Krishnaprasad Thirunarayan (T.K.Prasad)

    Department of Computer Science & Engineering  | Wright State University

 

 
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Selected Conference Papers

  • Maziar Baranpouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi, Krishnaprasad Thirunarayan, and Lingwei Chen: Enhancing Rare Cell Type Identication in Single-Cell Data: An Innovative Gene Filtering Approach using Bipartite Cell-Gene Relation Graph, The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2023), 5 pages, 2023.
  • Ankita Agarwal, Krishnaprasad Thirunarayan, William Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee: Leveraging Machine Learning to Mine Themes in Clinical Notes of Patients Admitted for Heart Failure, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022.
  • Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita: Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022.
  • Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael Raymer: Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature, 26th International Conference on Pattern Recognition, 2022.
  • Amanuel Alambo, Daniel Foose, Swati Padhee, Cori Lohstroh, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael Raymer: TransFuse for Abstractive Summarization of Scientific Articles using Citation Contexts, 26th International Conference on Pattern Recognition, 2022.
  • Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth, Jyotishman Pathak: Comparing Suicide Risk Insights derived from Clinical and Social Media data, AMIA Informatics Conference, 2021.
  • Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan: COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. First Workshop on Artificial and Affective Intelligence in Healthcare Application for Vulnerable Populations (AIHA2020), 2021.
  • Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit Sheth and Jeremiah Schumm: Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework, COLING 2020 , 12 pages, 2020.
  • Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois Lamy, Krishnaprasad Thirunarayan, Usha Lokala and Amit Sheth: eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. WWW '20: The Web Conference 2020. 11 pages, 2020.
  • Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit Sheth and I. Budak Arpinar, ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter SocInfo20 (Social Informatics 2020),13 pages, 2020.
  • Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan: Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak, In: Workshop on Knowledge-infused Mining and Learning (KDD-KiML 2020), (co-located with ACM KDD conference), 4 pages, 2020.
  • Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael Raymer, Topic-centric Unsupervised Multi-document Summarization of Scientific and News Articles, 2020 IEEE Big Data Conference. (6 pages)
  • Amanuel Alambo, Ryan Andrew, Sid Gollarahalli, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel Abrams, Nirmish Shah: Measuring Pain in Sickle Cell Disease using Clinical Text, In: 42nd Annual International Conference of theIEEE Engineering in Medicine and Biology Society (EMBC), 4 pages, 2020.
  • Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois Lamy, Krishnaprasad Thirunarayan, Usha Lokala and Amit Sheth: eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. In: WWW '20: The Web Conference 2020 . pp. 1995-1965, 2020.
  • Hussein S Al-Olimat, Valerie L Shalin, Krishnaprasad Thirunarayan, Joy Prakash Sain. 2019. Towards Geocoding Spatial Expressions (Vision Paper). In: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19). ACM, Chicago, IL. 4 pages, 2019. [Second Place winner of CCC Blue Sky Idea Award]
  • Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, Amit Sheth: Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate, In: The 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2019), 21 pages, 2019.
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  • Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak: Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW 2019: 514-525
  • Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. 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. CIKM 2018: 753-762
  • Hussein Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, Amit P. Sheth: A Practical Incremental Learning Framework For Sparse Entity Extraction. COLING 2018: 700-710
  • Hussein Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth: Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. COLING 2018: 1986-1997
  • 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),  2018.
  •  Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar: What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding. WI 2018: 474-479
  • Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth: A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. WebSci 2018: 33-36
  • Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan,  Jyotishman Pathak, Amit Sheth: Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media, The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), 2017.
  • Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, and Tanvi Banerjee: Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare, 2017 3rd International Forum on Research and Technologies for Society and Industry (RTSI), 2017.
  • Amit Sheth, Sanjaya Wijeratne, Sujan Perera, and Krishnaprasad Thirunarayan: Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples, In: 2017 IEEE/WIC/ACM International Conference on Web Intelligence, 2017.
  • Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, and Gong Cheng: Relatedness-based Multi-Entity Summarization, In: The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), pp. 1060-1066, 2017.
