| Learning author-topic models from text corpora M Rosen-Zvi, C Chemudugunta, T Griffiths, P Smyth, M Steyvers ACM Transactions on Information Systems (TOIS) 28 (1), 1-38, 2010 | 425 | 2010 |
| Modeling general and specific aspects of documents with a probabilistic topic model C Chemudugunta, P Smyth, M Steyvers Advances in neural information processing systems 19, 2006 | 284 | 2006 |
| Statistical entity-topic models D Newman, C Chemudugunta, P Smyth Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 234 | 2006 |
| Analyzing entities and topics in news articles using statistical topic models D Newman, C Chemudugunta, P Smyth, M Steyvers Intelligence and Security Informatics: IEEE International Conference on …, 2006 | 192 | 2006 |
| Modeling documents by combining semantic concepts with unsupervised statistical learning C Chemudugunta, A Holloway, P Smyth, M Steyvers The Semantic Web-ISWC 2008: 7th International Semantic Web Conference, ISWC …, 2008 | 119 | 2008 |
| Subject metadata enrichment using statistical topic models D Newman, K Hagedorn, C Chemudugunta, P Smyth Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries …, 2007 | 63 | 2007 |
| Deterministic latent variable models and their pitfalls M Welling, C Chemudugunta, N Sutter Proceedings of the 2008 SIAM International Conference on Data Mining, 196-207, 2008 | 55 | 2008 |
| Combining concept hierarchies and statistical topic models C Chemudugunta, P Smyth, M Steyvers Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 51 | 2008 |
| Combining background knowledge and learned topics M Steyvers, P Smyth, C Chemuduganta Topics in cognitive science 3 (1), 18-47, 2011 | 44 | 2011 |
| Text modeling using unsupervised topic models and concept hierarchies C Chemudugunta, P Smyth, M Steyvers arXiv preprint arXiv:0808.0973, 2008 | 17 | 2008 |
| Silhouette-Opaque Transparency Rendering. O Sen, C Chemudugunta, M Gopi Computer Graphics and Imaging, 153-158, 2003 | 9 | 2003 |
| Text mining with probabilistic topic models: applications in information retrieval and concept modeling C Chemudugunta Lambert Academic Publishing, 2010 | 8 | 2010 |
| Probabilistic topic models for information retrieval and concept modeling CC Chemudugunta University of California, Irvine, 2009 | 2 | 2009 |
| Part I-Long Papers-Intelligence Analysis and Knowledge Discovery-Analyzing Entities and Topics in News Articles Using Statistical Topic Models D Newman, C Chemudugunta, P Smyth, M Steyvers Lecture Notes in Computer Science 3975, 93-104, 2006 | 1 | 2006 |
| Stranger Genres: Computationally Classifying Reprinted Nineteenth Century Newspaper Texts M Rosen-Zvi, C Chemudugunta, T Griffiths, P Smyth, M Steyvers, ... Digital Humanities 2018: Book of Abstracts/Libro de resúmenes. 11 (1), 1-33, 2018 | | 2018 |
| Learning about Citations using Statistical Topic Models C Chemudugunta, P Smyth, M Steyvers | | |
| Exploring Large Document Collections using Statistical Topic Models KDD-2006 Demo Session D Newman, A Asuncion, C Chemudugunta, V Kumar, P Smyth, ... | | |
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineZweryfikowany adres z ics.uci.edu
