Library

Export 50 results:
Filters: First Letter Of Last Name is B  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
B
Rajkumar Buyya, Amit Sheth, Holger Neuhaus, Cory Henson, Krishnaprasad Thirunarayan. An Ontological Representation of Time Series Observations on the Semantic Sensor Web. In 2009.  (0 bytes)
Christoph Bussler, Dieter Fensel, Steffen Staab, Wil Van Der Aalst, V Richard Benjamins, John A Miller, Alexander Maedche, Dennis Gannon, Amit Sheth. Web services: been there, done that?. 2003 ;.
Andrew Buck, Tanvi Banerjee, James Keller. 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.
M. Brown, A. Murtha, C. Lee, Shaojun Wang, R. Greiner. Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. In Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. 2008.
Andreas Both, Dennis Diefenbach, Kuldeep Singh, Saeedeh Shekarpour, Didier Cherix, Christoph Lange. Qanary - A Methodology for Vocabulary-driven Open Question Answering Systems. ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 625--641.
Robert Bostrom, Amit Sheth, Jorge Cardoso. Workflow Management Systems and ERP Systems: Differences, Commonalities, and Applications. 2002.  (285.47 KB)
S. Boll, Amit Sheth, W. Klas. Overview on Using Metadata to Manage Multimedia Data. In 1998.  (217.29 KB)
Stefan Bischof, Athanasios Karapantelakis, Cosmin-Septimiu Nechifor, Amit Sheth, Alessandra Mileo, Payam Barnaghi. Semantic Modelling of Smart City Data. W3C Workshop on the Web of Things: Enablers and Services for an Open Web of Devices. Berlin, Germany; 2014. p. 25-26.  (975.78 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)
Shreyansh Bhatt, Hemant Purohit, Andrew Hampton, Valerie Shalin, Amit Sheth, John Flach. Assisting Coordination during Crisis: A Domain Ontology Based Approach to Infer Resource Needs from Tweets. 2014 ACM Conference on Web Science. New York, NY: ACM; 2014. p. 297-298.  (478.64 KB)
Shreyansh Bhatt, Manas Gaur, Beth Bullemer, Valerie Shalin, Amit Sheth, Brandon Minnery. 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)
F. Beyette, , Mark Oxley, J. Boyd, H. Carter, C. Purdy, H. Abdel-Aty-Zohdy, S. Bibyk, Y. Zheng, C. Brothers. An Interactive Video Course in Multidisciplinarity and Collaborative Design for Systems on a Chip. In Intl. Conf. on Microelectronics Systems Education. Las Vegas, NV, USA; 2001.  (32.53 KB)
Clemens Bertram. Metadata and Ontology Based Query Processing in the InfoQuilt System. [Athens]: University of Georgia; 1998.
Clemens Bertram, David Avant, Brian Hammond, Krysztof Kochut, Yashodhan Warke, Amit Sheth. Managing Semantic Content for the Web. IEEE Internet Computing. IEEE Internet Computing; 2002 ;:80-87.  (1.8 MB)
Gary Berg-Cross, Isabel Cruz, Mike Dean, Timothy Finin, Pascal Hitzler, Hook Hua, Mark Gahegan, Krzysztof Janowicz, Naicong Li, Philip Murphy, Bryce Nordgren, Leo Obrst, Mark Schildhauer, Amit Sheth, Krishna Sinha, Anne Thessen, Nancy Wiegand, Ilya Zaslavsky. Semantics and Ontologies for EarthCube. In: Krzysztof Janowicz, Carsten Keßler, Tomi Kauppinen, Dave Kolas, Simon Scheider. Workshop on GIScience in the Big Data Age, in conjunction with the 7th International Conference on Geographic Information Science 2012 (GIScience 2012). Columbus, OH; 2012. p. 11-16.  (62.78 KB)
Kevin Bennett, Timothy McEwen, Olivia Fox, John Flach. Enhancing Creative Problem-solving through Visual Display Design. In 2003.
Kevin Bennett, John Flach. Configural and Pictorial Displays. In: John Lee, Alex Kirlik. The Oxford Handbook of Cognitive Engineering. Oxford: Oxford University Press; 2013. p. 517-533.
Michael Benedikt, Leonid Libkin, Guozhu Dong, Limsoon Wong. Relational expressive power of constraint query languages. 1998 ;.
Michael Benedikt, Guozhu Dong, Leonid Libkin, Limsoon Wong. Relational Expressive Power of Constraint Query Languages. Journal of the ACM. 1996 ;:5-16.
Payam Barnaghi, Amit Sheth. The Internet of Things: The Story So Far. IEEE Internet of Things. 2014 ;.
Payam Barnaghi, Amit Sheth. On Searching the Internet of Things: Requirements and Challenges. IEEE Intelligent Systems. IEEE; 2016 ;32(6):71-75.
Payam Barnaghi, Amit Sheth, Vivek Singh, Manfred Hauswirth. Physical-Cyber-Social Computing: Looking Back, Looking Forward. IEEE Internet Computing. 2015 ;19(3):7-11.
