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Padmini Srinivasan
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2020 – today
- 2022
- [j37]Hussam Habib, Padmini Srinivasan, Rishab Nithyanand:
Making a Radical Misogynist: How Online Social Engagement with the Manosphere Influences Traits of Radicalization. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-28 (2022) - [c85]Osama Khalid, Jonathan Rusert, Padmini Srinivasan:
Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective. ACL (Findings) 2022: 2883-2896 - [c84]Wanyue Zhai, Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan:
Adversarial Authorship Attribution for Deobfuscation. ACL (1) 2022: 7372-7384 - [c83]Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan:
On the Robustness of Offensive Language Classifiers. ACL (1) 2022: 7424-7438 - [c82]Osama Khalid, Padmini Srinivasan:
Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres. COLING 2022: 55-64 - [c81]Jonathan Rusert, Padmini Srinivasan:
Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. NAACL-HLT 2022: 2716-2725 - [i9]Hussam Habib, Padmini Srinivasan, Rishab Nithyanand:
Making a Radical Misogynist: How online social engagement with the Manosphere influences traits of radicalization. CoRR abs/2202.08805 (2022) - [i8]Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan:
On The Robustness of Offensive Language Classifiers. CoRR abs/2203.11331 (2022) - [i7]Osama Khalid, Jonathan Rusert, Padmini Srinivasan:
Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective. CoRR abs/2203.11401 (2022) - [i6]Wanyue Zhai, Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan:
A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation. CoRR abs/2203.11849 (2022) - [i5]Jonathan Rusert, Padmini Srinivasan:
Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. CoRR abs/2205.01714 (2022) - [i4]Osama Khalid, Padmini Srinivasan:
Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres. CoRR abs/2209.12352 (2022) - [i3]Osama Khalid, Padmini Srinivasan:
Style Matters! Investigating Linguistic Style in Online Communities. CoRR abs/2209.13114 (2022) - 2021
- [c80]Ingroj Shrestha, Padmini Srinivasan:
Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations. AMIA 2021 - [c79]Shaoor Munir, Brishna Batool, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar:
Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models. EACL 2021: 1811-1822 - [i2]Muhammad Haroon, Muhammad Fareed Zaffar, Padmini Srinivasan, Zubair Shafiq:
Avengers Ensemble! Improving Transferability of Authorship Obfuscation. CoRR abs/2109.07028 (2021) - 2020
- [c78]Asad Mahmood, Zubair Shafiq, Padmini Srinivasan:
A Girl Has A Name: Detecting Authorship Obfuscation. ACL 2020: 2235-2245 - [c77]Osama Khalid, Padmini Srinivasan:
Style Matters! Investigating Linguistic Style in Online Communities. ICWSM 2020: 360-369 - [i1]Asad Mahmood, Zubair Shafiq, Padmini Srinivasan:
A Girl Has A Name: Detecting Authorship Obfuscation. CoRR abs/2005.00702 (2020)
2010 – 2019
- 2019
- [j36]Christopher G. Harris
, Padmini Srinivasan
My Word! Machine versus Human Computation Methods for Identifying and Resolving Acronyms. Computación y Sistemas 23(3) (2019) - [j35]Asad Mahmood, Faizan Ahmad, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar:
