geographic Information Systems. Arlington, VA; 2006.

(269.53 KB)

Matthew Perry, Amit Sheth, Farshad Hakimpour, Boanerges Aleman-Meza. Spatiotemporal-Thematic Data Processing in Semantic Web. In 2007.

(735.96 KB)

Matthew Perry, Amit Sheth. A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data. 2008.

(1.96 MB)

Matthew Perry, Prateek Jain, Amit Sheth. SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries. In Geospatial Semantics and the Semantic Web. New York: Springer; 2011. p. 61-86.

(518.48 KB)

Matthew Perry, Amit Sheth. A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data. 2008.

(1.96 MB)

Matthew Perry, Eric Stiles. SEMPL: a Semantic Portal. In 2004.

Matthew Perry, Ismailcem Budak Arpinar, Amit Sheth, Farshad Hakimpour. Geospatial and Temporal Semantic Analytics. In 2007.

(400.05 KB)

Matthew Perry. TOntoGen: A Synthetic Data Set Generator for Semantic Web Applications. AIS SIGSEMIS Bulletin. (no. 2), April-June 2005. AIS SIGSEMIS Bulletin; 2005 ;:46-48.

(44.4 KB)

Matthew Perry, Farshad Hakimpour, Amit Sheth. Analyzing Theme, Space and Time: An Ontology-based Approach (poster). In 5th International Semantic Web Conference. Athens, GA: 5th International Semantic Web Conference; 2006.

(106.37 KB)

Matthew Perry, Farshad Hakimpour, Amit Sheth. Analyzing Theme, Space and Time: An Ontology-based Approach. In Analyzing Theme, Space and Time: An Ontology-based Approach. 2006.

Matthew Perry. Spatiotemporal and Thematic Semantic Analytics. In 2007.

(421.5 KB)

Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.

(1.65 MB)

Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair. Semantics Driven Approach for Knowledge Acquisition from EMRs. IEEE Journal of Biomedical and Health Informatics. 2014 ;18(2):515-524.

(407.53 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)

Sujan Perera, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Adarsh Alex, Christopher Heid, Greg Mott. Implicit Entity Recognition in Clinical Documents. 4th Joint Conference on Lexical and Computational Semantics (*SEM) 2015. Denver, CO: Association for Computational Linguistics; 2015. p. 228-238.

(300.69 KB)

(332.44 KB)

Sujan Perera, Amit Sheth, Krishnaprasad Thirunarayan, Suhas Nair, Neil Shah. Challenges in Understanding Clinical Notes: Why NLP Engines Fall Short and Where Background Knowledge Can Help. International Workshop on Data management & Analytics for healthcaRE (DARE) at ACM Conference of Information and Knowledge Management (CIKM). Burlingame, California; 2013. p. 21-26.

(220.54 KB)

(248.8 KB)

Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair. Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in Healthcare. In International Conference on Bioinformatics and Biomedicine. Philadelphia, USA: International Conference on Bioinformatics and Biomedicine; 2012.

(799.91 KB)

Sujan Perera. Implicit Information Extraction from Clinical Notes. In IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015). Dallas, TX: IEEE; 2015.

(63.83 KB)

F. Peng, Y. Zhao, Shaojun Wang, D. Schuurmans. Combining Statistical Language Models via the Latent Maximum Entropy Principle. 2005 ;.

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F. Peng, Shaojun Wang, D. Schuurmans. Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. In Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. 2003.

F. Peng, Shaojun Wang, D. Schuurmans. Augmenting Naive Bayes Text Classi_er Using Statistical N-Gram Language Modeling. 2004 ;.

Jian Pei, Jianyong Wang, Benjamin Wah, Jiawei Han, Wei Zou, Guozhu Dong. MultiDimensional Regression Analysis of Time-Series Data Streams. In MultiDimensional Regression Analysis of Time-Series Data Streams. 2002.

Jian Pei, Jiawei Han, Ke Wang, Guozhu Dong. Efficient Computation of Iceberg Cubes with Complex Measure. 2001 ;.

Jian Pei, Guozhu Dong. Sequence Data Mining. 2007.

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