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2020 – today
- 2024
[c86]Maaz Bin Musa, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin, Padmini Srinivasan, Mihailis Diamantis, Rishab Nithyanand:
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits. EMNLP 2024: 3710-3722- [i10]Maaz Bin Musa, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin, Padmini Srinivasan, Mihailis E. Diamantis, Rishab Nithyanand:
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits. CoRR abs/2410.03925 (2024) - 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, Alberto Maria Segre, Padmini Srinivasan:
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, Padmini Srinivasan, Philip Polgreen:
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, Zubair Shafiq, Padmini Srinivasan:
Revisiting The American Voter on Twitter. CHI 2017: 4507-4519 - [c70]Huyen T. Le, G. R. Boynton, Yelena Mejova, Zubair Shafiq, Padmini Srinivasan:
Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter. HT 2017: 215-224 - [c69]Usman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar:
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, Bob Boynton:
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, Xiao-Ning Zhang, Roxane Bouten, Caren Chang:
Ferret: a sentence-based literature scanning system. BMC Bioinform. 16: 198:1-198:11 (2015) - [c65]Nick Becker, Caren Chang, Louiqa Raschid, Padmini Srinivasan, Bram Van de Poel, Xiao-Ning Zhang, Elena Zotkina:
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, Yong Hu:
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, Padmini Srinivasan:
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, Padmini Srinivasan:
Comparing Crowd-Based, Game-Based, and Machine-Based Approaches in Initial Query and Query Refinement Tasks. ECIR 2013: 495-506 - [c59]Yelena Mejova, Padmini Srinivasan, Bob Boynton:
GOP primary season on twitter: "popular" political sentiment in social media. WSDM 2013: 517-526 - [r2]Christopher G. Harris, Padmini Srinivasan:
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, Padmini Srinivasan:
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, Arjen P. de Vries, Padmini Srinivasan:
Quality through flow and immersion: gamifying crowdsourced relevance assessments. SIGIR 2012: 871-880 - [c51]Christopher G. Harris, Padmini Srinivasan:
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, Jerry Suls:
Belief surveillance with Twitter. WebSci 2012: 43-46 - [c48]Yelena Mejova, Padmini Srinivasan:
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, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illés Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sérgio Matos, David Campos, Karin Verspoor, Kevin M. Livingston, W. John Wilbur:
The gene normalization task in BioCreative III. BMC Bioinform. 12(S-8): S2 (2011) - [j25]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, Ulf Leser, Donghui Li, Feifan Liu, Zhiyong Lu, Lois J. Maltais, Naoaki Okazaki, Livia Perfetto, Fabio Rinaldi, Rune Sætre, David Salgado, Padmini Srinivasan, Philippe E. Thomas, Luca Toldo, Lynette Hirschman, Cathy H. Wu:
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, Xin Ying Qiu, Padmini Srinivasan:
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, Robert Arens, Padmini Srinivasan:
Comparison of IPC and USPC classification systems in patent prior art searches. PaIR@CIKM 2010: 27-32 - [c40]Viet Ha-Thuc, Yelena Mejova, Christopher G. Harris, Padmini Srinivasan:
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, David Eichmann:
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, Steven Foster, Robert Arens, Padmini Srinivasan:
On the role of classification in patent invalidity searches. PaIR@CIKM 2009: 29-32 - [c36]Viet Ha-Thuc, Yelena Mejova, Christopher G. Harris, Padmini Srinivasan:
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, Xin Ying Qiu:
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, Nigam Shah, Daniel L. Rubin, Natasha Fridman Noy:
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, Panayiotis Tsaparas, Padmini Srinivasan, Aditya Kumar Sehgal:
Ranking target objects of navigational queries. WIDM 2006: 27-34 - 2005
- [j19]Padmini Srinivasan, Filippo Menczer, Gautam Pant:
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, Gautam Pant, Padmini Srinivasan:
Topical web crawlers: Evaluating adaptive algorithms. ACM Trans. Internet Techn. 4(4): 378-419 (2004) - [c20]Padmini Srinivasan, Bisharah Libbus:
Mining MEDLINE for implicit links between dietary substances and diseases. ISMB/ECCB (Supplement of Bioinformatics) 2004: 290-296 - [c19]Padmini Srinivasan, Dimitar Hristovski:
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, Carole L. Palmer, Don R. Swanson, Padmini Srinivasan, Marti A. Hearst:
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, Miguel E. Ruiz, Donald H. Kraft, Jianhua Chen:
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, Gautam Pant, Padmini Srinivasan, Miguel E. Ruiz:
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, Miguel E. Ruiz, Padmini Srinivasan:
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, Padmini Srinivasan, Kimon P. Valavanis:
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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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-15 20:42 CET by the dblp team
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