Intelligent information retrieval using rough set approximations. - Padmini Srinivasan (Inf. Process. Manag., 1989)

A comparison of two-poisson, inverse document frequency and discrimination value models of document representation. - Padmini Srinivasan (Inf. Process. Manag., 1990)

Fuzzy versus probabilistic models for user relevance judgments. - Mathew B. Koll; Padmini Srinivasan (J. Am. Soc. Inf. Sci., 1990)

On generalizing the Two-Poisson Model. - Padmini Srinivasan (J. Am. Soc. Inf. Sci., 1990)

The Importance of Rough Approximations for Information Retrieval. - Padmini Srinivasan (Int. J. Man Mach. Stud., 1991)

Design of a temporal database for phlebitis. - Connie Delaney; D. V. Rama; Padmini Srinivasan (SAC, 1992)

Fundamentals of Parameterized Petri Nets. - Denis Gracanin; Padmini Srinivasan; Kimon P. Valavanis (ICRA (1), 1993)

An Investigation of Content Representation Using Text Grammars. - D. V. Rama; Padmini Srinivasan (ACM Trans. Inf. Syst., 1993)

Parameterized Petri Nets and Their Application to Planning and Coordination in Intelligent Systems. - Denis Gracanin; Padmini Srinivasan; Kimon P. Valavanis (IEEE Trans. Syst. Man Cybern. Syst., 1994)

Query Expansion and MEDLINE. - Padmini Srinivasan (Inf. Process. Manag., 1996)

Optimal Document-Indexing Vocabulary for MEDLINE. - Padmini Srinivasan (Inf. Process. Manag., 1996)

Research Paper: Retrieval Feedback in MEDLINE. - Padmini Srinivasan (J. Am. Medical Informatics Assoc., 1996)

Cross-Language Information Retrieval with the UMLS Metathesaurus. - David Eichmann; Miguel E. Ruiz; Padmini Srinivasan (SIGIR, 1998)

Cluster-Based Adaptive and Batch Filtering. - David Eichmann; Miguel E. Ruiz; Padmini Srinivasan (TREC, 1998)

Integrated digital libraries: changing the essence of research, analysis and knowledge management. - Padmini Srinivasan (J. Knowl. Manag., 1998)

Exploring the UMLS: a rough sets based theoretical framework. - Padmini Srinivasan (AMIA, 1999)

Hierarchical Neural Networks for Text Categorization (poster abstract). - Miguel E. Ruiz; Padmini Srinivasan (SIGIR, 1999)

Filters, Webs and Answers: The University of Iowa TREC-8 Results. - David Eichmann; Padmini Srinivasan (TREC, 1999)

Automatic Text Categorization and Its Application to Text Retrieval. - Wai Lam; Miguel E. Ruiz; Padmini Srinivasan (IEEE Trans. Knowl. Data Eng., 1999)

Filters and Answers: The University of Iowa TREC-9 Results. - Elena Catona; David Eichmann; Padmini Srinivasan (TREC, 2000)

MeSHmap: a text mining tool for MEDLINE. - Padmini Srinivasan (AMIA, 2001)

Evaluating Topic-Driven Web Crawlers. - Filippo Menczer; Gautam Pant; Padmini Srinivasan; Miguel E. Ruiz (SIGIR, 2001)

Vocabulary mining for information retrieval: rough sets and fuzzy sets. - Padmini Srinivasan; Miguel E. Ruiz; Donald H. Kraft; Jianhua Chen 003 (Inf. Process. Manag., 2001)

Exploring text mining from MEDLINE. - Padmini Srinivasan; Thomas C. Rindflesch (AMIA, 2002)

Novel Results and Some Answers - The University of Iowa TREC 11 Results. - David Eichmann; Padmini Srinivasan (TREC, 2002)

Exploration versus Exploitation in Topic Driven Crawlers. - Gautam Pant; Padmini Srinivasan; Filippo Menczer (WebDyn@WWW, 2002)

Adaptive Filtering of Newswire Stories using Two-Level Clustering. - David Eichmann; Padmini Srinivasan (Inf. Retr., 2002)

Hierarchical Text Categorization Using Neural Networks. - Miguel E. Ruiz; Padmini Srinivasan (Inf. Retr., 2002)

Categorization of Sentence Types in Medical Abstracts. - Larry McKnight; Padmini Srinivasan (AMIA, 2003)

Hybrid hierarchical classifiers for categorization of medical documents. - Miguel E. Ruiz; Padmini Srinivasan (ASIST, 2003)