  • Jacob Ross and Krishnaprasad Thirunarayan: Features for Ranking Tweets Based on Credibility and Newsworthiness, The 2016 International Conference on Collaboration Technologies and Systems (CTS 2016), pp. 18-25, 2016. (DOI 10.1109/CTS.2016.21).
  • N. Jaykumar, P. Yallamelli, V. Nguyen, S. Lalithsena, K. Thirunarayan, A. Sheth, C. Paul. KnowledgeWiki:  An OpenSource Tool for Creating Community Curated Vocabulary, with a Use Case in Materials Science, Workshop on Linked Data on the Web (LDOW2016) (Co-located with WWW2016), 2016.
  • Sujan Perera, Pablo Mendes, Adarsh Alex, Amit Sheth and Krishnaprasad Thirunarayan: Implicit Entity Linking in Tweets, In:  13th European Semantic Web Conference (ESWC 2016), pp. 118-132, 2016.
  • Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth and Gong Cheng: Gleaning Types for Literals in RDF Triples with Application to Entity Summarization, In: 13th European Semantic Web Conference (ESWC 2016), pp. 85-100, 2016.
  • P. Anantharam, K. Thirunarayan, S. Marupudi, A. Sheth, Tanvi Banerjee: Understanding City Trac Dynamics Utilizing Sensor and Textual Observations. In: 13th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; February 2016.
  • K. Gunaratna, K. Thirunarayan, and A. Sheth: FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering, 29th AAAI Conference on Artificial Intelligence (AAAI 2015), pp. 116-122, 2015.
  • P. Anantharam, T. Banerjee, A. Sheth, K. Thirunarayan, S. Marupudi, V. Sridharan, S. G. Forbis, Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children,  IEEE 4th International Conference on Mobile Services, pp. 284-291, 2015.
  • R. Krishnamurthy, P. Kapanipathi, A. Sheth and K. Thirunarayan: Knowledge Enabled Approach to Predict the Location of Twitter Users,  12th European Semantic Web Conference (ESWC 2015),  pp. 187-201, 2015.
  • Perera S, Mendes P, Sheth A, Thirunarayan K, Alex A, Heid C, and Greg Mott. Implicit Entity Recognition in Clinical Documents. In: 4th Joint Conference on Lexical and Computational Semantics (*SEM) 2015. Denver, CO: Association for Computational Linguistics. pp. 228-238, 2015
  • Purohit H, Dong G, Shalin V, Thirunarayan K, Sheth A. Intent Classification of Short-Text on Social Media. In: SocialCom 2015: 8th IEEE International Conference on Social Computing and Networking. Chengdu, China: IEEE; 2015.
  • A. Sheth, P. Anantharam, K. Thirunarayan: kHealth: Proactive Personalized Action-able Information for Better Healthcare, Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014), Collocated with VLDB 2014, 8 pages.
  • A. Sheth, P. Anantharam, K. Thirunarayan: Applications of Multimodal Physical (IoT), Cyber and Social Data for Reliable and Actionable insights, C-IOT : 2nd International Workshop on Internet of Things, In Conjunction with: the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014), 6 pages.
  • C. Vardeman, A. Krisnadhi, M. Cheatham, K. Janowicz, H. Ferguson, P. Hitzler, A. Buccellato, K. Thirunarayan, G. Berg-Cross and T. Hahmann: Material Transformation ( An Ontology Design Pattern for Material Transformation)*, Workshop on Ontology and Semantic Web Patterns (WOP 2014), pp. 3-13.
  • W. Wang, L. Chen, K. Thirunarayan and A. P. Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014), pp. 415-425, 2014.
  • K. Thirunarayan and A. Sheth: Semantics-empowered Approaches to Big Data Processing for Physical-Cyber-Social Applications, Proceedings of AAAI 2013 Fall Symposium on Semantics for Big Data, Arlington, Virginia, 8 pages, November 15-17, 2013. (TALK)
  • S. Perera, A. Sheth, K. Thirunarayan, S. Nair and N. 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 at ACM Conference of Information and Knowledge Management (CIKM), 6 pages, 2013.
