Publications

Found 519 results
[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is F  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
F
Friedrich, T., He J., Hebbinghaus N., Neumann F., & Witt C. (2010).  Approximating Covering Problems by Randomized Search Heuristics using Multi-Objective Models. Evolutionary Computation. 18(4), 617-633.
Friedrich, T., & Hebbinghaus N. (2008).  Average Update Times for Fully-Dynamic All-Pairs Shortest Paths. 693-704.
Friedrich, T., & Sauerwald T. (2009).  Near-Perfect Load Balancing by Randomized Rounding. 121-130.
Friedrich, T., Gairing M., & Sauerwald T. (2010).  Quasirandom Load Balancing. 1620-1629.
Friedrich, T., Sauerwald T., & Vilenchik D. (2009).  Smoothed Analysis of Balancing Networks. 472-483.
Friedrich, T., Oliveto P.. S., Sudholt D., & Witt C. (2009).  Analysis of Diversity-Preserving Mechanisms for Global Exploration. Evolutionary Computation. 17(4), 455-476.
Friedrich, T., & Neumann F. (2010).  When to Use Bit-Wise Neutrality. Natural Computing. 9(1), 283-294.
Friedrich, T., Hebbinghaus N., & Neumann F. (2010).  Plateaus Can Be Harder in Multi-Objective Optimization. Theoretical Computer Science. 411(6), 854-864.
Friedrich, T., Horoba C., & Neumann F. (2009).  Multiplicative Approximations and the Hypervolume Indicator. 571-578.
Friedman, E., Psomas C-A., & Vardi S. (2015).  Pareto Optimal Dynamic Fair Division with Minimal Disruptions.
Friedman, E. J., Gkatzelis V., Psomas C-A., & Shenker S. J. (2019).  Fair and Efficient Memory Sharing: Confronting Free Riders. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence.
Friedman, E., Landsberg A. S., Owen J. P., Li Y-O., & Mukherjee P. (2014).  Stochastic Geometric Network Models for Groups of Functional and Structural Connectomes. NeuroImage. 101,
Friedman, E., Racz M. Z., & Shenker S. J. (2015).  Dynamic Budget-Constrained Pricing in the Cloud.
Friedman, E., Landsberg A. S., Owen J., Hsieh W., Kam L., & Mukherjee P. (2016).  Edge correlations in spatial networks. Journal of Complex Networks. 1-14.
Friedman, E. (2012).  Asymmetric Cost Sharing Mechanisms. Games and Economic Behavior. 75(1), 139-151.
Friedman, E., Young K., Asif D., Jutla I., Liang M., Wilson S., et al. (2014).  Directed Progression Brain Networks in Alzheimer's Disease: Properties and Classification. Brain Connectivity. 4(5), 384-393.
Friedman, E., Shor M.., Shenker S. J., & Sopher B.. (2004).  An Experiment on Learning with Limited Information: Nonconvergence, Experimentation Cascades, and the Advantage of Being Slow. Games and Economic Behavior. 47(2), 325-352.
Friedman, E., Ghodsi A., & Psomas C-A. (2014).  Strategyproof Allocation of Discrete Jobs on Multiple Machines. 529-546.
Friedman, E., Young K., Tremper G., Liang J., Landsberg A. S., & Schuff N. (2015).  Directed Network Motifs in Alzheimer’s Disease and Mild Cognitive Impairment. PLoS ONE.
Friedland, G., Hung H., & Yeo C. (2008).  Multi-Modal Speaker Diarization of Real-World Meetings Using Compressed-Domain Video Features.
Friedland, G. (2007).  Computers and Commerce: A Study of Technology and Management at Eckert-Mauchly Computer Company, Engineering Research Associates, and Remington Rand, 1946-1957 (book review). IEEE Annals of the History of Computing. 29(2), 74-77.
Friedland, G., & Valente F. (2012).  Speaker Diarization.
Friedland, G., & Choi J. (2012).  Semantic Computing and Privacy: A Case Study Using Inferred Geo-Location.
Friedland, G., Gottlieb L., & Janin A. (2010).  Narrative-Theme Navigation for Sitcoms Supported by Fan-Generated Scripts. 3-8.
Friedland, G., & Choi J. (2011).  Semantic Computing and Privacy: A Case Study Using Inferred Geo-Location. International Journal of Semantic Computing. 5(1), 79-93.

Pages