Literature-based discovery: New trends and techniques. Sponsored by SIG HCI. - Neil R. Smalheiser; Carole L. Palmer; Don R. Swanson; Padmini Srinivasan; Marti A. Hearst (ASIST, 2003)

Experiments in Novelty, Genes and Questions at the University of Iowa. - David Eichmann; Padmini Srinivasan; Marc Light; Hudong Wang; Xin Ying Qiu; Robert J. Arens; Aditya Kumar Sehgal (TREC, 2003)

Crawling the Web. - Gautam Pant; Padmini Srinivasan; Filippo Menczer (Web Dynamics, 2004)

Mining MEDLINE for implicit links between dietary substances and diseases. - Padmini Srinivasan; Bisharah Libbus (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Distilling Conceptual Connections from MeSH Co-Occurrences. - Padmini Srinivasan; Dimitar Hristovski (MedInfo, 2004)

Novelty, Question Answering and Genomics: The University of Iowa Response. - David Eichmann; Yi Zhang 006; Shannon Bradshaw; Xin Ying Qiu; Li Zhou; Padmini Srinivasan; Aditya Kumar Sehgal; Hudon Wong (TREC, 2004)

Text mining: Generating hypotheses from MEDLINE. - Padmini Srinivasan (J. Assoc. Inf. Sci. Technol., 2004)

Topical web crawlers: Evaluating adaptive algorithms. - Filippo Menczer; Gautam Pant; Padmini Srinivasan (ACM Trans. Internet Techn., 2004)

Concept Space Comparisons: Explorations with Five Health Domains. - Li Zhou; Padmini Srinivasan (AMIA, 2005)

Ontological research and its applications to the biomedical domain. - Miguel E. Ruiz; Olivier Bodenreider; Eric Little; Padmini Srinivasan (ASIST, 2005)

Manjal: a text mining system for MEDLINE. - Aditya Kumar Sehgal; Padmini Srinivasan (SIGIR, 2005)

Experiments in Questions and Relationships at the University of Iowa. - David Eichmann; Padmini Srinivasan (TREC, 2005)

A General Evaluation Framework for Topical Crawlers. - Padmini Srinivasan; Filippo Menczer; Gautam Pant (Inf. Retr., 2005)

Learning to crawl: Comparing classification schemes. - Gautam Pant; Padmini Srinivasan (ACM Trans. Inf. Syst., 2005)

Exploring the Forecasting Potential of Company Annual Reports. - Xin Ying Qiu; Padmini Srinivasan; W. Nick Street (ASIST, 2006)

Ranking target objects of navigational queries. - Louiqa Raschid; Yao Wu; Woei-Jyh Lee; Maria-Esther Vidal; Panayiotis Tsaparas; Padmini Srinivasan; Aditya Kumar Sehgal (WIDM, 2006)

Retrieval with gene queries. - Aditya Kumar Sehgal; Padmini Srinivasan (BMC Bioinform., 2006)

Link Contexts in Classifier-Guided Topical Crawlers. - Gautam Pant; Padmini Srinivasan (IEEE Trans. Knowl. Data Eng., 2006)

Adaptive Classifiers, Topic Drifts and GO Annotations. - Padmini Srinivasan (AMIA, 2007)

Using Annotations from Controlled Vocabularies to Find Meaningful Associations. - Woei-Jyh Lee; Louiqa Raschid; Padmini Srinivasan; Nigam Shah; Daniel L. Rubin; Natasha Fridman Noy (DILS, 2007)

Profiling Topics on the Web. - Aditya Kumar Sehgal; Padmini Srinivasan (I3, 2007)

Exploring the Legal Discovery and Enterprise Tracks at the University of Iowa. - Brian Almquist; Viet Ha-Thuc; Aditya Kumar Sehgal; Robert J. Arens; Padmini Srinivasan (TREC, 2007)

GO for gene documents. - Padmini Srinivasan; Xin Ying Qiu (BMC Bioinform., 2007)

Topic models and a revisit of text-related applications. - Viet Ha-Thuc; Padmini Srinivasan (PIKM, 2008)

Exploiting Ontology Structure and Patterns of Annotation to Mine Significant Associations between Pairs of Controlled Vocabulary Terms. - Woei-Jyh Lee; Louiqa Raschid; Hassan Sayyadi; Padmini Srinivasan (DILS, 2008)

A quality-threshold data summarization algorithm. - Viet Ha-Thuc; Duc Cuong Nguyen; Padmini Srinivasan (RIVF, 2008)

University of Iowa at TREC 2008 Legal and Relevance FeedbackTracks. - Brian Almquist; Yelena Mejova; Viet Ha-Thuc; Padmini Srinivasan (TREC, 2008)

