| 2025 | COLING | Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings. | Ingroj Shrestha, Padmini Srinivasan |
| 2025 | EMNLP | LLM Bias Detection and Mitigation through the Lens of Desired Distributions. | Ingroj Shrestha, Padmini Srinivasan |
| 2025 | NAACL | Robust Bias Detection in MLMs and its Application to Human Trait Ratings. | Ingroj Shrestha, Louis Tay, Padmini Srinivasan |
| 2024 | EMNLP | C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits. | Maaz Bin Musa, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin, Padmini Srinivasan, Mihailis Diamantis, Rishab Nithyanand |
| 2022 | ACL | Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective. | Osama Khalid, Jonathan Rusert, Padmini Srinivasan |
| 2022 | ACL | On the Robustness of Offensive Language Classifiers. | Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan |
| 2022 | ACL | Adversarial Authorship Attribution for Deobfuscation. | Wanyue Zhai, Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan |
| 2022 | COLING | Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres. | Osama Khalid, Padmini Srinivasan |
| 2022 | NAACL | Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. | Jonathan Rusert, Padmini Srinivasan |
| 2021 | AMIA | Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations. | Ingroj Shrestha, Padmini Srinivasan |
| 2021 | EACL | Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models. | Shaoor Munir, Brishna Batool, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar |
| 2020 | ACL | A Girl Has A Name: Detecting Authorship Obfuscation. | Asad Mahmood, Zubair Shafiq, Padmini Srinivasan |
| 2020 | ICWSM | Style Matters! Investigating Linguistic Style in Online Communities. | Osama Khalid, Padmini Srinivasan |
| 2017 | CHI | Revisiting The American Voter on Twitter. | Huyen T. Le, G. R. Boynton, Yelena Mejova, Zubair Shafiq, Padmini Srinivasan |
| 2017 | ICDM | Accurate Detection of Automatically Spun Content via Stylometric Analysis. | Usman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar |
| 2017 | ICWSM | Scalable News Slant Measurement Using Twitter. | Huyen T. Le, Zubair Shafiq, Padmini Srinivasan |
| 2016 | KDD | Online Asymmetric Active Learning with Imbalanced Data. | Xiaoxuan Zhang, Tianbao Yang, Padmini Srinivasan |
| 2015 | EMNLP | Using Personal Traits For Brand Preference Prediction. | Chao Yang, Shimei Pan, Jalal Mahmud, Huahai Yang, Padmini Srinivasan |
| 2013 | ECIR | Comparing Crowd-Based, Game-Based, and Machine-Based Approaches in Initial Query and Query Refinement Tasks. | Christopher G. Harris, Padmini Srinivasan |
| 2013 | WSDM | GOP primary season on twitter: "popular" political sentiment in social media. | Yelena Mejova, Padmini Srinivasan, Bob Boynton |
| 2012 | AMIA | Automatic Adverse Drug Events Detection Using Letters to the Editor. | Chao Yang, Padmini Srinivasan, Philip Polgreen |
| 2012 | ICWSM | Crossing Media Streams with Sentiment: Domain Adaptation in Blogs, Reviews and Twitter. | Yelena Mejova, Padmini Srinivasan |
| 2012 | SIGIR | Quality through flow and immersion: gamifying crowdsourced relevance assessments. | Carsten Eickhoff, Christopher G. Harris, Arjen P. de Vries, Padmini Srinivasan |
| 2011 | ICMLA | Bayesian Embedding of Co-occurrence Data for Query-Based Visualization. | Mohammad Khoshneshin, W. Nick Street, Padmini Srinivasan |
| 2011 | ICWSM | Exploring Feature Definition and Selection for Sentiment Classifiers. | Yelena Mejova, Padmini Srinivasan |
| 2011 | WWW | Spam detection in online classified advertisements. | Hung Tran, Thomas Hornbeck, Viet Ha-Thuc, James Cremer, Padmini Srinivasan |
| 2010 | CIKM | Comparison of IPC and USPC classification systems in patent prior art searches. | Christopher G. Harris, Robert Arens, Padmini Srinivasan |
| 2010 | WWW | Detecting Wikipedia vandalism with active learning and statistical language models. | Si-Chi Chin, W. Nick Street, Padmini Srinivasan, David Eichmann |
| 2009 | CIKM | On the role of classification in patent invalidity searches. | Christopher G. Harris, Steven Foster, Robert Arens, Padmini Srinivasan |
| 2009 | SIGIR | A relevance-based topic model for news event tracking. | Viet Ha-Thuc, Yelena Mejova, Christopher G. Harris, Padmini Srinivasan |
| 2008 | CIKM | Topic models and a revisit of text-related applications. | Viet Ha-Thuc, Padmini Srinivasan |
| 2007 | AMIA | Adaptive Classifiers, Topic Drifts and GO Annotations. | Padmini Srinivasan |
| 2005 | AMIA | Concept Space Comparisons: Explorations with Five Health Domains. | Li Zhou, Padmini Srinivasan |
| 2005 | SIGIR | Manjal: a text mining system for MEDLINE. | Aditya Kumar Sehgal, Padmini Srinivasan |
| 2004 | ISMB | Mining MEDLINE for implicit links between dietary substances and diseases. | Padmini Srinivasan, Bisharah Libbus |
| 2003 | AMIA | Categorization of Sentence Types in Medical Abstracts. | Larry McKnight, Padmini Srinivasan |
| 2002 | AMIA | Exploring text mining from MEDLINE. | Padmini Srinivasan, Thomas C. Rindflesch |
| 2002 | WWW | Exploration versus Exploitation in Topic Driven Crawlers. | Gautam Pant, Padmini Srinivasan, Filippo Menczer |
| 2001 | AMIA | MeSHmap: a text mining tool for MEDLINE. | Padmini Srinivasan |
| 2001 | SIGIR | Evaluating Topic-Driven Web Crawlers. | Filippo Menczer, Gautam Pant, Padmini Srinivasan, Miguel E. Ruiz |
| 1999 | AMIA | Exploring the UMLS: a rough sets based theoretical framework. | Padmini Srinivasan |
| 1999 | SIGIR | Hierarchical Neural Networks for Text Categorization (poster abstract). | Miguel E. Ruiz, Padmini Srinivasan |
| 1998 | SIGIR | Cross-Language Information Retrieval with the UMLS Metathesaurus. | David Eichmann, Miguel E. Ruiz, Padmini Srinivasan |
| 1993 | ICRA | Fundamentals of Parameterized Petri Nets. | Denis Gracanin, Padmini Srinivasan, Kimon P. Valavanis |
| 1992 | SAC | Design of a temporal database for phlebitis. | Connie Delaney, D. V. Rama, Padmini Srinivasan |