  • K. Gunaratna, K. Thirunarayan, P. Jain, A. Sheth, and S. Wijeratne. A statistical and schema independent approach to identify equivalent properties on linked data. Proceedings of the 9th ACM International Conference on Semantic Systems (i-Semantics), pp. 33-40, 2013.
  • P. Anantharam, K. Thirunarayan, and A. Sheth, Traffic Analytics using Probabilistic Graphical Models Enhanced with Knowledge Bases, 2nd International Workshop on  Analytics for Cyber-Physical Systems,  (ACS-2013), 8 pages, 2013
  • S. Perera, C. A. Henson, K. Thirunarayan, A. P. Sheth, and S. Nair: Data driven knowledge acquisition method for domain knowledge enrichment in the healthcare. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2012: 1-8.
  • Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit P. Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 ASE International Conference on Social Computing (SocialCom/PASSAT 2012), pp.
    587-592, 2012.
  • C. A. Henson, K. Thirunarayan, and A. P. Sheth: An Efficient Bit Vector Approach to Semantics-Based Machine Perception in Resource-Constrained Devices. International Semantic Web Conference (1) 2012: 149-164.
  • P. Anantharam, K. Thirunarayan, and A. Sheth, Topical Anomaly Detection for Twitter Stream, In: Proceedings of ACM Web Science 2012, In Conjunction with NetSci 2012 Evanston, Illinois, June 22-24, 2012.
  • C. Henson, K. Thirunarayan, A. Sheth and P. Hitzler, Representation of Parsimonious Covering Theory in OWL-DL, In: Proceedings of 2011 OWL: Experiences and Direction (OWLED), San Franscisco, June, 2011.
  • K. Thirunarayan and P. Anantharam, Trust Networks: Interpersonal, Sensor, and Social, In: Proceedings of 2011 International Conference on Collaborative Technologies and Systems (CTS 2011), Philadelphia, Pennsylvania, USA, May 23-27, 2011. (TALK)
  • A. Ranabahu, A. Sheth, A. Manjunatha, and K. Thirunarayan, Towards Cloud Mobile Hybrid Application Generation using Semantically Enriched Domain Specific Languages, International Workshop on Mobile Computing and Clouds (MobiCloud 2010), Santa Clara, CA, October 28, 2010.
  • S. Sahoo, O. Bodenreider, P. Hitzler, A. P. Sheth and K. Thirunarayan, Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data, In:Proceedings of International Conference on Scientific and Statistical Database Management (SSDBM 2010), M. Gertz and B. Ludäscher (Eds.): SSDBM 2010, LNCS 6187, pp. 461--470,
    Springer, Heidelberg, July 2010.
  • K. Thirunarayan, P. Anantharam, C. A. Henson, A. P. Sheth, Some Trust Issues in Social Networks and Sensor Networks, In: Proceedings of the Collaborative Trusted Sensing Special Session at the International Symposium on Collaborative Technologies and Systems (CTS 2010), Chicago, IL, 8 pages, May 2010.
  • K. Thirunarayan, D. K. Althuru, C. A. Henson, and A. P. Sheth, A Local Qualitative Approach to Referral and Functional Trust, In: Proceedings of the The 4th Indian International Conference on Artificial Intelligence (IICAI-09), December 2009.
  • K. Thirunarayan, C. A. Henson, A. P. Sheth, Situation Awareness via Abductive Reasoning for Semantic Sensor Data: A Preliminary Report, In: Proceedings of 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009), Baltimore, MD, May 18-22, 2009.
  • K. Thirunarayan, and J. K. Pschorr, Semantic Information and Sensor Networks,  In: Proceedings of the 24th Annual ACM Symposium on Applied Computing (ACM SAC 2009),  pp. 1273-1274, March 2009. 
  • K. Thirunarayan, and R. Verma, A Framework for Trust and Distrust Networks, In: Proceedings of  Web 2.0 Trust Workshop (W2Trust),  June 2008.
  • K. Thirunarayan, T. Immaneni, and M. Shaik, Selecting Labels for News Document Clusters, In: Proceedings of 12th International Conference on Applications of Natural Language to Information Systems (NLDB 2007), LNCS 4592, pp. 119-130, June 2007.