A Latent Dirichlet Framework for Relevance Modeling. - Viet Ha-Thuc; Padmini Srinivasan (AIRS, 2009)

On the role of classification in patent invalidity searches. - Christopher G. Harris 001; Steven Foster; Robert Arens; Padmini Srinivasan (PaIR@CIKM, 2009)

A relevance-based topic model for news event tracking. - Viet Ha-Thuc; Yelena Mejova; Christopher G. Harris 001; Padmini Srinivasan (SIGIR, 2009)

TREC Blog and TREC Chem: A View from the Corn Fields. - Yelena Mejova; Viet Ha-Thuc; Steven Foster; Christopher G. Harris 001; Robert J. Arens; Padmini Srinivasan (TREC, 2009)

Text Mining of Biological Resources. - Padmini Srinivasan (Encyclopedia of Database Systems, 2009)

Comparison of IPC and USPC classification systems in patent prior art searches. - Christopher G. Harris 001; Robert Arens; Padmini Srinivasan (PaIR@CIKM, 2010)

News Event Modeling and Tracking in the Social Web with Ontological Guidance. - Viet Ha-Thuc; Yelena Mejova; Christopher G. Harris 001; Padmini Srinivasan (ICSC, 2010)

Detecting Wikipedia vandalism with active learning and statistical language models. - Si-Chi Chin; W. Nick Street; Padmini Srinivasan; David Eichmann (WICOW, 2010)

On the predictive ability of narrative disclosures in annual reports. - Ramji Balakrishnan; Xin Ying Qiu; Padmini Srinivasan (Eur. J. Oper. Res., 2010)

Predicting Web Page Status. - Gautam Pant; Padmini Srinivasan (Inf. Syst. Res., 2010)

Using Classification Code Hierarchies for Patent Prior Art Searches. - Christopher G. Harris 001; Robert Arens; Padmini Srinivasan (Current Challenges in Patent Information Retrieval, 2011)

Data-Driven Methods for SMS-Based FAQ Retrieval. - Sanmitra Bhattacharya; Hung Tran; Padmini Srinivasan (FIRE, 2011)

Bayesian Embedding of Co-occurrence Data for Query-Based Visualization. - Mohammad Khoshneshin; W. Nick Street; Padmini Srinivasan (ICMLA (1), 2011)

Exploring Feature Definition and Selection for Sentiment Classifiers. - Yelena Mejova; Padmini Srinivasan (ICWSM, 2011)

The University of Iowa at TREC 2011: Microblogs, Medical Records and Crowdsourcing. - Sanmitra Bhattacharya; Christopher G. Harris 001; Yelena Mejova; Chao Yang; Padmini Srinivasan (TREC, 2011)

GeAnn at the TREC 2011 Crowdsourcing Track. - Carsten Eickhoff; Christopher G. Harris 001; Padmini Srinivasan; Arjen P. de Vries (TREC, 2011)

Spam detection in online classified advertisements. - Hung Tran; Thomas Hornbeck; Viet Ha-Thuc; James Cremer; Padmini Srinivasan (WebQuality@WWW, 2011)

MeSH: a window into full text for document summarization. - Sanmitra Bhattacharya; Viet Ha-Thuc; Padmini Srinivasan (Bioinform., 2011)

BioCreative III interactive task: an overview. - Cecilia N. Arighi; Phoebe M. Roberts; Shashank Agarwal; Sanmitra Bhattacharya; Gianni Cesareni; Andrew Chatr-aryamontri; Simon Clematide; Pascale Gaudet; Michelle G. Giglio; Ian Harrow; Eva Huala; Martin Krallinger; et al. (BMC Bioinform., 2011)

The gene normalization task in BioCreative III. - Zhiyong Lu; Hung-Yu Kao; Chih-Hsuan Wei; Minlie Huang; Jingchen Liu; Cheng-Ju Kuo; Chun-Nan Hsu; Richard Tzong-Han Tsai; Hong-Jie Dai; Naoaki Okazaki; Han-Cheol Cho; Martin Gerner; et al. (BMC Bioinform., 2011)

Discovering Health Beliefs in Twitter. - Sanmitra Bhattacharya; Hung Tran; Padmini Srinivasan (AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text, 2012)

Automatic Adverse Drug Events Detection Using Letters to the Editor. - Chao Yang; Padmini Srinivasan; Philip Polgreen (AMIA, 2012)

Applying human computation mechanisms to information retrieval. - Christopher G. Harris 001; Padmini Srinivasan (ASIST, 2012)

