Publications

Found 4228 results
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Zaharia, M., Borthakur D., Sarma J. Sen, Elmeleegy K., Shenker S. J., & Stoica I. (2010).  Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling. 265-278.
Zaharia, M., Chowdhury M., Das T., Dave A., Ma J., McCauley M., et al. (2011).  Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing.
Zaharia, M., Chowdhury M., Das T., Dave A., Ma J., McCauley M., et al. (2012).  Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. 1-14.
Zaharia, M., Borthakur D., Sarma J. Sen, Elmeleegy K., Shenker S. J., & Stoica I. (2009).  Job Scheduling for Multi-User MapReduce Clusters.
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.
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.
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., 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.
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., 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.
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.
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, 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, H., & Ferrari D. (1992).  Rate-Controlled Static Priority Queueing.
Zhang, W., Fang V., Panda A., & Shenker S. J. (2020).  Kappa: a programming framework for serverless computing. SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing. 328-343.
Zhang, H., & Knightly E. W. (1994).  Comparison of Rate-Controlled Static Priority and Stop-and-Go.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Zhang, N., Donahue J., Girshick R., & Darrell T. (2014).  Part-Based R-CNNs for Fine-Grained Category Detection.
Zhang, M., Karp B., Floyd S., & Peterson L. (2002).  Improving TCP's Performance Under Reordering with DSACK.
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, 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, J., & Morgan N. (1990).  Stochastic Model-Based Image Segmentation Using Markov Random Fields and Multi-Layer Perceptrons.

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