Krishnaprasad Thirunarayan

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 73

Top Venues

Publications

Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. AAAI Spring Symposia (2024)
Maziyar Baranpouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi, Krishnaprasad Thirunarayan, Lingwei Chen
Enhancing Rare Cell Type Identification in Single-Cell Data: An Innovative Gene Filtering Approach using Bipartite Cell-Gene Relation Graph. BHI (2023)
C. Akalya devi, D. Karthika Renuka, G. Pooventhiran, D. Harish, Shweta Yadav, Krishnaprasad Thirunarayan
Towards enhancing emotion recognition via multimodal framework. J. Intell. Fuzzy Syst. 44 (2) (2023)
Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. ICDH (2023)
Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. CoRR (2023)
Hossein Mohammadi, Krishnaprasad Thirunarayan, Lingwei Chen
CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index. Sensors 23 (24) (2023)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. CoRR (2022)
Ankita Agarwal, Krishnaprasad Thirunarayan, William L. Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. CoRR (2022)
Ankita Agarwal, Krishnaprasad Thirunarayan, William L. Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. EMBC (2022)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature. CoRR (2022)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. EMBC (2022)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. ICPR (2022)
Amit P. Sheth, Krishnaprasad Thirunarayan
The Inescapable Duality of Data and Knowledge. CoRR (2021)
Amit P. Sheth, Krishnaprasad Thirunarayan
The Duality of Data and Knowledge Across the Three Waves of AI. IT Prof. 23 (3) (2021)
Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. CoRR (2021)
Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois R. Lamy, Krishnaprasad Thirunarayan, Usha Lokala, Amit P. Sheth
eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. WWW (2020)
Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. ICPR Workshops (2) (2020)
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. IEEE BigData (2020)
Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter. CoRR (2020)
Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine
Predicting Early Indicators of Cognitive Decline from Verbal Utterances. BIBM (2020)
Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine
Predicting Early Indicators of Cognitive Decline from Verbal Utterances. CoRR (2020)
Amanuel Alambo, Ryan Andrew, Sid Gollarahalli, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel M. Abrams, Nirmish Shah
Measuring Pain in Sickle Cell Disease using Clinical Text. EMBC (2020)
Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework. CoRR (2020)
Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. CoRR (2020)
Amanuel Alambo, Ryan Andrew, Sid Gollarahalli, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel M. Abrams, Nirmish Shah
Measuring Pain in Sickle Cell Disease using Clinical Text. CoRR (2020)
Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. KiML@KDD (2020)
Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter. SocInfo (2020)
Shweta Yadav, Usha Lokala, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Francois R. Lamy, Amit P. Sheth
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction. CoRR (2020)
Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework. COLING (2020)
Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak
Comparing Suicide Risk Insights derived from Clinical and Social Media data. CoRR (2020)
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. CoRR (2020)
Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. CoRR (2020)
Hussein S. Al-Olimat, Valerie L. Shalin, Krishnaprasad Thirunarayan, Joy Prakash Sain
Towards Geocoding Spatial Expressions (Vision Paper). SIGSPATIAL/GIS (2019)
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. CoRR (2019)
Saeedeh Shekarpour, Faisal Alshargi, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth
CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations. ICSC (2019)
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Krishnaprasad Thirunarayan, Amit P. Sheth
kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management. SMARTCOMP (2019)
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Farahnaz Golrooy Motlagh, Saeedeh Shekarpour, Amit P. Sheth, Krishnaprasad Thirunarayan, Michael L. Raymer
Predicting public opinion on drug legalization: social media analysis and consumption trends. ASONAM (2019)
Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy
A Pipeline for Disaster Response and Relief Coordination. SIGIR (2019)
Hussein S. Al-Olimat, Valerie L. Shalin, Krishnaprasad Thirunarayan, Joy Prakash Sain
