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literature-based discovery
Delroy Cameron, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Olivier Bodenreider. Semantic Predications for Complex Information Needs in Biomedical Literature. 2011 IEEE International Conference on Bioinformatics and Biomedicine. Atlanta, GA: IEEE; 2011.
Delroy Cameron, Ramakanth Kavuluru, Olivier Bodenreider, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan. Semantic Predications for Complex Information Needs in Biomedical Literature. In 5th International Conference on Bioinformatics and Biomedicine (BIBM2011). Atlanta GA: 2011 IEEE International Conference on Bioinformatics and Biomedicine; 2011.  (471.3 KB)
Linked Open Data
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Prateek Jain, Amit Sheth, Sanjaya Wijeratne. A Statistical and Schema Independent Approach to Identify Equivalent Properties on Linked Data. 9th International Conference on Semantic Systems (I-SEMANTICS). Graz, Austria; 2013. p. 33-40.  (1.86 MB) (635.53 KB)
Linked Data
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth. Types of Property Pairs and Alignment on Linked Datasets - A Preliminary Analysis. In I-SEMANTICS 2013 Posters & Demonstrations Track (ACM 2013). Messe Graz, Austria; 2013.  (519.61 KB)
linear dynamical system
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
large emotion-labeled dataset
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Language Understanding
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 KB)
Knowledge-enhanced NLP
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)
Knowledge-enhanced Machine Learning
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)
Knowledge-driven deep content understanding
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)
knowledge graph
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 KB)
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 KB)
Knowledge Base
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)
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
knowledge acquisition
Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair. Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in Healthcare. In International Conference on Bioinformatics and Biomedicine. Philadelphia, USA: International Conference on Bioinformatics and Biomedicine; 2012.  (799.91 KB)
Internet of Things
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017.  (389.45 KB)
Interleaved deduction and abduction
Krishnaprasad Thirunarayan. Value Oriented Big Data Processing with Applications. In 2015 International Conference on Collaboration Technologies and Systems (CTS 2015). Atlanta, Georgia; 2015.  (3.77 MB)
Intent Mining
Hemant Purohit, Guozhu Dong, Valerie Shalin, Krishnaprasad Thirunarayan, Amit Sheth. Intent Classification of Short-Text on Social Media. In SocialCom 2015: 8th IEEE International Conference on Social Computing and Networking. Chengdu, China: IEEE; 2015.  (485.79 KB)
intellectual
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)
Implicit information extraction
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)
Implicit Entity Recognition
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 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)
Implicit Entities
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit Sheth, Krishnaprasad Thirunarayan. Implicit Entity Linking in Tweets. Extended Semantic Web Conference. Heraklion, Crete, Greece : Springer; 2016. p. 118-132.  (365.33 KB) (530.27 KB)
Hybrid reasoning
Krishnaprasad Thirunarayan. Value Oriented Big Data Processing with Applications. In 2015 International Conference on Collaboration Technologies and Systems (CTS 2015). Atlanta, Georgia; 2015.  (3.77 MB)
Hierarchical Conceptual Clustering
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth. FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering. In 29th AAAI Conference on Artificial Intelligence (AAAI 2015). Austin, Texas; 2015.  (562.36 KB)
harnessing Twitter big data
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Harassment detection
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)
harassment
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)
Graphical models
Pramod Anantharam, Krishnaprasad Thirunarayan, Amit Sheth. Traffic Analytics using Probabilistic Graphical Models Enhanced with Knowledge Bases. In 2nd International Workshop on Analytics for Cyber-Physical Systems (ACS-2013) at SIAM International Conference on Data Mining (SDM 2013). Austin, Texas; 2013.  (1.45 MB)

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