A semantic approach to involve Twitter in LBD efforts. - Sanmitra Bhattacharya; Padmini Srinivasan (BIBM Workshops, 2012)

Lexical and Machine Learning Approaches Toward Online Reputation Management. - Chao Yang; Sanmitra Bhattacharya; Padmini Srinivasan (CLEF (Online Working Notes/Labs/Workshop), 2012)

Crossing Media Streams with Sentiment: Domain Adaptation in Blogs, Reviews and Twitter. - Yelena Mejova; Padmini Srinivasan (ICWSM, 2012)

Quality through flow and immersion: gamifying crowdsourced relevance assessments. - Carsten Eickhoff; Christopher G. Harris 001; Arjen P. de Vries; Padmini Srinivasan (SIGIR, 2012)

With a Little Help from the Crowd: Receiving Unauthorized Academic Assistance through Online Labor Markets. - Christopher G. Harris 001; Padmini Srinivasan (SocialCom/PASSAT, 2012)

Using Hybrid Methods for Relevance Assessment in TREC Crowd '12. - Christopher G. Harris 001; Padmini Srinivasan (TREC, 2012)

Belief surveillance with Twitter. - Sanmitra Bhattacharya; Hung Tran; Padmini Srinivasan; Jerry Suls (WebSci, 2012)

Political speech in social media streams: YouTube comments and Twitter posts. - Yelena Mejova; Padmini Srinivasan (WebSci, 2012)

Comparing Crowd-Based, Game-Based, and Machine-Based Approaches in Initial Query and Query Refinement Tasks. - Christopher G. Harris 001; Padmini Srinivasan (ECIR, 2013)

GOP primary season on twitter: "popular" political sentiment in social media. - Yelena Mejova; Padmini Srinivasan; Bob Boynton (WSDM, 2013)

Stock chatter: Using stock sentiment to predict price direction. - Michael Rechenthin; W. Nick Street; Padmini Srinivasan (Algorithmic Finance, 2013)

Status Locality on the Web: Implications for Building Focused Collections. - Gautam Pant; Padmini Srinivasan (Inf. Syst. Res., 2013)

Human Computation for Information Retrieval. - Christopher G. Harris 001; Padmini Srinivasan (Handbook of Human Computation, 2013)

Hybrid Crowd-Machine Methods as Alternatives to Pooling and Expert Judgments. - Christopher G. Harris 001; Padmini Srinivasan (AIRS, 2014)

The University of Iowa at CLEF 2014: eHealth Task 3. - Chao Yang; Sanmitra Bhattacharya; Padmini Srinivasan (CLEF (Working Notes), 2014)

Translating surveys to surveillance on social media: methodological challenges & solutions. - Chao Yang; Padmini Srinivasan (WebSci, 2014)

Supervised learning models to predict firm performance with annual reports: An empirical study. - Xin Ying Qiu; Padmini Srinivasan; Yong Hu (J. Assoc. Inf. Sci. Technol., 2014)

Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene. - Nick Becker; Caren Chang; Louiqa Raschid; Padmini Srinivasan; Bram Van de Poel; Xiao-Ning Zhang; Elena Zotkina (DILS, 2015)

Using Personal Traits For Brand Preference Prediction. - Chao Yang; Shimei Pan; Jalal Mahmud; Huahai Yang; Padmini Srinivasan (EMNLP, 2015)

Ferret: a sentence-based literature scanning system. - Padmini Srinivasan; Xiao-Ning Zhang; Roxane Bouten; Caren Chang (BMC Bioinform., 2015)

Online Asymmetric Active Learning with Imbalanced Data. - Xiaoxuan Zhang; Tianbao Yang; Padmini Srinivasan (KDD, 2016)

Perceptions of presidential candidates' personalities in twitter. - Sanmitra Bhattacharya; Chao Yang; Padmini Srinivasan; Bob Boynton (J. Assoc. Inf. Sci. Technol., 2016)

Revisiting The American Voter on Twitter. - Huyen T. Le; G. R. Boynton; Yelena Mejova; Zubair Shafiq; Padmini Srinivasan (CHI, 2017)

Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter. - Huyen T. Le; G. R. Boynton; Yelena Mejova; Zubair Shafiq; Padmini Srinivasan (HT, 2017)

Accurate Detection of Automatically Spun Content via Stylometric Analysis. - Usman Shahid; Shehroze Farooqi; Raza Ahmad; Zubair Shafiq; Padmini Srinivasan; Fareed Zaffar (ICDM, 2017)

Disease Comorbidity Linkages between MEDLINE and Patient Data. - Tejaswi Rohit Anupindi; Padmini Srinivasan (ICHI, 2017)

