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K
M. Peterson, Travis Doom, Michael Raymer. Knowledge Discovery in Large Biological Data Sets Using Hybrid Classifier/Evolutionary Algorithms. In 2004.
Vinh Nguyen, Olivier Bodenreider, Todd Minning, Amit Sheth. The Knowledge Driven Exploration of Integrated Biomedical Knowledge Sources Facilitates the Generation of New Hypotheses. In 1st International Conference on Linked Science. Bonn, Germany: Linked Science workshop, ISWC; 2011.  (138.82 KB)
Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth, Krishnaprasad Thirunarayan. Knowledge Enabled Approach to Predict the Location of Twitter Users. Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann. 12th European Semantic Web Conference (ESWC 2015). Portoroz, Slovenia: Springer International Publishing; 2015. p. 187-201.  (790.96 KB)
Amelie Gyrard, Manas Gaur, Swati Padhee, Amit Sheth, Juganaru-Mathieu M. Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 1935–1936.  (379.98 KB)
Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen, Valerie Shalin, Derek Doran, Brandon Minnery. 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)
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017.  (3.03 MB)
Christopher Thomas, Samir Tartir, Satya S. Sahoo, Amit Sheth, William York. Knowledge Modeling and Its Application in Life Sciences: A Tale of Two Ontologies. In 15th International World Wide Web Conference (WWW2006). Edinburgh, Scotland; 2006.  (331.52 KB)
Sanjeev Thacker, Shuchi Patel, Amit Sheth. Knowledge Modeling for Study of Domains and Inter-Domain Relationships - A Learning Paradigm. 2001 ;.
Peter Mika, Ramesh Jain, Amit Sheth. Knowledge Representation on the Semantic Web. In 2007.
Knowledge Sharing, Coordinated Exception Handling, and Intelligent Problem Solving for Cross-Organizational Business Processes. 2001.  (929.26 KB)
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)
Amit Sheth, Sujan Perera, Sanjaya Wijeratne. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. 2016 .  (994.44 KB)
Manas Gaur, Amanuel Alambo, Sain JP, Ugur Kursuncu, Thirunarayam K, Ramakanth Kavuluru, Amit Sheth, Welton RS, Jyotishman Pathak. Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. In The Web Conference 2019. San Francisco, CA, USA: Association for Computing Machinery; 2019.  (1.45 MB)
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
Pramod Anantharam, Tanvi Banerjee, Amit Sheth, Krishnaprasad Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini Forbis. Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children. 2015 IEEE International Conference on Mobile Services. New York, NY: IEEE; 2015. p. 284 - 291.  (1.31 MB)
Ashutosh Jadhav. Knowledge-driven Search Intent Mining. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 180.  (11.11 MB)
Pramod Anantharam. Knowledge-empowered Probabilistic Graphical Models For Physical-cyber-social Systems. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 172.  (14.4 MB)
Amit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin. Knowledge-empowered real-time event-centric situational analysis. NSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018; 2018.  (1.61 MB)
Vaikunth Sridharan, Revathy Venkataramanan, Dipesh Kadariya, Krishnaprasad Thirunarayan, Amit Sheth, Maninder Kalra. Knowledge-enabled Personalized Dashboard for Asthma Management in Children. American College of Allergy, Asthma & Immunology Annual Meeting ; 2018.  (461.4 KB)
Nishita Jaykumar, PavanKalyan Yallamelli, Vinh Nguyen, Sarasi Lalithsena, Krishnaprasad Thirunarayan, Amit Sheth. KnowledgeWiki: An OpenSource Tool for Creating Community-Curated Vocabulary, with a Use Case in Materials Science. In World Wide Web 2016. Montreal, Canada; 2016.  (904.53 KB) (1.82 MB)
Pascal Hitzler. Kontraktionssatze auf verallgemeinerten metrischen Raumen. In 2001.  (0 bytes)
Gudrun Kalmbach, Pascal Hitzler. Kursarbeit mit Schulern - die Intensivkurse Mathematik. In 2007.
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Shaojun Wang, F. Peng, D. Schuurmans. Language and Task Independent Text Categorization Using Character Level N-Gram Language Models. 2003 ;.
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, D. Schuurmans, Shaojun Wang. Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. In 2003.
Shaojun Wang, Y. Zhao, D. Schuurmans, R. Rosenfeld. The Latent Maximum Entropy Principle. In The Latent Maximum Entropy Principle. 2002.
Shaojun Wang, Y. Zhao, R. Rosenfeld. Latent Maximum Entropy Principle for Statistical Language Modeling. In 2001.
Shaojun Wang, D. Schuurmans. Learning Continuous Latent Variable Models with Bregman Divergences. In Learning Continuous Latent Variable Models with Bregman Divergences. 2003.
