Publications

Found 4258 results
Author [ Title(Desc)] Type Year
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I
Mirghafori, N., Hatch A., Stafford S., Boakye K., Gillick D., & Peskin B. (2005).  ICSI's 2005 Speaker Recognition System. Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2005). 23-28.
Janin, A., Stolcke A., Anguera X., Boakye K., etin Ö. Ç., Frankel J., et al. (2006).  The ICSI-SRI Spring 2006 Meeting Recognition System.
Liu, Y., Shriberg E., Stolcke A., Peskin B., & Harper M. P. (2004).  The ICSI/SRI/UW RT04 Structural Metadata Extraction System. RT-04 EARS Workshop.
Nedevschi, S., Patra R., & Pal J. (2009).  ICTD State of the Union: Where Have We Reached and Where Are We Headed?.
Mandel, M. I., & Ellis D. P. W. (2009).  The Ideal Interaural Parameter Mask: A Bound on Binaural Separation Systems. 85-88.
Berlekamp, E. (2002).  Idempotents Among Partesan Games.
Sharan, R., Ideker T. E., Kelley B. P., Shamir R., & Karp R. M. (2004).  Identification of Protein Complexes by Comparative Analysis of Yeast and Bacterial Protein Interaction Data. Proceedings of the 8th Annual International Conference on Research in Computational Molecular Biology (RECOMB'04). 282-289.
Sharan, R., Ideker T. E., Kelley B. P., Shamir R., & Karp R. M. (2004).  Identification of Protein Complexes by Comparative Analysis of Yeast and Bacterial Protein Interaction Data. Proceedings of RECOMB 2004. 282-289.
Sharan, R., Ideker T. E., Kelley B. P., Shamir R., & Karp R. M. (2005).  Identification of Protein Complexes by Comparative Analysis of Yeast and Bacterial Protein Interaction Data. Journal of Computational Biology. 12(6), 835-846.
Sharan, R., Ideker T. E., Kelley B. P., Shamir R., & Karp R. M. (2003).  Identification of Protein Complexes by Comparative Analysis of Yeast and Bacterial Protein Interaction Data.
Sharan, R., Ideker T. E., Kelley B. P., Shamir R., & Karp R. M. (2004).  Identification of Protein Complexes by Comparative Analysis of Yeast and Bacterial Protein Interaction Data. Proceedings of the 8th Annual International Conference on Research in Computational Molecular Biology (RECOMB'04). 282-289.
Hilpert, M., & Gries S. Th. (2008).  The Identification of Stages in Diachronic Data: Variability-Based Neighbor Clustering. Corpora. 3(1), 59-81.
Galley, M., McKeown K. R., Hirschberg J., & Shriberg E. (2004).  Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies. Proceedings of the 42nd Meeting of the Association for Computational Linguistics (ACL 04).
Yang, J., Rübel O., Prabhat, Mahoney M., & Bowen B. P. (2015).  Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions. Analytical Chemistry. 87(9), 4658-4666.
Gymrek, M., McGuire A. L., Golan D., Halperin E., & Erlich Y. (2013).  Identifying Personal Genomes by Surname Inference. Science. 339(6117), 321-324.
Padhye, J., & Floyd S. (2001).  Identifying the TCP Behavior of Web Servers. SIGCOMM 2001.
Padhye, J., & Floyd S. (2001).  Identifying the TCP Behavior of Web Servers.
Kimmel, G., Sharan R., & Shamir R. (2003).  Idetifying Blocks and Sub-Populations in Noisy SNP Data. Proceedings of the Third Workshop on Algorithms in Bioinformatics (WABI'03). 303-319.
Mankin, A.., Romanow A., Bradner S.., & Paxson V. (1998).  IETF Criteria for Evaluating Reliable Multicast Transport and Application Protocols.
Kay, P. (2009).  If a Canoe Can Be Carved from Every Log Why Can't a Log Be Carved into Every Canoe?.
Kivinen, J. J., Sudderth E. B., & Jordan M. I. (2007).  Image Denoising with Nonparametric Hidden Markov Trees. 3, 121-124.
Amirshahi, S. Ali, Pedersen M., & Yu S. X. (2016).  Image Quality Assessment by Comparing CNN Features Between Images. Journal of Imaging Science and Technology.
Baraldi, A., Blonda P., Parmiggiani F., & Satalino G. (1998).  Image Segmentation Through Contextual Clustering.
Bettinson, M., & Bird S. (2018).  Image-Gesture-Voice: A Web Component for Eliciting Speech. Proceedings of the LREC 2018 Workshop.
Shanley, L.. A., Fortson L.., Berger-Wolf T.., Crowston K.., & Michelucci M.. (2021).  Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. Computing Community Consortium (CCC).

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