default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTanvi Banerjee
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c35]Ankita Agarwal, Tanvi Banerjee, William L. Romine, Mia Cajita:
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications. IEEE Big Data 2024: 6411-6419- [c34]Benjamin Holmes, Michael L. Raymer, Tanvi Banerjee:
Extraction of patients subpopulations with psychiatric symptoms using a transformer architecture. EMBC 2024: 1-4 - [c33]William L. Romine, Tanvi Banerjee, Noah L. Schroeder:
Measuring Skin Temperature as an Indicator for Cognitive Flow Using a Wrist-worn Wearable. EMBC 2024: 1-4 - [c32]Douglas Townsell, Tanvi Banerjee, Lingwei Chen, Michael L. Raymer:
Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention. EMBC 2024: 1-4 - [i21]Ankita Agarwal, Tanvi Banerjee, William L. Romine, Mia Cajita:
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications. CoRR abs/2411.10544 (2024) - 2023
- [j14]Caroline Vuong, Kumar Utkarsh, Rebecca Stojancic, Arvind Subramaniam, Olivia Fernandez, Tanvi Banerjee, Daniel M. Abrams, Karin Fijnvandraat, Nirmish Shah:
Use of consumer wearables to monitor and predict pain in patients with sickle cell disease. Frontiers Digit. Health 5 (2023) - [j13]Josephine Graft, William L. Romine, Brooklynn Watts, Noah L. Schroeder, Tawsik Jawad, Tanvi Banerjee:
A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students. Sensors 23(8): 3957 (2023) - [c31]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: 208-216 - [i20]Ankita Agarwal, Tanvi Banerjee, Joy Gockel, Saniya LeBlanc, Joe Walker, John Middendorf:
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing. CoRR abs/2303.15663 (2023) - [i19]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 abs/2305.19373 (2023) - [i18]Swati Padhee, Tanvi Banerjee, Daniel M. Abrams, Nirmish Shah:
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction. CoRR abs/2310.06075 (2023) - 2022
- [j12]William L. Romine, Noah L. Schroeder, Tanvi Banerjee, Josephine Graft:
Toward Mental Effort Measurement Using Electrodermal Activity Features. Sensors 22(19): 7363 (2022) - [c30]Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita:
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. EMBC 2022: 1615-1618 - [c29]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: 2643-2646 - [c28]Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer:
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. ICPR 2022: 613-620 - [i17]Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer:
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature. CoRR abs/2203.15959 (2022) - [i16]Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita:
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. CoRR abs/2204.00797 (2022) - [i15]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 abs/2204.07074 (2022) - 2021
- [j11]Mark J. Panaggio, Daniel M. Abrams, Fan Yang, Tanvi Banerjee, Nirmish Shah:
Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease. PLoS Comput. Biol. 17(3) (2021) - [c27]Bradley Schneider, Tanvi Banerjee:
Bridging the Gap between Atomic and Complex Activities in First Person Video. FUZZ-IEEE 2021: 1-6 - [i14]Gary K. Nave Jr., Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Nirmish Shah, Daniel M. Abrams:
Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples. CoRR abs/2108.13963 (2021) - 2020
- [j10]William L. Romine, Noah L. Schroeder, Josephine Graft, Fan Yang, Reza Sadeghi, Mahdieh Zabihimayvan, Dipesh Kadariya, Tanvi Banerjee:
Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use. Sensors 20(17): 4833 (2020) - [c26]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: 477-480 - [c25]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: 591-596 - [c24]Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. IEEE BigData 2020: 886-891 - [c23]Ankita Agarwal, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination. IEEE BigData 2020: 4981-4987 - [c22]Reza Sadeghi, Tanvi Banerjee, John Hughes:
Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability. EMBC 2020: 5571-5574 - [c21]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: 5838-5841 - [c20]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: 20-27 - [c19]Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr., Nirmish Shah:
Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits. ICPR Workshops (2) 2020: 77-85 - [c18]William L. Romine, Noah L. Schroeder, Anjali Edwards, Tanvi Banerjee:
Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor. ICPR Workshops (2) 2020: 86-95 - [i13]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 abs/2008.11081 (2020) - [i12]Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. CoRR abs/2011.00377 (2020) - [i11]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 abs/2011.08072 (2020) - [i10]Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan:
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. CoRR abs/2011.10518 (2020) - [i9]Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr., Nirmish Shah:
Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits. CoRR abs/2012.01126 (2020) - [i8]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 abs/2012.02029 (2020)
2010 – 2019
- 2019
- [j9]Reza Sadeghi, Tanvi Banerjee, Jennifer Hughes, Larry Lawhorne:
Sleep quality prediction in caregivers using physiological signals. Comput. Biol. Medicine 110: 276-288 (2019) - [j8]William L. Romine, Tanvi Banerjee, Garrett Goodman:
Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures. Sensors 19(6): 1417 (2019) - [c17]Fan Yang, Tanvi Banerjee, Mark J. Panaggio, Daniel M. Abrams, Nirmish Shah:
Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data. BIBM 2019: 569-576 - [c16]Rutuja Mahajan, William L. Romine, Michele Miller, Tanvi Banerjee:
Analyzing Public Outlook towards Vaccination using Twitter. IEEE BigData 2019: 2763-2772 - [c15]Garrett Goodman, Tanvi Banerjee, William L. Romine, Cogan Shimizu, Jennifer Hughes:
Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study. FUZZ-IEEE 2019: 1-6 - [i7]William L. Romine, Tanvi Banerjee, Garrett Goodman:
Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures. CoRR abs/1901.11440 (2019) - 2018
- [j7]Noah L. Schroeder, Fan Yang, Tanvi Banerjee, William L. Romine, Scotty D. Craig:
The influence of learners' perceptions of virtual humans on learning transfer. Comput. Educ. 126: 170-182 (2018) - [i6]Garrett Goodman, Abby Edwards, Cogan Shimizu, Tanvi Banerjee, Jennifer Hughes, William L. Romine, Larry Lawhorne:
Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach. CoRR abs/1802.03051 (2018) - [i5]Reza Sadeghi, Tanvi Banerjee, William L. Romine:
Early Hospital Mortality Prediction using Vital Signals. CoRR abs/1803.06589 (2018) - 2017
- [j6]Tanvi Banerjee, Amit P. Sheth:
IoT Quality Control for Data and Application Needs. IEEE Intell. Syst. 32(2): 68-73 (2017) - [j5]Tanvi Banerjee, Maria Yefimova, James M. Keller, Marjorie Skubic, Diana Lynn Woods, Marilyn Rantz:
Exploratory analysis of older adults' sedentary behavior in the primary living area using kinect depth data. J. Ambient Intell. Smart Environ. 9(2): 163-179 (2017) - [c14]Kalindi Narine, Fan Yang, Tanvi Banerjee, Jude Jonassaint, Rita Masese, Nirmish Shah:
Pilot study using wearable and mobile app data in patients with the sickle cell disease to describe and predict pain. AMIA 2017 - [c13]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: 1191-1198 - [c12]RoopTeja Muppalla, Michele Miller, Tanvi Banerjee, William L. Romine:
Discovering explanatory models to identify relevant tweets on Zika. EMBC 2017: 1194-1197 - [c11]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: 1-6 - [i4]Michele Miller, Tanvi Banerjee, RoopTeja Muppalla, William L. Romine, Amit P. Sheth:
What Are People Tweeting about Zika? An Exploratory Study Concerning Symptoms, Treatment, Transmission, and Prevention. CoRR abs/1701.07490 (2017) - [i3]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 abs/1710.05429 (2017) - 2016
- [j4]Hemant Purohit, Tanvi Banerjee, Andrew J. Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth:
Gender-based violence in 140 characters or fewer: A #BigData case study of Twitter. First Monday 21(1) (2016) - [c10]Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit P. Sheth, Tanvi Banerjee:
Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. AAAI 2016: 3793-3799 - 2015
- [j3]Tanvi Banerjee, James M. Keller, Mihail Popescu, Marjorie Skubic:
Recognizing complex instrumental activities of daily living using scene information and fuzzy logic. Comput. Vis. Image Underst. 140: 68-82 (2015) - [c9]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: 284-291 - [i2]Hemant Purohit, Tanvi Banerjee, Andrew J. Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth:
Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. CoRR abs/1503.02086 (2015) - [i1]Hemant Purohit, Tanvi Banerjee, Andrew J. Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth:
Gender-based violence in 140 characters or fewer: a #BigData case study of Twitter. PeerJ Prepr. 3: e883 (2015) - 2014
- [j2]Tanvi Banerjee, James M. Keller, Marjorie Skubic, Erik E. Stone:
Day or Night Activity Recognition From Video Using Fuzzy Clustering Techniques. IEEE Trans. Fuzzy Syst. 22(3): 483-493 (2014) - [j1]Tanvi Banerjee, Marjorie Skubic, James M. Keller, Carmen Abbott:
Sit-to-Stand Measurement for In-Home Monitoring Using Voxel Analysis. IEEE J. Biomed. Health Informatics 18(4): 1502-1509 (2014) - [c8]Andrew R. Buck, Tanvi Banerjee, James M. Keller:
Evolving a fuzzy goal-driven strategy for the game of Geister: An exercise in teaching computational intelligence. IEEE Congress on Evolutionary Computation 2014: 28-35 - [c7]Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz:
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. EMBC 2014: 4511-4514 - [c6]Tanvi Banerjee, Moein Enayati, James M. Keller, Marjorie Skubic, Mihail Popescu, Marilyn Rantz:
Monitoring patients in hospital beds using unobtrusive depth sensors. EMBC 2014: 5904-5907 - [c5]Tanvi Banerjee, James M. Keller, Marjorie Skubic:
Building a framework for recognition of activities of daily living from depth images using fuzzy logic. FUZZ-IEEE 2014: 540-547 - 2013
- [c4]Yun Li, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic:
Improvement of acoustic fall detection using Kinect depth sensing. EMBC 2013: 6736-6739 - [c3]Tanvi Banerjee, James M. Keller, Marjorie Skubic:
Detecting foreground disambiguation of depth images using fuzzy logic. FUZZ-IEEE 2013: 1-7 - 2012
- [c2]Tanvi Banerjee, James M. Keller, Marjorie Skubic:
Resident identification using kinect depth image data and fuzzy clustering techniques. EMBC 2012: 5102-5105 - 2010
- [c1]Tanvi Banerjee, James M. Keller, Marjorie Skubic, Carmen Abbott:
Sit-to-stand detection using fuzzy clustering techniques. FUZZ-IEEE 2010: 1-8
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 22:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