A Girl Has No Name: Automated Authorship Obfuscation using Mutant-X. Proc. Priv. Enhancing Technol. 2019(4): 54-71 (2019) - [j34]Jonathan Rusert, Osama Khalid, Dat Hong, Zubair Shafiq, Padmini Srinivasan:
No Place to Hide: Inadvertent Location Privacy Leaks on Twitter. Proc. Priv. Enhancing Technol. 2019(4): 172-189 (2019) - [c76]Huyen T. Le, G. R. Boynton, Zubair Shafiq, Padmini Srinivasan
A postmortem of suspended Twitter accounts in the 2016 U.S. presidential election. ASONAM 2019: 258-265 - [c75]Asad Mahmood, Padmini Srinivasan:
Twitter Bots and Gender Detection using Tf-idf. CLEF (Working Notes) 2019 - [c74]Syeda Momina Tabish, Philip Polgreen
Identifying De Facto Prescription Norms in a Hospital Setting: A study with antibiotics. ICHI 2019: 1-11 - [c73]Syeda Momina Tabish, Padmini Srinivasan:
Identifying De Facto Prescription Norms from Clinical Data. ICHI 2019: 1 - [c72]Jonathan Rusert, Padmini Srinivasan:
NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs. SemEval@NAACL-HLT 2019: 704-711 - 2018
- [r3]Padmini Srinivasan:
Text Mining of Biological Resources. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j33]Sanmitra Bhattacharya
Social media engagement analysis of U.S. Federal health agencies on Facebook. BMC Medical Informatics Decis. Mak. 17(1): 49:1-49:12 (2017) - [c71]Huyen T. Le, G. R. Boynton, Yelena Mejova
Revisiting The American Voter on Twitter. CHI 2017: 4507-4519 - [c70]Huyen T. Le, G. R. Boynton, Yelena Mejova
Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter. HT 2017: 215-224 - [c69]Usman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan
Accurate Detection of Automatically Spun Content via Stylometric Analysis. ICDM 2017: 425-434 - [c68]Tejaswi Rohit Anupindi, Padmini Srinivasan
Disease Comorbidity Linkages between MEDLINE and Patient Data. ICHI 2017: 403-408 - [c67]Huyen T. Le, Zubair Shafiq, Padmini Srinivasan:
Scalable News Slant Measurement Using Twitter. ICWSM 2017: 584-587 - 2016
- [j32]Sanmitra Bhattacharya, Chao Yang, Padmini Srinivasan
Perceptions of presidential candidates' personalities in twitter. J. Assoc. Inf. Sci. Technol. 67(2): 249-267 (2016) - [c66]Xiaoxuan Zhang, Tianbao Yang, Padmini Srinivasan
Online Asymmetric Active Learning with Imbalanced Data. KDD 2016: 2055-2064 - 2015
- [j31]Padmini Srinivasan
Ferret: a sentence-based literature scanning system. BMC Bioinform. 16: 198:1-198:11 (2015) - [c65]Nick Becker, Caren Chang, Louiqa Raschid, Padmini Srinivasan
Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene. DILS 2015: 251-255 - [c64]Chao Yang, Shimei Pan, Jalal Mahmud, Huahai Yang, Padmini Srinivasan
Using Personal Traits For Brand Preference Prediction. EMNLP 2015: 86-96 - 2014
- [j30]Xin Ying Qiu, Padmini Srinivasan
Supervised learning models to predict firm performance with annual reports: An empirical study. J. Assoc. Inf. Sci. Technol. 65(2): 400-413 (2014) - [c63]Christopher G. Harris
Hybrid Crowd-Machine Methods as Alternatives to Pooling and Expert Judgments. AIRS 2014: 60-72 - [c62]Chao Yang, Sanmitra Bhattacharya, Padmini Srinivasan:
The University of Iowa at CLEF 2014: eHealth Task 3. CLEF (Working Notes) 2014: 283-295 - [c61]Chao Yang, Padmini Srinivasan