Payam Barnaghi, Amit Sheth, Cory Henson. From Data to Actionable Knowledge: Big Data Challenges in the Web of Things. IEEE Intelligent Systems. 2013 ;28(6):6-11.  (218.02 KB)
Roger Barga, Jonathan Goldstein, Krishnaprasad Thirunarayan, Satya Sahoo, Amit Sheth. Where Did You Come From.. Where Did You Go ? -An Algebra and Query Engine for Scientific Data Provenance. 2009 ;.
F. Banti, Jose Julio Alferes, A. Brogi, Pascal Hitzler. The Well-Supported Semantics for Multidimensional Dynamic Logic Programs. In 8th International Conference, LPNMR 2005. Diamante, Italy; 2005. p. 356-368.  (218.65 KB)
Tanvi Banerjee, James Keller, Marjorie Skubic, Erik Stone. Day or Night Activity Recognition from Video Using Fuzzy Clustering Techniques. IEEE Transactions on Fuzzy Systems. 2013 ;22(3):483-493.
Tanvi Banerjee, Amit Sheth. IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73.  (1.89 MB)
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Tanvi Banerjee, James Keller, Mihail Popescu, Marjorie Skubic. Recognizing complex instrumental activities of daily living using scene information and fuzzy logic. Computer Vision and Image Understanding. 2015 ;140:68–82.
Tanvi Banerjee, Moein Enayati, James Keller, Marjorie Skubic, Mihail Popescu, Marilyn Rantz. Monitoring Patients in Hospital Beds Using Unobtrusive Depth Sensors. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 5904 - 5907.
Tanvi Banerjee, Marjorie Skubic, James Keller, Carmen Abbott. Sit-to-stand Measurement For In Home Monitoring Using Voxel Analysis. IEEE Transactions in IT and Biomedicine . 2014 ;18(4):1502-1509.
Tanvi Banerjee, Pramod Anantharam, William Romine, Larry Lawhorne, Amit Sheth. Evaluating a Potential Commercial Tool for Healthcare Application for People with Dementia. In International Conference on Health Informatics and Medical Systems (HIMS). Las Vegas, Nevada; 2015.  (345.24 KB)
Lakshika Balasuriya. Finding Street Gang Member Profiles on Twitter. Computer Science and Engineering. [Dayton]: Wright State University; 2017. p. 67.
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Signals Revealing Street Gang Members on Twitter. In Workshop on Computational Approaches to Social Modeling (ChASM 2016) co-located with 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA, USA; 2016.  (939.06 KB)
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. p. 685-692.  (2.02 MB)
Lakshika Balasuriya. Finding Street Gang Member Profiles on Twitter. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2017. p. 67.  (2.57 MB)
Lakshika Balasuriya, K. Perera, N. Bandara, S. Perera, D. Amarasena, D. Dias. InforMate - A GIS for Diverse Mobile Devices. In eASiA 2009. Sri Lanka; 2009.
James Bailey, Ramamohanarao Kotagiri, Guozhu Dong. Decidability and Undecidability Results for the Termination Problem of Active Database Rules. 1998 ;.
James Bailey, Anthony Widjaja, Guozhu Dong. Logical Queries over Views: Decidability and Expressiveness. ACM Transactions on Computational Logic. 2010 ;.  (375.04 KB)
James Bailey, K. Rammamohanarao, Guozhu Dong. On the decidability of the termination problem of active database systems. 2004 ;.
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen. Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. In International Conference on Computational Linguistics. 2010.  (267.85 KB)
Eric Bae, James Bailey, Guozhu Dong. 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)
Sebastian Bader, Steffen Holldobler, Andreas Witzel, Pascal Hitzler. A Fully Connectionist Model Generator for Covered First-Order Logic Programs. In Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. Hyderabad, India; 2007. p. 666-671.
Sebastian Bader, Artur S. D'A. Garcez, Pascal Hitzler. Computing First-Order Logic Programs by Fibring Artificial Neural Networks. In Eighteenth International Florida Artificial Intelligence Research Symposium Conference. Clearwater Beach, Florida, USA; 2005.  (93.97 KB)
Sebastian Bader, Pascal Hitzler. Dimensions of Neural-Symbolic Integration - A Structured Survey. In 2005.  (0 bytes)
Sebastian Bader, Artur S. D'Avila Garcez, Pascal Hitzler. Ontology Learning as a Use Case for Neural-Symbolic Integration. In Ontology Learning as a Use Case for Neural-Symbolic Integration. 2005.
Sebastian Bader, Pascal Hitzler. Logic Programs, Iterated Function Systems, and Recurrent Radial Basis Function Networks. Journal of Applied Logic. 2004 ;:273- 300.  (303.97 KB)
Sebastian Bader, Steffen Holldobler, Andreas Witzel, Pascal Hitzler. The Core Method: Connectionist Model Generation for First-Order Logic Programs. In 2007.  (0 bytes)
Sebastian Bader, Steffen Holldobler, Pascal Hitzler. The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence. In Third International Conference on Information. Tokyo, Japan; 2004.  (166.22 KB)
Sebastian Bader, Steffen Holldobler, Pascal Hitzler. Connectionist Model Generation: A First-Order Approach. Neurocomputing. 2008 ;:2420-2432.  (581.02 KB)