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2018
Amelie Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Amit Sheth. Personalized Health Knowledge Graph. In Contextualized Knowledge Graph (CKG) Workshop International Semantic Web Conference (ISWC) 2018. Monterey, California, USA: LNCS; 2018. Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth and Saeedeh Shekarpour. Personalized Health Knowledge Graph. 1st Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference (ISWC), 8-12 October 2018, Monterey, USA.
Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth and Saeedeh Shekarpour. Personalized Health Knowledge Graph. 1st Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference (ISWC), 8-12 October 2018, Monterey, USA.
 (861.22 KB) (371.57 KB)
Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit Sheth. Personalized Prediction of Suicide Risk for Web-based Intervention. 24th NIMH Conference on Mental Health Services Research (MHSR); 2018.  (1.33 MB)
Sagar Sharma, Keke Chen. Poster: Image Disguising for Privacy-preserving Deep Learning. ACM Conference on Computer and Communications Security (CCS) 2018; 2018.  (1.04 MB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, Ismailcem Budak Arpinar. Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. p. 39-79.  (514.1 KB)
Sagar Sharma, Keke Chen. Privacy-Preserving Boosting with Random Linear Classifiers. ACM Conference on Computer and Communications Security (CCS) 2018; 2018.  (724.46 KB)
2017
Utkarshani Jaimini. PhD Forum: Multimodal IoT and EMR Based Smart Health Application for Asthma Management in Children. In 2017 IEEE International Conference on Smart Computing (SMARTCOMP). Hong Kong, China: IEEE; 2017.  (119.37 KB)
Sharma S, Chen K. PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). Atlanta,GA,USA; 2017. p. 2507-2510.  (450.54 KB)
Sagar Sharma, Keke Chen. PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference. Atlanta, GA, USA: IEEE; 2017.
2016
Bradley Schneider, Tanvi Banerjee. Preliminary Investigation of Walking Motion Using a Combination of Image and Signal Processing. In 2016 International Conference on Computational Science and Computational Intelligence. Las Vegas, NV; 2016.  (514.03 KB)
Sagar Sharma, James Powers, Keke Chen. Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. Asia Conference on Computer and Communications Security 2016. Xi'an, China: ACM; 2016. p. 71-82.
2013
Amit Sheth, Pramod Anantharam. Physical Cyber Social Computing: An Early 21st Century Approach to Computing for Human Experience. In International Conference on Web Intelligence, Mining and Semantics (WIMS '13). Madrid, Spain; 2013.  (1.53 MB)
Ramesh Jain, Amit Sheth, Steffen Staab, Payam Barnaghi, Markus Strohmaier. Physical-Cyber-Social Computing. Dagstuhl Seminar 13402. 2013. p. 245-263.
Amit Sheth, Pramod Anantharam, Cory Henson. Physical-Cyber-Social Computing: An Early 21st Century Approach. IEEE Intelligent Systems. 2013 ;28:78-82.  (2.83 MB)
David Fuhry, Yang Zhang, Venu Satuluri, Arnab Nandi, Srinivasan Parthasarthy. PLASMA-HD: Probing the Lattice Structure and Makeup of High-dimensional Data. VLDB Endowment. 2013. p. 1318-1321.
Pramod Anantharam, Krishnaprasad Thirunarayan, Vahid Taslimi, Amit Sheth. Predicting Parkinson's Disease Progression with Smartphone Data. 2013 .  (533.62 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)
Yiye Ruan, Hemant Purohit, David Fuhry, Srinivasan Parthasarthy, Amit Sheth. Prediction of User Engagement in Online Discussion Using Multi-faceted Features. Dayton: Wright State University; 2013 .
