Publications

Found 572 results
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Journal Article
Crawford, L.. E., Regier T., & Huttenlocher J.. (2000).  Linguistic and Non-Linguistic Spatial Categorization. Cognition. 75(3), 209-235.
Darken, C., Chang J.., & Moody J. (1992).  Learning Rate Schedules for Faster Stochastic Gradient Search. Neural Networks for Signal Processing.
Castelluccia, C., Duermuth M., & Imamoglu F. (2014).  Learning from Neuroscience to Improve Internet Security. ERCIM News. 99, 46.
Consortium, T. C. A. R. D. IoG. R. A. M. (2011).  Large-scale Association Analysis Identifies 13 New Susceptibility Loci for Coronary Artery Disease. Nature Genetics. 43(4), 333-338.
Yu, D., Hinton G., Morgan N., Chien J-T., & Sagayama S. (2012).  Introduction to the Special Section on Deep Learning for Speech and Language Processing. IEEE Transactions on Audio. 20(1), 4-6.
Wang, J., Geesman G. J., Hostikka S. Liisa, Atallah M., Blackwell B., Lee E., et al. (2011).  Inhibition of Activated Pericentromeric SINE/Alu Repeat Transcription in Senescent Human Adult Stem Cells Reinstates Self-Renewal. Cell Cycle. 10(17), 3016-3030.
Feldman, M., Chuang J., Stoica I., & Shenker S. J. (2007).  Hidden-Action in Network Routing. IEEE Journal on Selected Areas in Communications. 25(6), 1161-1172.
Regier, T., & Carlson L.. (2001).  Grounding Spatial Language in Perception: An Empirical and Computational Investigation. Journal of Experimental Psychology: General. 130(2), 273-298.
Conde, L., Halperin E., Akers N.. K., Brown K. M., Smedby K.. E., & Rothman N.. (2010).  Genome-Wide Association Study of Follicular Lymphoma Identifies a Risk Locus at 6p21.32. Nature Genetics. 42(8), 661-664.
Skibola, C. F., Bracci P. M., Halperin E., Conde L., Craig D. W., Agana L., et al. (2009).  Genetic Variants at 6p21.33 Are Associated with Susceptibility to Follicular Lymphoma. Nature Genetics. 41(8), 873-875.
Skibola, C. F., Bracci P. M., Halperin E., Conde L., Craig D. W., Agana L., et al. (2009).  Genetic Variants at 6p21.33 Are Associated with Susceptibility to Follicular Lymphoma. Nature Genetics. 41(8), 873-875.
Skibola, C. F., Bracci P. M., Halperin E., Conde L., Craig D. W., Agana L., et al. (2009).  Genetic Variants at 6p21.33 Are Associated with Susceptibility to Follicular Lymphoma. Nature Genetics. 41(8), 873-875.
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.
Baran, Y., Pasaniuc B., Sankararaman S., Torgerson D. G., Gignoux C., Eng C., et al. (2012).  Fast and Accurate Inference of Local Ancestry in Latino Populations. Bioinformatics. 28(10), 1359-1367.
Casado, M., Freedman M. J., Pettit J., McKeown N., & Shenker S. J. (2007).  Ethane: Taking Control of the Enterprise. ACM SIGCOMM Computer Communication Review. 37(4), 1-12.
Tejeda, H., Chávez E., Sanchez J. A., & Ruiz P. M. (2006).  Energy-Efficient Routing on the Virtual Spanner. Lecture Notes in Computer Science. 4104,
Levis, P., Brewer E., Culler D. E., Gay D., Madden S., Patel N., et al. (2008).  The Emergence of a Networking Primitive in Wireless Sensor Networks. Communications of the ACM. 51(7), 99-106.
Vallet, D., Hopfgartner F., Jose J. M., & Castells P. (2011).  Effects of Usage Based Feedback on Video Retrieval: A Simulation Based Study. ACM Transactions on Information Systems. 29(2), 
Caesar, M., Casado M., Koponen T., Rexford J., & Shenker S. J. (2010).  Dynamic Route Recomputation Considered Harmful. ACM Computer Communication Review. 40(2), 66-71.
Caesar, M., Casado M., Koponen T., Rexford J., & Shenker S. J. (2010).  Dynamic Route Recomputation Considered Harmful. ACM Computer Communication Review. 40(2), 66-71.
Ben-Dor, A., Chor B., Karp R. M., & Yakhini Z. (2003).  Discovering Local Structure in Gene Expression Data: The Order-Preserving Submatrix Problem. Journal of Computational Biology. 10(3-4), 385-398.
Preuss, M., König I. R., Thompson J. R., Erdmann J., Absher D., Assimes T. L., et al. (2010).  Design of the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) Study--A Genome-Wide Association Meta-Analysis Involving More than 22,000 Cases and 60,000 Controls. Circulation: Cardiovascular Genetics. 3, 475-483.
Preuss, M., König I. R., Thompson J. R., Erdmann J., Absher D., Assimes T. L., et al. (2010).  Design of the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) Study--A Genome-Wide Association Meta-Analysis Involving More than 22,000 Cases and 60,000 Controls. Circulation: Cardiovascular Genetics. 3, 475-483.
Tavakoli, A., Chu D., Hellerstein J. M., Levis P., & Shenker S. J. (2007).  A Declarative Sensornet Architecture. 4(3), 55-60.
Jing, L., Liu B., Choi J., Janin A., Bernd J., Mahoney M., et al. (2017).  DCAR: A Discriminative and Compact Audio Representation for Audio Processing. IEEE Transactions on Multimedia. PP(99), 

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