Towards Geocoding Spatial Expressions. CoRR (2019)
Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit P. Sheth, Randon S. Welton, Jyotishman Pathak
Question Answering for Suicide Risk Assessment Using Reddit. ICSC (2019)
Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, William L. Romine, Amirhassan Monadjemi, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health. CoRR (2019)
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)
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)
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. CoRR (2018)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
Predictive Analysis on Twitter: Techniques and Applications. CoRR (2018)
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth
Publishing a Quality Context-aware Annotated Corpus and Lexicon for Harassment Research. CoRR (2018)
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)
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)
Saeedeh Shekarpour, Ankita Saxena, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth
Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter. CoRR (2018)
Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, Amit P. Sheth
A Practical Incremental Learning Framework For Sparse Entity Extraction. CoRR (2018)
Revathy Venkataramanan, Dipesh Kadariya, Hong Yung Yip, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Amit P. Sheth
Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application. CoRR (2018)
Hussein Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, Amit P. Sheth
A Practical Incremental Learning Framework For Sparse Entity Extraction. COLING (2018)
Mohammadreza Rezvan, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth
Analyzing and learning the language for different types of harassment. CoRR (2018)
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)
Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy
D-record: Disaster Response and Relief Coordination Pipeline. ARIC@SIGSPATIAL (2018)
Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Saeedeh Shekarpour
Personalized Health Knowledge Graph. CKGSemStats@ISWC (2018)
Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Mental Health Analysis Via Social Media Data. ICHI (2018)
Amit P. Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee
Augmented personalized health: How smart data with IoTs and AI is about to change healthcare. RTSI (2017)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. CoRR (2017)
Amit P. Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan
Knowledge will propel machine understanding of content: extrapolating from current examples. WI (2017)
Amit P. Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan
Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. CoRR (2017)
Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit P. Sheth
Adaptive training instance selection for cross-domain emotion identification. WI (2017)
Saeedeh Shekarpour, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth
CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation. CoRR (2017)
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng
Relatedness-based Multi-Entity Summarization. IJCAI (2017)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. ASONAM (2017)
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit P. Sheth, Krishnaprasad Thirunarayan
Implicit Entity Linking in Tweets. CoRR (2017)
Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. CoRR (2017)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth, Gong Cheng
Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. ESWC (2016)
Jacob Ross, Krishnaprasad Thirunarayan
Features for Ranking Tweets Based on Credibility and Newsworthiness. CTS (2016)
Nishita Jaykumar, Pavankalyan Yallamelli, Vinh Nguyen, Sarasi Lalithsena, Krishnaprasad Thirunarayan, Amit P. Sheth, Clare Paul
KnowledgeWiki: An OpenSource Tool for Creating Community-Curated Vocabulary, with a Use Case in Materials Science. LDOW@WWW (2016)
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit P. Sheth, Tanvi Banerjee
Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. AAAI (2016)
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit P. Sheth, Krishnaprasad Thirunarayan
Implicit Entity Linking in Tweets. ESWC (2016)
Ajith Ranabahu, E. Michael Maximilien, Amit P. Sheth, Krishnaprasad Thirunarayan
Application Portability in Cloud Computing: An Abstraction-Driven Perspective. IEEE Trans. Serv. Comput. 8 (6) (2015)
Pramod Anantharam, Tanvi Banerjee, Amit P. Sheth, Krishnaprasad Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini G. Forbis
