Publications

Found 4083 results
[ Author(Desc)] Title Type Year
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Zagordi, O., Töpfer A., Prabhakaran S., Roth V., Halperin E., & Beerenwinkel N. (2012).  Probabilistic Inference of Viral Quasispecies Subject to Recombination. 342-354.
Zaharia, M., Hindman B., Konwinski A., Ghodsi A., Joseph A. D., Katz R. H., et al. (2011).  The Datacenter Needs an Operating System. 1-5.
Zaharia, M., Katti S., Grier C., Paxson V., Shenker S., Stoica I., et al. (2012).  Hypervisors as a Foothold for Personal Computer Security: An Agenda for the Research Community.
Zaharia, M., Borthakur D., Sarma J. Sen, Elmeleegy K., Shenker S., & 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., & Stoica I. (2009).  Job Scheduling for Multi-User MapReduce Clusters.
Zaharia, M., Bolosky W. J., Curtis K., Fox A., Patterson D., Shenker S., et al. (2011).  Faster and More Accurate Sequence Alignment with SNAP.
Zaharia, M., Chowdhury M., Franklin M. J., Shenker S., & Stoica I. (2010).  Spark: Cluster Computing with Working Sets.
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., Das T., Li H., Hunter T., Shenker S., & Stoica I. (2012).  Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing.
Zaharia, M., Das T., Li H., Shenker S., & Stoica I. (2012).  Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. 1-6.
Zaharia, M., Chowdhury M., Das T., Dave A., Ma J., McCauley M., et al. (2012).  Fast and Interactive Analytics Over Hadoop Data with Spark. USENIX ;login:. 34(4), 45-51.
Zaharia, M., Chowdhury M., Franklin M. J., Shenker S., & Stoica I. (2010).  Spark: Cluster Computing with Working Sets. 1-7.
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.
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. (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. (In Press).  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. (In Press).  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, L., Deering S., Estrin D., Shenker S., & Zappala D. (1993).  RSVP: A Resource ReSerVation Protocol. IEEE Network Magazine. 7(5), 8-18.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,

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