Johanna Volker, Peter Haase, Pascal Hitzler. Learning Expressive Ontologies. In 2008.  (0 bytes)
Michael Raymer. Learning From Nature - Genetic Algorithms Applied to Protein Recognition. In 1996.
Shaojun Wang, D. Schuurmans. Learning Latent Variable Models with Bregman Divergences. In Learning Latent Variable Models with Bregman Divergences. 2003.
Y. Zhao, Shaojun Wang, F. Peng, D. Schuurmans. Learning Mixture Models with the Latent Maximum Entropy Principle. In Learning Mixture Models with the Latent Maximum Entropy Principle. 2003.
D. Schuurmans, F. Peng, Y. Zhao, Shaojun Wang. Learning Mixture Models with the Regularized Latent Maximum Entropy Principle. 2004 ;.  (0 bytes)
Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint. Learning Paradigms in Dynamic Environments. In Dagstuhl Seminar Proceedings 10302. Dagstuhl, Germany: Schloss Dagstuhl; 2010.  (161.34 KB)
F. Jiao, D. Schuurmans, R. Greiner, C. Lee, Shaojun Wang. Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. 2007 ;.
Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak. "Let Me Tell You About Your Mental Health!" Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. In The 27th ACM International Conference on Information and Knowledge Management (CIKM’18). Torino, Italy: Association for Computing Machinery; 2018.  (335.44 KB)
Sibylle Schwarz, Pascal Hitzler. Level Mapping Characterizations of Selector-Generated Models for Logic Programs. In 19th Workshop on (Constraint) Logic Programming; 2005.  (0 bytes)
Sibylle Schwarz, Pascal Hitzler. Level mapping characterizations of selector-generated models for logic programs. 2004.  (0 bytes)
Amit Sheth. Leveraging Semantic Web techniques to gain situational awareness. In Cyber Situational Awareness Workshop; 2007.  (1.77 MB)
Carlos Castillo, Fernando Diaz, Hemant Purohit. Leveraging Social Media and Web of Data for Crisis Response Coordination. 2014.
Amit Sheth, Christoph Bussler, Jorge Cardoso. Lifecycle of Semantic Web Processes. In CAiSE. Porto, Portugal: CAiSE; 2005.  (3 MB) (2.66 MB)
Prateek Jain, Pascal Hitzler, Peter Z. Yeh, Kunal Verma, Amit Sheth. Linked Data is Merely More Data. 2010 AAAI Spring Symposium. Menlo Park, California: AAAI Press; 2010. p. 82-86.  (151.34 KB)
Pablo N. Mendes, Alex Passant, Pavan Kapanipathi, Amit Sheth. Linked Open Social Signals. In International Conference on Web Intelligence. Toronto, Canada: IEEE/WIC/ACM International Conference on Web Intelligence (WI-10); 2010.  (526.46 KB)
Harshal Patni, Cory Henson, Amit Sheth. Linked Sensor Data. In Collaborative Technologies and Systems (CTS 2010). Chicago, Illinois; 2010.  (1.14 MB)
Amit Sheth, John Miller, Kunal Verma, Christoph Bussler, Adrian Mochan, Michal Zaremba. Linking Semantics Web service Efforts - Integrating WSMX and METEOR-S. 2005.  (133.02 KB)
Kunal Sengupta, Adila Alfa Krisnadhi, Pascal Hitzler. Local Closed World Reasoning: Grounded Circumscription for OWL. In The Semantic Web - ISWC 2011 - 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011. Bonn, Germany: Proceedings, Part I. Lecture Notes in Computer Science Vol. 7031, Springer, Heidelberg, 2011; 2011.  (385.97 KB)
Kunal Sengupta, Adila Alfa Krisnadhi, Pascal Hitzler. Local closed world semantics: grounded circumscription for description logics. In Web Reasoning and Rule Systems. 5th International Conference, RR 2011, Galway, Ireland, August 29-30, 2011. Galway, Ireland: Lecture Notes in Computer Science Vol. 6902, Springer, Heidelberg, 2011; 2011.
Adila Alfa Krisnadhi, Kunal Sengupta, Pascal Hitzler. Local Closed World Semantics: Keep it simple, stupid!. In Local Closed World Semantics: Keep it simple, stupid!. 2011.
Matthias Knorr, Jose Julio Alferes, Pascal Hitzler. Local Closed-World Reasoning with Description Logics under the Well-founded Semantics. 2011 ;.  (354.24 KB)
Venu Satuluri, Srinivasan Parthasarthy, Yiye Ruan. Local graph sparsification for scalable clustering. In ACM SIGMOD International Conference on Management of data. Athens, Greece; 2011. p. 721-732.

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