Scalable News Slant Measurement Using Twitter. - Huyen T. Le; Zubair Shafiq; Padmini Srinivasan (ICWSM, 2017)

Social media engagement analysis of U.S. Federal health agencies on Facebook. - Sanmitra Bhattacharya; Padmini Srinivasan; Philip Polgreen (BMC Medical Informatics Decis. Mak., 2017)

Text Mining of Biological Resources. - Padmini Srinivasan (Encyclopedia of Database Systems (2nd ed.), 2018)

A postmortem of suspended Twitter accounts in the 2016 U.S. presidential election. - Huyen T. Le; G. R. Boynton; Zubair Shafiq; Padmini Srinivasan (ASONAM, 2019)

Twitter Bots and Gender Detection using Tf-idf. - Asad Mahmood; Padmini Srinivasan (CLEF (Working Notes), 2019)

Identifying De Facto Prescription Norms in a Hospital Setting: A study with antibiotics. - Syeda Momina Tabish; Philip Polgreen; Alberto Maria Segre; Padmini Srinivasan (ICHI, 2019)

Identifying De Facto Prescription Norms from Clinical Data. - Syeda Momina Tabish; Padmini Srinivasan (ICHI, 2019)

NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs. - Jonathan Rusert; Padmini Srinivasan (SemEval@NAACL-HLT, 2019)

My Word! Machine versus Human Computation Methods for Identifying and Resolving Acronyms. - Christopher G. Harris 001; Padmini Srinivasan (Computación y Sistemas, 2019)

A Girl Has No Name: Automated Authorship Obfuscation using Mutant-X. - Asad Mahmood; Faizan Ahmad; Zubair Shafiq; Padmini Srinivasan; Fareed Zaffar (Proc. Priv. Enhancing Technol., 2019)

No Place to Hide: Inadvertent Location Privacy Leaks on Twitter. - Jonathan Rusert; Osama Khalid; Dat Hong; Zubair Shafiq; Padmini Srinivasan (Proc. Priv. Enhancing Technol., 2019)

A Girl Has A Name: Detecting Authorship Obfuscation. - Asad Mahmood; Zubair Shafiq; Padmini Srinivasan (ACL, 2020)

Style Matters! Investigating Linguistic Style in Online Communities. - Osama Khalid; Padmini Srinivasan (ICWSM, 2020)

Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations. - Ingroj Shrestha; Padmini Srinivasan (AMIA, 2021)

Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models. - Shaoor Munir; Brishna Batool; Zubair Shafiq; Padmini Srinivasan; Fareed Zaffar (EACL, 2021)

Avengers Ensemble! Improving Transferability of Authorship Obfuscation. - Muhammad Haroon; Muhammad Fareed Zaffar; Padmini Srinivasan; Zubair Shafiq (CoRR, 2021)

Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective. - Osama Khalid; Jonathan Rusert; Padmini Srinivasan (ACL (Findings), 2022)

On the Robustness of Offensive Language Classifiers. - Jonathan Rusert; Zubair Shafiq; Padmini Srinivasan (ACL (1), 2022)

Adversarial Authorship Attribution for Deobfuscation. - Wanyue Zhai; Jonathan Rusert; Zubair Shafiq; Padmini Srinivasan (ACL (1), 2022)

Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres. - Osama Khalid; Padmini Srinivasan (COLING, 2022)

Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. - Jonathan Rusert; Padmini Srinivasan (NAACL-HLT, 2022)

A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation. - Wanyue Zhai; Jonathan Rusert; Zubair Shafiq; Padmini Srinivasan (CoRR, 2022)

Making a Radical Misogynist: How Online Social Engagement with the Manosphere Influences Traits of Radicalization. - Hussam Habib; Padmini Srinivasan; Rishab Nithyanand (Proc. ACM Hum. Comput. Interact., 2022)

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 (EMNLP, 2024)

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 E. Diamantis; Rishab Nithyanand (CoRR, 2024)

Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings. - Ingroj Shrestha; Padmini Srinivasan (COLING, 2025)

Robust Bias Detection in MLMs and its Application to Human Trait Ratings. - Ingroj Shrestha; Louis Tay; Padmini Srinivasan (NAACL (Findings), 2025)

SLIM-LLMs: Modeling of Style-Sensory Language RelationshipsThrough Low-Dimensional Representations. - Osama Khalid; Sanvesh Srivastava; Padmini Srinivasan (CoRR, 2025)

LLM Bias Detection and Mitigation through the Lens of Desired Distributions. - Ingroj Shrestha; Padmini Srinivasan (CoRR, 2025)