Translating surveys to surveillance on social media: methodological challenges & solutions. WebSci 2014: 4-12 - 2013
- [j29]Michael Rechenthin, W. Nick Street, Padmini Srinivasan
Stock chatter: Using stock sentiment to predict price direction. Algorithmic Finance 2(3-4): 169-196 (2013) - [j28]Gautam Pant, Padmini Srinivasan
Status Locality on the Web: Implications for Building Focused Collections. Inf. Syst. Res. 24(3): 802-821 (2013) - [c60]Christopher G. Harris
Comparing Crowd-Based, Game-Based, and Machine-Based Approaches in Initial Query and Query Refinement Tasks. ECIR 2013: 495-506 - [c59]Yelena Mejova
GOP primary season on twitter: "popular" political sentiment in social media. WSDM 2013: 517-526 - [r2]Christopher G. Harris
Human Computation for Information Retrieval. Handbook of Human Computation 2013: 205-214 - 2012
- [c58]Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan:
Discovering Health Beliefs in Twitter. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c57]Chao Yang, Padmini Srinivasan, Philip Polgreen:
Automatic Adverse Drug Events Detection Using Letters to the Editor. AMIA 2012 - [c56]Christopher G. Harris
Applying human computation mechanisms to information retrieval. ASIST 2012: 1-10 - [c55]Sanmitra Bhattacharya, Padmini Srinivasan
A semantic approach to involve Twitter in LBD efforts. BIBM Workshops 2012: 248-253 - [c54]Chao Yang, Sanmitra Bhattacharya, Padmini Srinivasan:
Lexical and Machine Learning Approaches Toward Online Reputation Management. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c53]Yelena Mejova, Padmini Srinivasan:
Crossing Media Streams with Sentiment: Domain Adaptation in Blogs, Reviews and Twitter. ICWSM 2012 - [c52]Carsten Eickhoff, Christopher G. Harris
Quality through flow and immersion: gamifying crowdsourced relevance assessments. SIGIR 2012: 871-880 - [c51]Christopher G. Harris
With a Little Help from the Crowd: Receiving Unauthorized Academic Assistance through Online Labor Markets. SocialCom/PASSAT 2012: 904-909 - [c50]Christopher G. Harris, Padmini Srinivasan:
Using Hybrid Methods for Relevance Assessment in TREC Crowd '12. TREC 2012 - [c49]Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan
Belief surveillance with Twitter. WebSci 2012: 43-46 - [c48]Yelena Mejova
Political speech in social media streams: YouTube comments and Twitter posts. WebSci 2012: 205-208 - 2011
- [j27]Sanmitra Bhattacharya, Viet Ha-Thuc, Padmini Srinivasan
MeSH: a window into full text for document summarization. Bioinform. 27(13): 120-128 (2011) - [j26]Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei
The gene normalization task in BioCreative III. BMC Bioinform. 12(S-8): S2 (2011) - [j25]Cecilia N. Arighi
BioCreative III interactive task: an overview. BMC Bioinform. 12(S-8): S4 (2011) - [c47]Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan
Data-Driven Methods for SMS-Based FAQ Retrieval. FIRE 2011: 104-118 - [c46]Mohammad Khoshneshin, W. Nick Street, Padmini Srinivasan
Bayesian Embedding of Co-occurrence Data for Query-Based Visualization. ICMLA (1) 2011: 74-79 - [c45]Yelena Mejova, Padmini Srinivasan:
Exploring Feature Definition and Selection for Sentiment Classifiers. ICWSM 2011 - [c44]Sanmitra Bhattacharya, Christopher G. Harris, Yelena Mejova, Chao Yang, Padmini Srinivasan:
The University of Iowa at TREC 2011: Microblogs, Medical Records and Crowdsourcing. TREC 2011 - [c43]Carsten Eickhoff, Christopher G. Harris, Padmini Srinivasan, Arjen P. de Vries:
GeAnn at the TREC 2011 Crowdsourcing Track. TREC 2011 - [c42]Hung Tran, Thomas Hornbeck, Viet Ha-Thuc, James Cremer, Padmini Srinivasan
Spam detection in online classified advertisements. WebQuality@WWW 2011: 35-41 - [p2]Christopher G. Harris, Robert Arens, Padmini Srinivasan:
Using Classification Code Hierarchies for Patent Prior Art Searches. Current Challenges in Patent Information Retrieval 2011: 287-304 - 2010
- [j24]Ramji Balakrishnan
On the predictive ability of narrative disclosures in annual reports. Eur. J. Oper. Res. 202(3): 789-801 (2010) - [j23]Gautam Pant, Padmini Srinivasan
Predicting Web Page Status. Inf. Syst. Res. 21(2): 345-364 (2010) - [c41]Christopher G. Harris
Comparison of IPC and USPC classification systems in patent prior art searches. PaIR@CIKM 2010: 27-32 - [c40]Viet Ha-Thuc, Yelena Mejova
News Event Modeling and Tracking in the Social Web with Ontological Guidance. ICSC 2010: 414-419 - [c39]Si-Chi Chin, W. Nick Street, Padmini Srinivasan
Detecting Wikipedia vandalism with active learning and statistical language models. WICOW 2010: 3-10
2000 – 2009
- 2009
- [c38]Viet Ha-Thuc, Padmini Srinivasan
A Latent Dirichlet Framework for Relevance Modeling. AIRS 2009: 13-25 - [c37]Christopher G. Harris
On the role of classification in patent invalidity searches. PaIR@CIKM 2009: 29-32 - [c36]Viet Ha-Thuc, Yelena Mejova
A relevance-based topic model for news event tracking. SIGIR 2009: 764-765 - [c35]Yelena Mejova, Viet Ha-Thuc, Steven Foster, Christopher G. Harris, Robert J. Arens, Padmini Srinivasan:
TREC Blog and TREC Chem: A View from the Corn Fields. TREC 2009 - [r1]Padmini Srinivasan:
Text Mining of Biological Resources. Encyclopedia of Database Systems 2009: 3065-3068 - 2008
- [c34]Viet Ha-Thuc, Padmini Srinivasan
Topic models and a revisit of text-related applications. PIKM 2008: 25-32 - [c33]Woei-Jyh Lee, Louiqa Raschid, Hassan Sayyadi, Padmini Srinivasan
Exploiting Ontology Structure and Patterns of Annotation to Mine Significant Associations between Pairs of Controlled Vocabulary Terms. DILS 2008: 44-60 - [c32]Viet Ha-Thuc, Duc Cuong Nguyen, Padmini Srinivasan
A quality-threshold data summarization algorithm. RIVF 2008: 240-246 - [c31]Brian Almquist, Yelena Mejova, Viet Ha-Thuc, Padmini Srinivasan:
University of Iowa at TREC 2008 Legal and Relevance FeedbackTracks. TREC 2008 - 2007
- [j22]Padmini Srinivasan
GO for gene documents. BMC Bioinform. 8(S-9) (2007) - [c30]Padmini Srinivasan:
Adaptive Classifiers, Topic Drifts and GO Annotations. AMIA 2007 - [c29]Woei-Jyh Lee, Louiqa Raschid, Padmini Srinivasan
Using Annotations from Controlled Vocabularies to Find Meaningful Associations. DILS 2007: 247-263 - [c28]Aditya Kumar Sehgal, Padmini Srinivasan:
Profiling Topics on the Web. I3 2007 - [c27]Brian Almquist, Viet Ha-Thuc, Aditya Kumar Sehgal, Robert J. Arens, Padmini Srinivasan:
Exploring the Legal Discovery and Enterprise Tracks at the University of Iowa. TREC 2007 - 2006
