Tanmoy Bhattacharya

19 papers A* 2C 1Misc 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Global explainability of a deep abstaining classifier. CoRR Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Benjamin H. McMahon, Trilce Estrada, Kumkum Ganguly, Adam Spannaus, John P. Gounley, Xiao-Cheng Wu, Eric B. Durbin, Heidi A. Hanson, Tanmoy Bhattacharya
2024	J	`jnl`	Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 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
2021	C	`conf`	An Effective Baseline for Robustness to Distributional Shift. ICMLA Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
2021	J	`jnl`	An Effective Baseline for Robustness to Distributional Shift. CoRR Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
2020	J	`jnl`	Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. CoRR Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya
2020	J	`jnl`	Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. CoRR 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
2019	J	`jnl`	Combating Label Noise in Deep Learning Using Abstention. CoRR Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
2019	A*	`conf`	Combating Label Noise in Deep Learning using Abstention. ICML Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
2019	A*	`conf`	On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. NeurIPS Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
2019	J	`jnl`	On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. CoRR Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
2019	J	`jnl`	The need for uncertainty quantification in machine-assisted medical decision making. Nat. Mach. Intell. Edmon Begoli, Tanmoy Bhattacharya, Dimitri Kusnezov
2018	J	`jnl`	CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules. BMC Bioinform. Nicolas W. Hengartner, Leticia Cuellar, Xiao-Cheng Wu, Georgia D. Tourassi, John X. Qiu, James Blair Christian, Tanmoy Bhattacharya
2017	Misc	`conf`	Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling. AMIA 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
2016	J	`jnl`	A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks. CoRR Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
2016	J	`jnl`	A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks. J. Netw. Comput. Appl. Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
2015	J	`jnl`	On the universal structure of human lexical semantics. CoRR Hyejin Youn, Logan Sutton, Eric Smith, Cristopher Moore, Jon F. Wilkins, Ian Maddieson, William Croft, Tanmoy Bhattacharya
2010	J	`jnl`	Estimating time since infection in early homogeneous HIV-1 samples using a poisson model. BMC Bioinform. Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya, Alan S. Perelson, Bette T. Korber, Tanmoy Bhattacharya
2010	J	`jnl`	Genetic Signatures in the Envelope Glycoproteins of HIV-1 that Associate with Broadly Neutralizing Antibodies. PLoS Comput. Biol. 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
2008	J	`jnl`	Web-based design and evaluation of T-cell vaccine candidates. Bioinform. James Thurmond, Hyejin Yoon, Carla Kuiken, Karina Yusim, Simon Perkins, James Theiler, Tanmoy Bhattacharya, Bette T. Korber, Will Fischer

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.