Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Krishnaprasad Thirunarayan

Krishnaprasad Thirunarayan

Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure



Ankita Agarwal , Krishnaprasad Thirunarayan , William L. Romine , Amanuel Alambo , Mia Cajita , Tanvi Banerjee

Figure 1 for Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure
Figure 2 for Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure
* 4 pages, 2 tables, accepted in IEEE EMBC 2022 conference (IEEE International Engineering in Medicine and Biology Conference) 
   Access Paper or Ask Questions

Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization



Amanuel Alambo , Tanvi Banerjee , Krishnaprasad Thirunarayan , Mia Cajita

Figure 1 for Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization
Figure 2 for Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization
Figure 3 for Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization
Figure 4 for Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization
* Accepted to EMBC 2022 
   Access Paper or Ask Questions

Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature



Amanuel Alambo , Tanvi Banerjee , Krishnaprasad Thirunarayan , Michael Raymer

Figure 1 for Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature
Figure 2 for Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature
Figure 3 for Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature
Figure 4 for Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature
* Accepted to ICPR 2022 
   Access Paper or Ask Questions

The Duality of Data and Knowledge Across the Three Waves of AI



Amit Sheth , Krishnaprasad Thirunarayan

Figure 1 for The Duality of Data and Knowledge Across the Three Waves of AI
Figure 2 for The Duality of Data and Knowledge Across the Three Waves of AI
* IT Professional, 23 (3), April-May 2021 
 * A version of this will appear as (cite as): IT Professional Magazine (special section to commemorate the 75th Anniversary of IEEE Computer Society), 23 (3) April-May 2021 
   Access Paper or Ask Questions

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS



Manas Gaur , Vamsi Aribandi , Amanuel Alambo , Ugur Kursuncu , Krishnaprasad Thirunarayan , Jonanthan Beich , Jyotishman Pathak , Amit Sheth

Figure 1 for Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
Figure 2 for Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
Figure 3 for Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
Figure 4 for Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
* 24 Pages, 8 Tables, 6 Figures; Accepted by PLoS One ; One of the two mentioned Datasets in the manuscript has Closed Access. We will make it public after PLoS One produces the manuscript 
   Access Paper or Ask Questions

The Inescapable Duality of Data and Knowledge



Amit Sheth , Krishnaprasad Thirunarayan

Figure 1 for The Inescapable Duality of Data and Knowledge
Figure 2 for The Inescapable Duality of Data and Knowledge
* A version of this will appear as (cite as): IT Professional Magazine (special section to commemorate the 75th Anniversary of IEEE Computer Society), April-May 2021 
   Access Paper or Ask Questions

COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study



Amanuel Alambo , Swati Padhee , Tanvi Banerjee , Krishnaprasad Thirunarayan

Figure 1 for COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
Figure 2 for COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
Figure 3 for COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
Figure 4 for COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
* First workshop on computational & affective intelligence in healthcare applications in conjunction with ICPR 2021 
   Access Paper or Ask Questions

Predicting Early Indicators of Cognitive Decline from Verbal Utterances



Swati Padhee , Anurag Illendula , Megan Sadler , Valerie L. Shalin , Tanvi Banerjee , Krishnaprasad Thirunarayan , William L. Romine

Figure 1 for Predicting Early Indicators of Cognitive Decline from Verbal Utterances
Figure 2 for Predicting Early Indicators of Cognitive Decline from Verbal Utterances
Figure 3 for Predicting Early Indicators of Cognitive Decline from Verbal Utterances
Figure 4 for Predicting Early Indicators of Cognitive Decline from Verbal Utterances
* Camera-ready paper accepted for publication at IEEE BIBM 2020 
   Access Paper or Ask Questions

Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework



Shweta Yadav , Jainish Chauhan , Joy Prakash Sain , Krishnaprasad Thirunarayan , Amit Sheth , Jeremiah Schumm

Figure 1 for Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Figure 2 for Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Figure 3 for Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Figure 4 for Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
* Accepted for publication in COLING 2020 
   Access Paper or Ask Questions

Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles



Amanuel Alambo , Cori Lohstroh , Erik Madaus , Swati Padhee , Brandy Foster , Tanvi Banerjee , Krishnaprasad Thirunarayan , Michael Raymer

Figure 1 for Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Figure 2 for Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Figure 3 for Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Figure 4 for Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
* 6 pages, 6 Figures, 8 Tables. Accepted at IEEE Big Data 2020 (https://bigdataieee.org/BigData2020/AcceptedPapers.html) 
   Access Paper or Ask Questions
1
2
3
>>