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Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
Shaojun Wang, Cartic Ramakrishnan, Pablo N. Mendes, Amit Sheth. Unsupervised Discovery of Compound Entities for Relationship Extraction. In Unsupervised Discovery of Compound Entities for Relationship Extraction. 2008.  (0 bytes)
Shaojun Wang, Meenakshi Nagarajan, Kamal Baid, Amit Sheth. Monetizing User Activity on Social Networks - Challenges and Experiences. In Monetizing User Activity on Social Networks - Challenges and Experiences. 2009.  (0 bytes)
Shaojun Wang, D. Schuurmans. Learning Continuous Latent Variable Models with Bregman Divergences. In Learning Continuous Latent Variable Models with Bregman Divergences. 2003.
Wei Wang, Guozhu Dong, Changjie Tang. Proceedings of the 4th International Conference on Web-Age Information Management. 2003.
Wenbo Wang. Automatic Emotion Identification from Text. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 138.  (679.48 KB)
Shaojun Wang, Y. Zhao. Optimal On-Line Bayesian Model Selection for Speaker Adaptation. In Optimal On-Line Bayesian Model Selection for Speaker Adaptation. 2000.
Shaojun Wang, Y. Zhao, D. Schuurmans, R. Rosenfeld. The Latent Maximum Entropy Principle. In The Latent Maximum Entropy Principle. 2002.
Wenbo Wang, Lu Chen, Ming Tan, Shaojun Wang, Amit Sheth. Discovering Fine-grained Sentiment in Suicide Notes. Book: Biomedical Informatics Insights. 2012 ;:137-145.  (234.32 KB)
Shaojun Wang, Y. Zhao, R. Rosenfeld. Latent Maximum Entropy Principle for Statistical Language Modeling. In 2001.
Shaojun Wang, R. Greiner, F. Jiao, D. Schuurmans, C. Lee. Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. In Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. 2006.
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David Warren, Michael Kifer, Krishnaprasad Thirunarayan. On the Declarative Semantics of Inheritance Networks. In On the Declarative Semantics of Inheritance Networks. 1989.
E. Watkins, J. Larson, Amit Sheth. Tailor, A Tool for Updating Views. In Tailor, A Tool for Updating Views. 1988.  (1.35 MB)
Jinpeng Wei, Calton Pu, Keke Chen. Flying under the Radar: Maintaining Control of Kernel without Changing Kernel Code or Persistent Data Structures. In 2011.
Michael Weise, John Miller, Krzysztof Kochut, Jonathan Arnold, R. David Hall, Amit Sheth. Using Workflow to Build an Information Management System for a Geographically Distributed Genome Sequence Initiative. In 2003.  (172.75 KB)
Matthias Wendt, Pascal Hitzler. Characterizing Logic Programming Semantics with Level Mappings. In WLP: Workshop Logische Programmierung; 2002.  (0 bytes)
Matthias Wendt, Pascal Hitzler. A uniform approach to logic programming semantics. Theory and Practice of Logic Programming. 2005 ;:123-159.  (326.6 KB)
Matthias Wendt, Pascal Hitzler. The Well-Founded Semantics is a Stratified Fitting Semantics. In The Well-Founded Semantics is a Stratified Fitting Semantics. 2002.  (0 bytes)
Matthias Wendt, Pascal Hitzler. Formal Concept Analysis and Resolution in Algebraic Domains. In ICCS 2003. Shaker Verlag, Aachen; 2003. p. 205-221.  (161.87 KB)
Matthias Wendt, Pascal Hitzler. Formal Concept Analysis and Resolution on Algebraic Domains - Preliminary Report. 2003.  (0 bytes)
M. Westrick, Michael Raymer, A. Neuforth, Nicholas Reo, Nicholas J. DelRaso, D. Mahle. Combined Urine and Plasma Metabolomic Analysis of alpha-Napthylisothiocyanate (ANIT) Liver Toxicity in the Rat. In 2006.
M. Westrick, Nicholas J. DelRaso, A. Neuforth, D. Mahle, Michael Raymer, Nicholas Reo. Dose and Time Response Metabolomic Analyses of a-Napthylisothiocyanate Toxicity in the Rat. Chemical Research in Toxicology. 2008 ;.
Sanjaya Wijeratne, Derek Doran, Amit Sheth, Jack Dustin. Analyzing the Social Media Footprint of Street Gangs. In 2015 IEEE International Conference on Intelligence and Security Informatics (ISI). Baltimore, MD: IEEE; 2015. p. 91-96.  (1.26 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)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: Building a Machine Readable Sense Inventory for Emoji. Emma Spiro, Yong-Yeol Ahn. 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA: Springer International Publishing; 2016. p. 527-541.  (712.1 KB)
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)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: A Machine Readable Emoji Sense Inventory. Wright Brother's Day, Wright State University. Dayton, Ohio, USA; 2016 .  (66.92 KB) (815.49 KB)
Sanjaya Wijeratne. A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet. College of Engineering and Computer Science. [Dayton]: Wright State University; 2018. p. 111.
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)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
David Wild, Ying Ding, Lee Harland, Amit Sheth, Eric Gifford, Michael Lajiness. Systems chemical biology and the Semantic Web: what they mean for the future of drug discovery research. 2012 ;.  (262.81 KB)
V. Winter, Shaojun Wang, J. Beck, J. Mostow, B. Tobin. Predicting Oral Reading Miscues. In Predicting Oral Reading Miscues. 2002.
Thomas Wischgoll. Validation of Visualization techniques for large-scale Vascular Models. 2005.
Thomas Wischgoll, Joerg Meyer. Fly Through a Pig's Heart: An Educational Computer Game. In 2005.
Thomas Wischgoll. High Speed Capturing in the Area of Earthquake Research. 2003.
Thomas Wischgoll, Joerg Meyer, Elke Moritz. Integrated Visualization and Analysis of a Pig's Cardiovascular System. In 2005.
Thomas Wischgoll. Topological Features in Vector Fields. In Dagstuhl Seminar 03231 Scientific Visualization. Dagstuhl, Germany: Schloss Dagstuhl; 2003.
Thomas Wischgoll. Detection of Closed Hyperstreamlines. 2004.
Thomas Wischgoll, Joerg Meyer. An Explorational Exhibit of a Pig's Heart. In 2005.
Thomas Wischgoll. Computing Center-Lines: An Application of Vector Field Topology. In 2008.
Thomas Wischgoll. Multi-field Visualization for Biomedical Data Sets. In 2011.
Thomas Wischgoll. Analysis and Visualization of Vascular Structures. 2011.
Thomas Wischgoll, Joerg Meyer, Elke Moritz. Quantitative Analysis of Blood Flow in a Cardiovascular System. In 2003.
Thomas Wischgoll. Modeling and Simulation of Cardiovascular Systems. In 2007.
Thomas Wischgoll. Accurate Analysis of Angiograms based on 3D Vector Field Topology. Computer Aided Geometric Design. 2013 ;30(6):542-548.
Thomas Wischgoll. Visualizing Vascular Structures in Virtual Environments. Visualization and Data Analysis. 2013 ;.
Thomas Wischgoll. Thomas Wischgoll: Closed Streamlines in Flow Visualization. Closed Streamlines in Flow Visualization. 2002 ;:3-12.
Thomas Wischgoll. Visualization and Analysis of CT Data in Cardiovascular Research. 2007.
Thomas Wischgoll. Topological Methods in Visualization. In 2005.

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