- [j21]Aditya Kumar Sehgal, Padmini Srinivasan
Retrieval with gene queries. BMC Bioinform. 7: 220 (2006) - [j20]Gautam Pant, Padmini Srinivasan
Link Contexts in Classifier-Guided Topical Crawlers. IEEE Trans. Knowl. Data Eng. 18(1): 107-122 (2006) - [c26]Xin Ying Qiu, Padmini Srinivasan, W. Nick Street:
Exploring the Forecasting Potential of Company Annual Reports. ASIST 2006: 1-15 - [c25]Louiqa Raschid, Yao Wu, Woei-Jyh Lee, Maria-Esther Vidal
Ranking target objects of navigational queries. WIDM 2006: 27-34 - 2005
- [j19]Padmini Srinivasan
A General Evaluation Framework for Topical Crawlers. Inf. Retr. 8(3): 417-447 (2005) - [j18]Gautam Pant, Padmini Srinivasan
Learning to crawl: Comparing classification schemes. ACM Trans. Inf. Syst. 23(4): 430-462 (2005) - [c24]Li Zhou, Padmini Srinivasan:
Concept Space Comparisons: Explorations with Five Health Domains. AMIA 2005 - [c23]Miguel E. Ruiz, Olivier Bodenreider, Eric Little, Padmini Srinivasan:
Ontological research and its applications to the biomedical domain. ASIST 2005 - [c22]Aditya Kumar Sehgal, Padmini Srinivasan
Manjal: a text mining system for MEDLINE. SIGIR 2005: 680 - [c21]David Eichmann, Padmini Srinivasan:
Experiments in Questions and Relationships at the University of Iowa. TREC 2005 - 2004
- [j17]Padmini Srinivasan
Text mining: Generating hypotheses from MEDLINE. J. Assoc. Inf. Sci. Technol. 55(5): 396-413 (2004) - [j16]Filippo Menczer
Topical web crawlers: Evaluating adaptive algorithms. ACM Trans. Internet Techn. 4(4): 378-419 (2004) - [c20]Padmini Srinivasan
Mining MEDLINE for implicit links between dietary substances and diseases. ISMB/ECCB (Supplement of Bioinformatics) 2004: 290-296 - [c19]Padmini Srinivasan
Distilling Conceptual Connections from MeSH Co-Occurrences. MedInfo 2004: 808-812 - [c18]David Eichmann, Yi Zhang, Shannon Bradshaw, Xin Ying Qiu, Li Zhou, Padmini Srinivasan, Aditya Kumar Sehgal, Hudon Wong:
Novelty, Question Answering and Genomics: The University of Iowa Response. TREC 2004 - [p1]Gautam Pant, Padmini Srinivasan, Filippo Menczer:
Crawling the Web. Web Dynamics 2004: 153-178 - 2003
- [c17]Larry McKnight, Padmini Srinivasan:
Categorization of Sentence Types in Medical Abstracts. AMIA 2003 - [c16]Miguel E. Ruiz, Padmini Srinivasan
Hybrid hierarchical classifiers for categorization of medical documents. ASIST 2003: 65-70 - [c15]Neil R. Smalheiser
Literature-based discovery: New trends and techniques. Sponsored by SIG HCI. ASIST 2003: 497 - [c14]David Eichmann, Padmini Srinivasan, Marc Light, Hudong Wang, Xin Ying Qiu, Robert J. Arens, Aditya Kumar Sehgal:
Experiments in Novelty, Genes and Questions at the University of Iowa. TREC 2003: 678-685 - 2002
- [j15]Miguel E. Ruiz, Padmini Srinivasan
Hierarchical Text Categorization Using Neural Networks. Inf. Retr. 5(1): 87-118 (2002) - [j14]David Eichmann, Padmini Srinivasan
Adaptive Filtering of Newswire Stories using Two-Level Clustering. Inf. Retr. 5(2-3): 209-237 (2002) - [c13]Padmini Srinivasan, Thomas C. Rindflesch:
Exploring text mining from MEDLINE. AMIA 2002 - [c12]David Eichmann, Padmini Srinivasan:
Novel Results and Some Answers - The University of Iowa TREC 11 Results. TREC 2002 - [c11]Gautam Pant, Padmini Srinivasan, Filippo Menczer:
