Kazem Taghva
About
Kazem Taghva has authored 34 papers that have received a total of 893 indexed citations.
This includes 23 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. The topics of these papers are Handwritten Text Recognition Techniques (12 papers), Natural Language Processing Techniques (10 papers) and Web Data Mining and Analysis (8 papers). Kazem Taghva is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Natural Language Processing Techniques (10 papers) and Web Data Mining and Analysis (8 papers) and collaborates with scholars based in United States. Kazem Taghva's co-authors include Julie Borsack, Allen Condit, Thomas A. Nartker, Jorge Ramón Fonseca Cacho and Kate Zhong and has published in prestigious journals such as IEEE Access, Information Processing & Management and Theoretical Computer Science
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