Publications

Found 4258 results
Author [ Title(Asc)] Type Year
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P
P. Godfrey, B., & Karp R. M. (2009).  On the Price of Heterogeneity in Parallel Systems. Theory of Computing Systems. 45(2), 280-301.
Han, C., Reyes I., Feal Á., Reardon J., Wijesekera P., Vallina-Rodriguez N., et al. (2020).  The Price is (Not) Right: Comparing Privacy in Free and Paid Apps. 2020(3), 222-242.
Moody, J., & Wu L. (1995).  Price Behavior and Hurst Exponents of Tick-By-Tick Interbank Foreign Exchange Rates. Proceedings of Computational Intelligence in Financial Engineering (IEEE IAFE 1995).
Padhukasahasram, B.., Halperin E., Wessel J.., Thomas D.. J., Silver E.., Trumbower H.., et al. (2010).  Presymptomatic Risk Assessment for Chronic Non-Communicable Diseases. PLoS ONE. 5,
Arianfar, S., Koponen T., Raghavan B., & Shenker S. J. (2011).  On Preserving Privacy in Information-Centric Networks. 19-24.
Hu, X., Gupta A., Feamster N., Panda A., & Shenker S. J. (2018).  Preserving Privacy at IXPs. Proceedings of the 2nd Asia-Pacific Workshop on Networking APNet '18.
Bergen, B. K., & Chang N. (2000).  Prepositional semantics in embodied construction grammar.
Regier, T. (1994).  A Preliminary Study of the Semantics of Reduplication.
Weaver, N., Hamadeh I.., Kesidis G.., & Paxson V. (2004).  Preliminary Results Using ScaleDown to Explore Worm Dynamics. Proceedings of the ACM Workshop on Rapid Malcode (WORM 2004).
Nechaev, B., Allman M., Paxson V., & Gurtov A. (2010).  A Preliminary Analysis of TCP Performance in an Enterprise Network.
Frederickson, G. N., & Guan D.. J. (1989).  Preemptive Ensemble Motion Planning on a Tree.
Ellis, D. P. W. (1996).  Prediction-driven Computational Auditory Scene Analysis for Dense Sound Mixtures. Proceedings of the ESCA Workshop on the "Auditory Basis of Speech Perception".
Moody, J. (1994).  Prediction Risk and Neural Network Architecture Selection.
Yosef, N.., Gramm J., Wang Q.-F.., Noble W.. S., Karp R. M., & Sharan R. (2010).  Prediction of Phenotype Information from Genotype Data. Communications in Information and Systems. 10(2), 99-114.
Moody, J., Levin A.., & Rehfuss S. (1993).  Predicting the U.S. Index of Industrial Production. Proceedings of Parallel Applications in Statistics and Economics '93. 3(6), 791-794.
Dreger, H., Feldmann A., Paxson V., & Sommer R. (2008).  Predicting the Resource Consumption of Network Intrusion Detection Systems. 135-154.
Krause, M., & Kulkarni A. (2015).  Predicting Sales E-Mail Responders using a Natural Language Model. Communications of the ACM. 38(11), 39-41.
Egelman, S., & Peer E. (2015).  Predicting Privacy and Security Attitudes. Computers and Society: The Newsletter of ACM SIGCAS. 45(1), 22-28.
Tresp, V., Briegel T., & Moody J. (1999).  Predicting Blood Glucose Metabolism in Diabetics -- A Machine Learning Solution.
Hao, S., Kantchelian A., Miller B., Paxson V., & Feamster N. (2016).  PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration. Proceedings of ACM CCS.
Stolcke, A., & Segal J. (1994).  Precise n-gram Probabilities from Stochastic Context-free Grammars.
Martin, E., Vinyals O., Friedland G., & Bajcsy R.. (2010).  Precise Indoor Localization Using Smart Phones. 787-790.
Reischuk, R. (1993).  Precise Average Case Complexity Measures.
Petruck, M. R. L., & de Melo G. (2012).  Precedes: A Semantic Relation in FrameNet. 45-49.
Lee-Goldman, R., Ruppenhofer J., Ellsworth M., & Baker C. F. (2009).  Pragmatic Factors in Null Instantiation: Beyond Definiteness and Genre.

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