Padmini Srinivasan

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

Yelena Mejova, Padmini Srinivasan, Bob Boynton: GOP primary season on twitter: "popular" political sentiment in social media. WSDM 2013: 517-526

Sanmitra Bhattacharya, Padmini Srinivasan: A semantic approach to involve Twitter in LBD efforts. BIBM Workshops 2012: 248-253

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

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

Carsten Eickhoff, Christopher G. Harris, Arjen P. de Vries, Padmini Srinivasan: Quality through flow and immersion: gamifying crowdsourced relevance assessments. SIGIR 2012: 871-880

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

Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan, Jerry Suls: Belief surveillance with Twitter. WebSci 2012: 43-46

Yelena Mejova, Padmini Srinivasan: Political speech in social media streams: YouTube comments and Twitter posts. WebSci 2012: 205-208

Sanmitra Bhattacharya, Viet Ha-Thuc, Padmini Srinivasan: MeSH: a window into full text for document summarization. Bioinformatics [ISMB/ECCB] 27(13): 120-128 (2011)

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 Bioinformatics 12(S-8): S2 (2011)

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 Bioinformatics 12(S-8): S4 (2011)

Mohammad Khoshneshin, W. Nick Street, Padmini Srinivasan: Bayesian Embedding of Co-occurrence Data for Query-Based Visualization. ICMLA (1) 2011: 74-79

Yelena Mejova, Padmini Srinivasan: Exploring Feature Definition and Selection for Sentiment Classifiers. ICWSM 2011

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

Carsten Eickhoff, Christopher G. Harris, Padmini Srinivasan, Arjen P. de Vries: GeAnn at the TREC 2011 Crowdsourcing Track. TREC 2011

Ramji Balakrishnan, Xin Ying Qiu, Padmini Srinivasan: On the predictive ability of narrative disclosures in annual reports. European Journal of Operational Research 202(3): 789-801 (2010)

Gautam Pant, Padmini Srinivasan: Predicting Web Page Status. Information Systems Research 21(2): 345-364 (2010)

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

Si-Chi Chin, W. Nick Street, Padmini Srinivasan, David Eichmann: Detecting Wikipedia vandalism with active learning and statistical language models. WICOW 2010: 3-10

Viet Ha-Thuc, Padmini Srinivasan: A Latent Dirichlet Framework for Relevance Modeling. AIRS 2009: 13-25

Viet Ha-Thuc, Yelena Mejova, Christopher G. Harris, Padmini Srinivasan: A relevance-based topic model for news event tracking. SIGIR 2009: 764-765

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

Padmini Srinivasan: Text Mining of Biological Resources. Encyclopedia of Database Systems 2009: 3065-3068

Viet Ha-Thuc, Padmini Srinivasan: Topic models and a revisit of text-related applications. PIKM 2008: 25-32

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

Viet Ha-Thuc, Duc-Cuong Nguyen, Padmini Srinivasan: A quality-threshold data summarization algorithm. RIVF 2008: 240-246

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

Padmini Srinivasan, Xin Ying Qiu: GO for gene documents. BMC Bioinformatics 8(S-9) (2007)

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

Aditya Kumar Sehgal, Padmini Srinivasan: Profiling Topics on the Web. I3 2007

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

Aditya Kumar Sehgal, Padmini Srinivasan: Retrieval with gene queries. BMC Bioinformatics 7: 220 (2006)

Gautam Pant, Padmini Srinivasan: Link Contexts in Classifier-Guided Topical Crawlers. IEEE Trans. Knowl. Data Eng. 18(1): 107-122 (2006)

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

Padmini Srinivasan, Filippo Menczer, Gautam Pant: A General Evaluation Framework for Topical Crawlers. Inf. Retr. 8(3): 417-447 (2005)

Gautam Pant, Padmini Srinivasan: Learning to crawl: Comparing classification schemes. ACM Trans. Inf. Syst. 23(4): 430-462 (2005)

Aditya Kumar Sehgal, Padmini Srinivasan: Manjal: a text mining system for MEDLINE. SIGIR 2005: 680

David Eichmann, Padmini Srinivasan: Experiments in Questions and Relationships at the University of Iowa. TREC 2005

Padmini Srinivasan: Text mining: Generating hypotheses from MEDLINE. JASIST 55(5): 396-413 (2004)

Filippo Menczer, Gautam Pant, Padmini Srinivasan: Topical web crawlers: Evaluating adaptive algorithms. ACM Trans. Internet Techn. 4(4): 378-419 (2004)

Gautam Pant, Padmini Srinivasan, Filippo Menczer: Crawling the Web. Web Dynamics 2004: 153-178

Padmini Srinivasan, Bisharah Libbus: Mining MEDLINE for implicit links between dietary substances and diseases. ISMB/ECCB (Supplement of Bioinformatics) 2004: 290-296

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

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

Miguel E. Ruiz, Padmini Srinivasan: Hierarchical Text Categorization Using Neural Networks. Inf. Retr. 5(1): 87-118 (2002)

David Eichmann, Padmini Srinivasan: Adaptive Filtering of Newswire Stories using Two-Level Clustering. Inf. Retr. 5(2-3): 209-237 (2002)

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

Padmini Srinivasan, Miguel E. Ruiz, Donald H. Kraft, Jianhua Chen: Vocabulary mining for information retrieval: rough sets and fuzzy sets. Inf. Process. Manage. 37(1): 15-38 (2001)

Filippo Menczer, Gautam Pant, Padmini Srinivasan, Miguel E. Ruiz: Evaluating Topic-Driven Web Crawlers. SIGIR 2001: 241-249

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

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)

Miguel E. Ruiz, Padmini Srinivasan: Hierarchical Neural Networks for Text Categorization (poster abstract). SIGIR 1999: 281-282

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

David Eichmann, Miguel E. Ruiz, Padmini Srinivasan: Cross-Language Information Retrieval with the UMLS Metathesaurus. SIGIR 1998: 72-80

David Eichmann, Miguel E. Ruiz, Padmini Srinivasan: Cluster-Based Adaptive and Batch Filtering. TREC 1998: 211-220

Padmini Srinivasan: Query Expansion and MEDLINE. Inf. Process. Manage. 32(4): 431-443 (1996)

Padmini Srinivasan: Optimal Document-Indexing Vocabulary for MEDLINE. Inf. Process. Manage. 32(5): 503-514 (1996)

D. V. Rama, Padmini Srinivasan: An Investigation of Content Representation Using Text Grammars. ACM Trans. Inf. Syst. 11(1): 51-75 (1993)

Denis Gracanin, Padmini Srinivasan, Kimon P. Valavanis: Fundamentals of Parameterized Petri Nets. ICRA (1) 1993: 584-591

Padmini Srinivasan: The Importance of Rough Approximations for Information Retrieval. International Journal of Man-Machine Studies 34(5): 657-671 (1991)

Padmini Srinivasan: A comparison of two-poisson, inverse document frequency and discrimination value models of document representation. Inf. Process. Manage. 26(2): 269-278 (1990)

Padmini Srinivasan: On generalizing the Two-Poisson Model. JASIS 41(1): 61-66 (1990)

Mathew B. Koll, Padmini Srinivasan: Fuzzy versus probabilistic models for user relevance judgments. JASIS 41(4): 264-271 (1990)

Padmini Srinivasan: Intelligent information retrieval using rough set approximations. Inf. Process. Manage. 25(4): 347-361 (1989)