Tanmoy Bhattacharya

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 15

Top Topics

Likelihood Ratio

Lexical Semantics

Backpropagation Algorithm

Top Venues

Nat. Mach. Intell.

Publications

Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149 (2024)
Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
An Effective Baseline for Robustness to Distributional Shift. CoRR (2021)
Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
An Effective Baseline for Robustness to Distributional Shift. ICMLA (2021)
Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Kumkum Ganguly, Gopinath Chennupati, Sunil Thulasidasan, Nicolas W. Hengartner, Brent J. Mumphrey, Eric B. Durbin, Jennifer A. Doherty, Mireille Lemieux, Noah Schaefferkoetter, Georgia D. Tourassi, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. CoRR (2020)
Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. CoRR (2020)
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
Combating Label Noise in Deep Learning Using Abstention. CoRR (2019)
Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. CoRR (2019)
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
Combating Label Noise in Deep Learning using Abstention. ICML (2019)
Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. NeurIPS (2019)
Edmon Begoli, Tanmoy Bhattacharya, Dimitri Kusnezov
The need for uncertainty quantification in machine-assisted medical decision making. Nat. Mach. Intell. 1 (1) (2019)
Nicolas W. Hengartner, Leticia Cuellar, Xiao-Cheng Wu, Georgia D. Tourassi, John X. Qiu, James Blair Christian, Tanmoy Bhattacharya
CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules. BMC Bioinform. (18) (2018)
Jessica A. Boten, Donna R. Rivera, Madhumita Myneni, Georgia D. Tourassi, Tanmoy Bhattacharya, Ana Paula de Oliveira Sales, Thomas S. Brettin, Paul A. Fearn, Lynne Penberthy
Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling. AMIA (2017)
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks. J. Netw. Comput. Appl. 66 (2016)
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks. CoRR (2016)
Hyejin Youn, Logan Sutton, Eric Smith, Cristopher Moore, Jon F. Wilkins, Ian Maddieson, William Croft, Tanmoy Bhattacharya
On the universal structure of human lexical semantics. CoRR (2015)
S. Gnanakaran, Marcus G. Daniels, Tanmoy Bhattacharya, Alan S. Lapedes, Anurag Sethi, Ming Li, Haili Tang, Kelli Greene, Hongmei Gao, Barton F. Haynes, Myron S. Cohen, George M. Shaw, Michael S. Seaman, Amit Kumar, Feng Gao, David C. Montefiori, Bette T. Korber
Genetic Signatures in the Envelope Glycoproteins of HIV-1 that Associate with Broadly Neutralizing Antibodies. PLoS Comput. Biol. 6 (10) (2010)
Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya, Alan S. Perelson, Bette T. Korber, Tanmoy Bhattacharya
Estimating time since infection in early homogeneous HIV-1 samples using a poisson model. BMC Bioinform. 11 (2010)
James Thurmond, Hyejin Yoon, Carla Kuiken, Karina Yusim, Simon Perkins, James Theiler, Tanmoy Bhattacharya, Bette T. Korber, Will Fischer
Web-based design and evaluation of T-cell vaccine candidates. Bioinform. 24 (14) (2008)