Exploration versus Exploitation in Topic Driven Crawlers. WebDyn@WWW 2002: 88-97 - 2001
- [j13]Padmini Srinivasan
Vocabulary mining for information retrieval: rough sets and fuzzy sets. Inf. Process. Manag. 37(1): 15-38 (2001) - [c10]Padmini Srinivasan:
MeSHmap: a text mining tool for MEDLINE. AMIA 2001 - [c9]Filippo Menczer
Evaluating Topic-Driven Web Crawlers. SIGIR 2001: 241-249 - 2000
- [c8]Elena Catona, David Eichmann, Padmini Srinivasan:
Filters and Answers: The University of Iowa TREC-9 Results. TREC 2000
1990 – 1999
- 1999
- [j12]Wai Lam, Miguel E. Ruiz, Padmini Srinivasan
Automatic Text Categorization and Its Application to Text Retrieval. IEEE Trans. Knowl. Data Eng. 11(6): 865-879 (1999) - [c7]Padmini Srinivasan:
Exploring the UMLS: a rough sets based theoretical framework. AMIA 1999 - [c6]Miguel E. Ruiz, Padmini Srinivasan
Hierarchical Neural Networks for Text Categorization (poster abstract). SIGIR 1999: 281-282 - [c5]David Eichmann, Padmini Srinivasan:
Filters, Webs and Answers: The University of Iowa TREC-8 Results. TREC 1999 - 1998
- [j11]Padmini Srinivasan
Integrated digital libraries: changing the essence of research, analysis and knowledge management. J. Knowl. Manag. 2(2): 47-52 (1998) - [c4]David Eichmann
Cross-Language Information Retrieval with the UMLS Metathesaurus. SIGIR 1998: 72-80 - [c3]David Eichmann, Miguel E. Ruiz, Padmini Srinivasan:
Cluster-Based Adaptive and Batch Filtering. TREC 1998: 211-220 - 1996
- [j10]Padmini Srinivasan
Query Expansion and MEDLINE. Inf. Process. Manag. 32(4): 431-443 (1996) - [j9]Padmini Srinivasan
Optimal Document-Indexing Vocabulary for MEDLINE. Inf. Process. Manag. 32(5): 503-514 (1996) - [j8]Padmini Srinivasan
Research Paper: Retrieval Feedback in MEDLINE. J. Am. Medical Informatics Assoc. 3(2): 157-167 (1996) - 1994
- [j7]Denis Gracanin
Parameterized Petri Nets and Their Application to Planning and Coordination in Intelligent Systems. IEEE Trans. Syst. Man Cybern. Syst. 24(10): 1483-1497 (1994) - 1993
- [j6]D. V. Rama, Padmini Srinivasan
An Investigation of Content Representation Using Text Grammars. ACM Trans. Inf. Syst. 11(1): 51-75 (1993) - [c2]Denis Gracanin, Padmini Srinivasan, Kimon P. Valavanis:
Fundamentals of Parameterized Petri Nets. ICRA (1) 1993: 584-591 - 1992
- [c1]Connie Delaney, D. V. Rama, Padmini Srinivasan:
Design of a temporal database for phlebitis. SAC 1992: 204-209 - 1991
- [j5]Padmini Srinivasan
The Importance of Rough Approximations for Information Retrieval. Int. J. Man Mach. Stud. 34(5): 657-671 (1991) - 1990
- [j4]Padmini Srinivasan
A comparison of two-poisson, inverse document frequency and discrimination value models of document representation. Inf. Process. Manag. 26(2): 269-278 (1990) - [j3]Padmini Srinivasan:
On generalizing the Two-Poisson Model. J. Am. Soc. Inf. Sci. 41(1): 61-66 (1990) - [j2]Mathew B. Koll, Padmini Srinivasan:
Fuzzy versus probabilistic models for user relevance judgments. J. Am. Soc. Inf. Sci. 41(4): 264-271 (1990)
1980 – 1989
- 1989
- [j1]Padmini Srinivasan
Intelligent information retrieval using rough set approximations. Inf. Process. Manag. 25(4): 347-361 (1989)
Coauthor Index
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