Publications

Found 100 results
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E
Evans, W. S. (1994).  Information Theory and Noisy Computation.
Etzioni, O., Hanks S., Jiang T., & Karp R. M. (1996).  Efficient Information Gathering on the Internet. Proceedings. Thirty-Seventh Annual Symposium Foundations of Computer Science. 234-243.
etin, Ö. Ç., & Ostendorf M. (2005).  Multi-Rate and Variable-Rate Modeling of Speech at Phone and Syllable Time Scales. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005). 665-668.
etin, Ö. Ç., & Shriberg E. (2006).  Overlap in Meetings: ASR Effects and Analysis by Dialog Factors, Speakers, and Collection Site. Proceedings of the Third Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2006). 212-224.
etin, Ö. Ç., Kantor A., King S., Bartels C., Magimai-Doss M., Frankel J., et al. (2007).  An Articulatory Feature-Based Tandem Approach and Factored Observation Modeling. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007). 4, 645-648.
etin, Ö. Ç., & Shriberg E. (2006).  Speaker Overlaps and ASR Errors in Meetings: Effects Before, During, and After the Overlap. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). 357-360.
etin, Ö. Ç., & Stolcke A. (2005).  Language Modeling in the ICSI-SRI Spring 2005 Meeting Speech Recognition Evaluation System.
Estrin, D., Handley M., Helmy A., Huang P., & Thaler D. (1999).  A Dynamic Bootstrap Mechanism for Rendezvous-Based Multicast Routing. Proceedings of Infocom 1999.
Estrin, D., Handley M., Heidemann J., McCanne S., Xu Y.., & Yu H. (2000).  Network Visualization with the Nam, VINT Network Animator.
Eskin, E., Halperin E., & Karp R. M. (2003).  Efficient Reconstruction of Haplotype Structure Via Perfect Phylogeny. Journal of Bioinformatics and Computational Biology. 1(1), 1-20.
Eskin, E., Halperin E., & Karp R. M. (2003).  Large Scale Reconstruction of Haplotypes from Genotype Data. Proceedings of the Seventh Conference on Research in Computational Biology (RECOMB).
Eskin, E., Halperin E., & Karp R. M. (2002).  Large-Scale Reconstruction of Haplotype Structure via Perfect Phylogeny.
Eskin, E., Halperin E., & Sharan R. (2004).  Optimally Phasing Long Genomic Regions using Local Haplotype Predictions. Proceedings of the Second RECOMB Satellite Workshop on Computational Methods for SNPs and Haplotypes. 13-16.
Eskin, E., Halperin E., & Sharan R. (2006).  A Note on Optimally Phasing Long Genomic Regions Using Local Haplotype Predictions. Journal of Bioinformatics and Computational Biology. 4(3), 639-647.
Eshragh, A., Roosta F., Nazari A., & Mahoney M. (2022).  LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data. Journal of Machine Learning Research. 23, 1-36.
Ertel, W. (1993).  On the Definition of Speedup.
Ermolinskiy, A., Katti S., Shenker S. J., Fowler L. L., & McCauley M. (2010).  Towards Practical Taint Tracking.
Ermolinskiy, A., & Shenker S. J. (2008).  Reducing Transient Disconnectivity Using Anomaly-Cognizant Forwarding.
Ermolinskiy, A., Moon D., Chun B-G., & Shenker S. J. (2008).  Minuet: Rethinking Concurrency Control in Storage Area Networks.
Ermolinskiy, A., & Shenker S. J. (2008).  Reducing Transient Disconnectivity Using Anomaly-Cognizant Forwarding. 91-96.
Ermolinskiy, A., & Shenker S. J. (2011).  Design and Implementation of a Hypervisor-Based Platform for Dynamic Information Flow Tracking in a Distributed Environment.
Ermolinskiy, A., Moon D., Chun B-G., & Shenker S. J. (2009).  Minuet: Rethinking Concurrency Control in Storage Area Networks. 311-324.
N. Erichson, B., Mathelin L., Yao Z., Bruntonq S. L., Mahoney M., & J. Kutz N. (2020).  Shallow neural networks for fluid flow reconstruction with limited sensors. Proceedings of the Royal Society A. 476(2238), 
N. Erichson, B., Taylor D., Wu Q., & Mahoney M. (2021).  Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). 100-108.
N. Erichson, B., Azencot O., Queiruga A., Hodgkinson L., & Mahoney M. (2021).  Lipschitz recurrent neural networks. International Conference on Learning Representations.

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