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Negation detection
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)
net-centric computing
Ram Sriram, Amit Sheth. Internet of Things Perspectives. IT Professional. 2015 ;14(3):60-63.  (143.09 KB)
Network analytics
Huda Alhazmi, Swapna Gokhale, Derek Doran. Understanding Social Effects in Online Networks. In International Symposium on Social Computing and Semantic Data Mining. Anaheim, California; 2015.  (209.63 KB)
Derek Doran. Triad-based Role Discovery for Large Social Systems. In: Luca Maria-Aiello, Daniel McFarland. Social Informatics: SocInfo 2014 International Workshops. 1st ed. Springer International Publishing; 2014. p. 130-143.  (863.5 KB)
Network computing
Ram Sriram, Amit Sheth. Internet of Things Perspectives. IT Professional. 2015 ;14(3):60-63.  (143.09 KB)
Network Science
Derek Doran, Veena Mendiratta. Propagation Models and Analysis for Mobile Phone Data Analytics. In: Dariusz Krol, Damien Fay, Bogdan Gabryś. Propagation Phenomena in Real World Networks. Switzerland: Springer International Publishing; 2015. p. 335-376.  (544 KB)
neural nets
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.
Nathan Rude, Derek Doran. 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.
neural network
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.
neural network training challenges
Marco Gori, Barbara Hammer, Pascal Hitzler, Guenther Palm. Perspectives and Challenges for Recurrent Neural Network Training. Logic Journal of the IGPL. 2010 ;:617-619.  (42.43 KB)
Neural networks
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.
next generation enterprise information integration
Amit Sheth. Semantic Meta Data for Enterprise Information Integration. 2003 ;.  (0 bytes)
Niobium
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.
NIST
Ram Sriram, Amit Sheth. Internet of Things Perspectives. IT Professional. 2015 ;14(3):60-63.  (143.09 KB)
NLP shortcomings
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)
NMR and metabolomics and DSL and Domain Specific Language
Ashwin Manjunatha, Ajith Ranabahu, Paul Anderson, Amit Sheth. Getting Code Near the Data: A Study of Generating Customized Data Intensive Scientific Workflows with Domain Specific Language. In 2nd IEEE International Conference on Cloud Computing Technology and Science. Indianapolis, IN; 2010.  (728.25 KB)
none has satisfactorily addressed the problem of Best K for categorical clustering. Since categorical data does not have an inherent distance function as the similarity measure
Ling Liu, Keke Chen. Best K: the Critical Clustering Structures in Categorical Data. 2008 ;.  (0 bytes)
nonmonotonic reasoning and hierarchial knowledge
Pascal Hitzler. Towards Nonmonotonic Reasoning on Hierarchical Knowledge. In WLP: Workshop Logische Programmierung; 2002.  (0 bytes)
Nuclear Magnetic Resonance
Ashwin Manjunatha, Paul Anderson, Ajith Ranabahu, Amit Sheth. Identifying and Implementing the Underlying Operators for Nuclear Magnetic Resonance Based Metabolomics Data Analysis. In 3rd International Conference on Bioinformatics and Computational Biology (BICoB-2011). New Orleans, Louisiana; 2011.  (343.39 KB)
Object recognition
Amit Sheth, Biplav Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7.  (230.68 KB)
offensive Lexicon
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth. A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. In Proceedings of the 10th {ACM} Conference on Web Science, WebSci 2018, Amsterdam, The Netherlands, May 27-30, 2018. Amsterdam, The Netherlands: ACM; 2018. p. 33–36.  (398.25 KB)
older adults
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.
On-line social media
Lan Lin, Aldo Dagnino, Derek Doran, Swapna Gokhale. Data Analytics for Power Utility Storm Planning. 6th International Conference on Knowledge Discovery and Information Retrieval. Rome, Italy; 2014.  (240.43 KB)
online health information seeking
Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak. An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014.  (78.67 KB)

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