Publications

Found 4228 results
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Zaharia, M., Bolosky W. J., Curtis K., Fox A., Patterson D., Shenker S. J., et al. (2011).  Faster and More Accurate Sequence Alignment with SNAP.
Zaharia, M., Das T., Li H., Shenker S. J., & Stoica I. (2012).  Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. 1-6.
Zaharia, M., Xin R. S., Wendell P., Das T., Armbrust M., Dave A., et al. (2016).  Apache Spark: a unified engine for big data processing. Communications of the ACM. 59(11), 56-65.
Zaharia, M., Chowdhury M., Franklin M. J., Shenker S. J., & Stoica I. (2010).  Spark: Cluster Computing with Working Sets. 1-7.
Zaharia, M., Borthakur D., Sarma J. Sen, Elmeleegy K., Shenker S. J., & Stoica I. (2009).  Job Scheduling for Multi-User MapReduce Clusters.
Zaitlen, N., Pasaniuc B., Gur T., Ziv E., & Halperin E. (2010).  Leveraging Genetic Variability Across Populations for the Identification of Causal Variants. The American Journal of Human Genetics. 86(1), 23-33.
Zaitlen, N., Kang H. Min, Feolo M. L., Sherry S. T., Halperin E., & Eskin E. (2005).  Inference and Analysis of Haplotypes from Combined Genotyping Studies Deposited in dbSNP. Genome Research. 15(11), 1594-1600.
Zaitlen, N., Kang H. Min, Eskin E., & Halperin E. (2007).  Leveraging the HapMap Correlation Structure in Association Studies. American Journal of Human Genetics. 80, 683-691.
Zamir, O.., Etzioni O., Madani O.., & Karp R. M. (1997).  Fast and Intuitive Clustering of Web Documents. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 287-290.
Zarchy, D., Mittal R., Schapira M., & Shenker S. J. (2019).   Axiomatizing Congestion Control. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 3(2), 
Zaslavsky, N., Regier T., Tishby N., & Kemp C. (2019).  Semantic categories of artifacts and animals reflect efficient coding. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Garvin K., Kemp C., Tishby N., & Regier T. (2019).  Evolution and efficiency in color naming: The case of Nafaanra. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Kemp C., Tishby N., & Regier T. (2019).  Communicative need in colour naming. Cognitive Neuropsychology.
Zeiler, S., Meutzner H., Abdelaziz A. Hussen, & Kolossa D. (2016).  Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement. Proceedings of Interspeech 2016.
Zhang, N., Paluri M., Ranzato M. Aurelio, Darrell T., & Bourdev L. (2014).  PANDA: Pose Aligned Networks for Deep Attribute Modeling.
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Zhang, H., & Keshav S. (1991).  Large Comparison of Rate-Based Service Disciplines.
Zhang, J. (1991).  The Mean Field Theory in EM Procedures for Markov Random Fields.
Zhang, W., Yu S. X., & Teng S-H. (2012).  Power SVM: Generalization with Exemplar Classification Uncertainty. 2144-2151.
Zhang, C. Micahel, & Paxson V. (2011).  Detecting and Analyzing Automated Activity on Twitter.
Zhang, Y., Breslau L., Paxson V., & Shenker S. J. (2002).  On the Characteristics and Origins of Internet Flow Rates. Proceedings of the ACM SIGCOMM Conference. 309-322.
Zhang, Y., Paxson V., & Shenker S. J. (2000).  The Stationarity of Internet Path Properties: Routing, Loss, and Throughput.
Zhang, H., & Ferrari D. (1992).  Rate-Controlled Static Priority Queueing.
Zhang, N., Farrell R., & Darrell T. (2012).  Pose Pooling Kernels for Sub-Category Recognition. 3665-3672.

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