Publications

Found 1074 results
Author Title [ Type(Desc)] Year
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Conference Paper
Frik, A., Bernd J., & Alomar N. (2019).  The Contextual Preferences of Older Adults on Information Sharing. Proceeding of the 2nd annual Symposium on Applications of Contextual Integrity.
Fosler-Lussier, E. (1999).  Contextual Word and Syllable Pronunciation Models. Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU-99).
Fillmore, C. J. (1990).  The Contribution of Linguistics to Language Understanding. Proceedings of the First Symposium on Cognition, Language, and Culture. 109-128.
Thaw, D., Feldman J., & Li J. (2008).  CoPE: Democratic CSCW in Support of e-Learning. 481-486.
Fillmore, C. J. (1991).  "Corpus linguistics" vs. "computer-aided armchair linguistics". Directions in Corpus Linguistics: Proceedings from a 1991 Nobel Symposium on Corpus Linguistics. 35-66.
Faria, A., & Morgan N. (2008).  Corrected Tandem Features for Acoustic Model Training. 4737-4740.
Cuendet, S., Hakkani-Tür D., Shriberg E., Fung J., & Favre B. (2007).  Cross-Genre Feature Comparisons for Spoken Sentence Segmentation. 265-274.
Cuendet, S., Hakkani-Tür D., Shriberg E., Fung J., & Favre B. (2007).  Cross-Genre Feature Comparisons for Spoken Sentence Segmentation. 265-274.
Cook, H., Gonina E., Kamil S., Friedland G., Patterson D., & Fox A. (2011).  CUDA-Level Performance with Python-Level Productivity for Gaussian Mixture Model Applications.
Cook, H., Gonina E., Kamil S., Friedland G., Patterson D., & Fox A. (2011).  CUDA-Level Performance with Python-Level Productivity for Gaussian Mixture Model Applications.
Friedland, G., & Sommer R. (2010).  Cybercasing the Joint: On the Privacy Implications of Geotagging.
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.
Fritz, M., & Schiele B. (2008).  Decomposition, Discovery, and Detection of Visual Categories Using Topic Models.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Fernández-Iglesias, M. J., Pavón-Marino P., Rodríguez J.., Rifon L. Anido, & Llamas-Nistal M. (2000).  DelfosnetX: A Workbench for XML-Based Information Retrieval Systems. Proceedings of the 7th International Symposium on String Processing and Information Retrieval. 87-95.
Luo, Z., Fu S., Theis M., Hasan S., Ratnasamy S., & Shenker S. (2021).  Democratizing cellular access with CellBricks. SIGCOMM '21: Proceedings of the 2021 ACM SIGCOMM 2021 Conference.
Rosario, B., Hearst M. A., & Fillmore C. J. (2002).  The Descent of Hierarchy, and Selection in Relational Semantics. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL 2002). 247-254.
Feldman, J. (1993).  Designing a Connectionist Network Supercomputer. Proceedings of the Third International Conference on Microelectronics for Neural Networks. 253-262.
Kohler, E., Handley M., & Floyd S. (2006).  Designing DCCP: Congestion Control Without Reliability. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2006). 27-38.
Jones, B., Feamster N., Paxson V., Weaver N., & Allman M. (2016).  Detecting DNS Root Manipulation. Proceedings of Passive and Active Measurement Conference (PAM).
Vergyri, D., Mandal A., Wang W., Stolcke A., Zheng J., Graciarena M., et al. (2008).  Development of the SRI/Nightingale Arabic ASR system. 1437-1440.
Zhao, T., Choi J., & Friedland G. (2020).  DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models. International Conference on Multimedia Modeling. 729-733.
Galley, M., McKeown K. R., Fosler-Lussier E., & Jing H.. (2003).  Discourse Segmentation of Multi-party Conversation. Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL-03).
Jing, L., Liu B., Choi J., Janin A., Bernd J., Mahoney M., et al. (2016).  A discriminative and compact audio representation for event detection. Proceedings of the 2016 ACM Conference on Multimedia (MM '16). 57-61.

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