| 2023 | SSDBM | InfoMoD: Information-theoretic Model Diagnostics. | Armin Esmaeilzadeh, Lukasz Golab, Kazem Taghva |
| 2011 | ICCS | Name Extraction and Formal Concept Analysis. | Kazem Taghva, Russell Beckley, Jeffrey S. Coombs |
| 2011 | ICSEng | Acronym Expansion Via Hidden Markov Models. | Kazem Taghva, Lakshmi Vyas |
| 2010 | IKE | Applying Vector Space Model to Desktop Search Engine. | Manjit Riat, Kazem Taghva |
| 2008 | IKE | Standardization of References using Hidden Markov Model. | Kazem Taghva, Swamynathan Sambanurthy |
| 2007 | ICDAR | Extracting _Carbon Copy_ Names and Organizations from a Heterogeneous Document Collection. | Kazem Taghva, Russell Beckley, Jeffrey S. Coombs |
| 2006 | DAS | The Effects of OCR Error on the Extraction of Private Information. | Kazem Taghva, Russell Beckley, Jeffrey S. Coombs |
| 2002 | DAS | Hairetes: A Search Engine for OCR Documents. | Kazem Taghva, Jeffrey S. Coombs |
| 1994 | SIGIR | Results of Applying Probabilistic IR to OCR Text. | Kazem Taghva, Julie Borsack, Allen Condit |
| 1989 | SEKE | A Novel Way 1o Identify IneguaIity Query Subclasses Which possess the Homomorphism Property. | Tianzheng Wu, James L. Clark, Nong Zhou, Kazem Taghva |