Knowledge-Driven Personalized Contextual mHealth Service for Asthma Management in Children. IEEE MS (2015)
Vinh Nguyen, Olivier Bodenreider, Krishnaprasad Thirunarayan, Gang Fu, Evan Bolton, Núria Queralt-Rosinach, Laura Inés Furlong, Michel Dumontier, Amit P. Sheth
On Reasoning with RDF Statements about Statements using Singleton Property Triples. CoRR (2015)
Krishnaprasad Thirunarayan
Value-oriented Big Data processing with applications. CTS (2015)
Krishnaprasad Thirunarayan, Amit P. Sheth
Semantics-Empowered Big Data Processing with Applications. AI Mag. 36 (1) (2015)
Sujan Perera, Pablo N. Mendes, Amit P. Sheth, Krishnaprasad Thirunarayan, Adarsh Alex, Christopher Heid, Greg Mott
Implicit Entity Recognition in Clinical Documents. *SEM@NAACL-HLT (2015)
Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan
Knowledge Enabled Approach to Predict the Location of Twitter Users. ESWC (2015)
Hemant Purohit, Guozhu Dong, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth
Intent Classification of Short-Text on Social Media. SmartCity (2015)
Delroy Cameron, Ramakanth Kavuluru, Thomas C. Rindflesch, Amit P. Sheth, Krishnaprasad Thirunarayan, Olivier Bodenreider
Context-driven automatic subgraph creation for literature-based discovery. J. Biomed. Informatics 54 (2015)
Pramod Anantharam, Payam M. Barnaghi, Krishnaprasad Thirunarayan, Amit P. Sheth
Extracting City Traffic Events from Social Streams. ACM Trans. Intell. Syst. Technol. 6 (4) (2015)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth
FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering. AAAI (2015)
Charles Vardeman, Adila Krisnadhi, Michelle Cheatham, Krzysztof Janowicz, Holly Ferguson, Pascal Hitzler, Aimee Buccellato, Krishnaprasad Thirunarayan, Gary Berg-Cross, Torsten Hahmann
An Ontology Design Pattern for Material Transformation. WOP (2014)
Sujan Perera, Cory A. Henson, Krishnaprasad Thirunarayan, Amit P. Sheth, Suhas Nair
Semantics Driven Approach for Knowledge Acquisition From EMRs. IEEE J. Biomed. Health Informatics 18 (2) (2014)
Chad Arnold, Jonathan Butts, Krishnaprasad Thirunarayan
Detecting Integrity Attacks on Industrial Control Systems. Critical Infrastructure Protection (2014)
Delroy Cameron, Amit P. Sheth, Nishita Jaykumar, Krishnaprasad Thirunarayan, Gaurish Anand, Gary A. Smith
A Hybrid Approach to Finding Relevant Social Media Content for Complex Domain Specific Information Needs. CoRR (2014)
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit P. Sheth
Cursing in English on twitter. CSCW (2014)
Delroy Cameron, Amit P. Sheth, Nishita Jaykumar, Krishnaprasad Thirunarayan, Gaurish Anand, Gary A. Smith
A hybrid approach to finding relevant social media content for complex domain specific information needs. J. Web Semant. 29 (2014)
Amit P. Sheth, Pramod Anantharam, Krishnaprasad Thirunarayan
Applications of multimodal physical (IoT), cyber and social data for reliable and actionable insights. CollaborateCom (2014)
Krishnaprasad Thirunarayan, Pramod Anantharam, Cory A. Henson, Amit P. Sheth
Comparative trust management with applications: Bayesian approaches emphasis. Future Gener. Comput. Syst. 31 (2014)
Krishnaprasad Thirunarayan, Amit P. Sheth
Semantics-Empowered Approaches to Big Data Processing for Physical-Cyber-Social Applications. AAAI Fall Symposia (2013)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Prateek Jain, Amit P. Sheth, Sanjaya Wijeratne
A statistical and schema independent approach to identify equivalent properties on linked data. I-SEMANTICS (2013)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit P. Sheth
Types of Property Pairs and Alignment on Linked Datasets - A Preliminary Analysis. I-SEMANTICS (Posters & Demos) (2013)
Delroy Cameron, Olivier Bodenreider, Hima Yalamanchili, Tu Danh, Sreeram Vallabhaneni, Krishnaprasad Thirunarayan, Amit P. Sheth, Thomas C. Rindflesch
A graph-based recovery and decomposition of Swanson's hypothesis using semantic predications. J. Biomed. Informatics 46 (2) (2013)
Sujan Perera, Amit P. Sheth, Krishnaprasad Thirunarayan, Suhas Nair, Neil Shah
Challenges in understanding clinical notes: why NLP engines fall short and where background knowledge can help. DARE@CIKM (2013)
Pramod Anantharam, Krishnaprasad Thirunarayan, Amit P. Sheth
Topical anomaly detection from Twitter stream. WebSci (2012)
Cory A. Henson, Krishnaprasad Thirunarayan, Amit P. Sheth
An Efficient Bit Vector Approach to Semantics-Based Machine Perception in Resource-Constrained Devices. ISWC (1) (2012)
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit P. Sheth
Harnessing Twitter "Big Data" for Automatic Emotion Identification. SocialCom/PASSAT (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Krishnaprasad Thirunarayan