Delroy Cameron, Gary Alan Smith, Raminta Daniulaityte, Amit Sheth, Drashti Dave, Lu Chen, Gaurish Anand, Robert Carlson, Kera Watkins, Russel Falck. PREDOSE: A Semantic Web Platform for Drug Abuse Epidemiology using Social Media. 2013 ;.  (2.39 MB)
2011
Shasha Huang, Qingguo Li, Pascal Hitzler. Paraconsistent Semantics for Hybrid MKNF Knowledge Bases. In Web Reasoning and Rule Systems. 5th International Conference, RR 2011, Galway, Ireland, August 29-30, 2011. Galway, Ireland: Proceedings. Lecture Notes in Computer Science Vol. 6902, Springer, Heidelberg, 2011; 2011.
Pavan Kapanipathi, Fabrizio Orlandi, Amit Sheth, Alexandre Passant. Personalized Filtering of the Twitter Stream. In ISWC 2011. Bonn, Germany: International Semantic Web Conference; 2011.  (402.68 KB)
Pavan Kapanipathi, Julia Anaya, Amit Sheth, Brett Slatkin, Alexandre Passant. Privacy-Aware and Scalable Content Dissemination in Distributed Social Networks. In International Semantic Web Conference InUSe. Bonn, Germany; 2011.
Alexandre Passant, Owen Sacco, Julia Anaya, Pavan Kapanipathi. Privacy-By-Design in Federated Social Web Applications. In Web Science 2011. Koblenz, Germany; 2011.  (1.09 MB)
2010
Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong. Pattern Space Maintenance for Data Updates and Interactive Mining. Computational Intelligence. 2010 ;26(3): 282-317.  (559.41 KB)
Wenbo Wang, Christopher Thomas, Amit Sheth, Victor Chan. Pattern-Based Synonym and Antonym Extraction. In 48th ACM Southeast Conference. Oxford, Mississippi; 2010.  (98.05 KB)
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)
Ashwin Manjunatha, Ajith Ranabahu, Amit Sheth, Krishnaprasad Thirunarayan. Power of Clouds In Your Pocket: An Efficient Approach for Cloud Mobile Hybrid Application Development. In 2nd IEEE International Conference on Cloud Computing Technology and Science. Indianapolis, Indiana; 2010.  (668 KB)
Miltiadis Lytras, Amit Sheth. Progressive Concepts for Semantic Web Evolution: Applications and Developments. Pennsylvania: IGI Global; 2010.
Harshal Patni, Satya S. Sahoo, Cory Henson, Amit Sheth. Provenance Aware Linked Sensor Data. In 2nd Workshop on Trust and Privacy on the Social and Semantic Web. Heraklion Greece; 2010.  (748.3 KB)
Satya S. Sahoo, Krishnaprasad Thirunarayan, Olivier Bodenreider, Pascal Hitzler, Amit Sheth. Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data. In SSDBM2010. The 22nd International Conference on Scientific and Statistical Database Management (SSDBM) 2010; 2010.  (810.08 KB)
Satya Sahoo, Olivier Bodenreider, Krishnaprasad Thirunarayan, Pascal Hitzler, Amit Sheth. Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data. Scientific and Statistical Database Management (SSDBM 2010). Heidelberg, Germany; 2010. p. 461-470.  (534.62 KB)
2009
Yue Ma, Pascal Hitzler. Paraconsistent Reasoning for OWL 2. In Third International Conference, RR. Chantilly, VA, USA: Web Reasoning and Rule Systems, Third International Conference, RR 2009; 2009. p. 197-211.  (188.59 KB)
Stephan Grimm, Pascal Hitzler. A Preferential Tableaux Calculus for Circumscriptive ALCO. In International Conference, RR. Chantilly, VA, USA: International Conference, RR 2009; 2009. p. 40-54.  (244.34 KB)
Keke Chen, Ling Liu. Privacy-preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Transactions on Parallel and Distributed Systems. 2009 ;.
Amit Sheth, Pascal Hitzler, Krishnaprasad Thirunarayan, Satya S. Sahoo, Roger Barga. PrOM: A Semantic Web Framework for Provenance Management in Science. 2009.  (661.97 KB)
Satya S. Sahoo, Amit Sheth. Provenir ontology: Towards a Framework for eScience Provenance Management. In Microsoft eScience Workshop; 2009.  (279.27 KB)

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