  • K. Cleereman, M. Cheatham, and K. Thirunarayan, Runtime Support of Speculative Optimization for Offline Escape Analysis, In: Proceedings of the International Conference on Software Engineering Research and Practice (SERP'07),  pp. 484-489, June 2007.
  • T. Immaneni and K. Thirunarayan, A Unified approach To Retrieving Web Documents and Semantic Web Data, In: Proceedings of the 4th European Semantic Web Conference (ESWC 2007), LNCS 4519, pp. 579-593, June 2007. (pdf)
  • T. Immaneni, and K. Thirunarayan, Hybrid Retrieval from the Unified Web, In: Proceedings of the 22nd Annual ACM Symposium on Applied Computing (ACM SAC 2007), pp. 1376-1380, March 2007.
  • K. Thirunarayan, and T. Immaneni, Flexible Querying of XML Documents, In: Proceedings of the 16th International Symposium on Methodologies for Intelligent Systems (ISMIS 2006), LNAI, Vol. 4203, pp. 198-207, September 2006.
  • K. Thirunarayan, and T. Immaneni, Formalizing and Querying Heterogeneous Documents with Tables, In: Proceedings of the The 2nd Indian International Conference on Artificial Intelligence (IICAI-05), pp. 769-778,  December 2005.
  • D. Ravishankar, K. Thirunarayan, and T. Immaneni, A Modular Approach to Document Indexing and Semantic Search, In: Proceedings of the IASTED International Conference on Web Technologies, Applications and Services, pp. 165 -170,  July 2005.
  • K. Thirunarayan, On Embedding Machine-Processable Semantics into Documents, In: Proceedings of 8th International Conference on Applications of Natural Language to Information Systems,   LNCS Vol. 3136, pp. 368-373,  June 2004.
  • K. Thirunarayan, and S. Carl, Toward a Comprehensive Supplement for Language Courses, In: Proceedings of International Conference on Information Systems and Engineering, pp. 174-179,  July 2003. (pdf)
  • K. Thirunarayan, A. Berkovich, S. Grace, and D. Sokol, Information Extraction for Reorganizing Specifications, In: Proceedings of 7th International Conference on Applications of Natural Language to Information Systems, LNI 29 GI, pp. 242-248, June 2003.
  • K. Thirunarayan, A. Berkovich, and D. Sokol, Semi-automatic Content Extraction from Specifications, In: Proceedings of 6th International Conference on Applications of Natural Language to Information Systems, LNCS 2553, pp. 40-51, June 2002.
  • Chris Kinzig, K. Thirunarayan, G. B. Lamont, and R. E. Marmelstein, Summarizing Data Sets for Classification, In: Proceedings of International Conference on Artificial Intelligence, pp. 681-687, May 2001. (icai.pdf)
  • Laura DeBrock and K. Thirunarayan, A VHDL Hardware Description Browser, In: Proceedings of Florida AI Research Symposium , pp. 145-149, May 1997.
  • K. Thirunarayan and Robert L. Ewing, Characterizing a portable subset of behavioral VHDL-93, In: Proceedings of Computer Hardware Description Languages, Chapman and Hall, pp. 97-113, April 1997. (chdl.ps.gz)
  • Robert Eastham and K. Thirunarayan, Proof Strategies for Hardware Verification, In: Proceedings of National Aerospace and Electronics Conference , pp. 451-458, 1996.
  • K. Thirunarayan, A meta-interpreter for circuit extraction, In: Proceedings of National Aerospace and Electronics Conference, pp. 680-684, 1994. (extract.ps.gz)
  • T. Krishnaprasad, M. Kifer and D.S. Warren, On the Declarative Semantics of Inheritance Networks, In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89), Morgan-Kaufmann, pp. 1093-1098, August 1989.
  • T. Krishnaprasad and M. Kifer, An Evidence-based Framework for a Theory of Inheritance, In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89), Morgan-Kaufmann, pp. 1099-1103, August 1989.
  • T. Krishnaprasad, Y.N. Srikant, and Priti Shankar, An Attribute Grammar-Based Compiler Generator, In: Proceedings of Computer Society of India, Annual Convention, 1985.
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