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Paper
Laboratory modeling of induced microseismicity in the Illinois Basin
Makhnenko, R. Y., Bondarenko, N. B., Kim, K. & Whittaker, S., 2020.Research output: Contribution to conference › Paper › peer-review
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La Folie Tristan on Two Gothic Ivories
Carns, P. M., 2012.Research output: Contribution to conference › Paper › peer-review
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LanczosNet: Multi-scale deep graph convo-lutional networks
Liao, R., Zhao, Z., Urtasun, R. & Zemel, R. S., 2019.Research output: Contribution to conference › Paper › peer-review
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Language model information retrieval with document expansion
Tao, T., Wang, X., Mei, Q. & Zhai, C. X., 2006, p. 407-414. 8 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
Large-area bi-functional nano-mushroom plasmonic sensor for colorimetry and surface-enhanced Raman spectroscopy
Xu, Z., Khan, I., Han, K., Jiang, J. & Liu, G. L., 2014.Research output: Contribution to conference › Paper › peer-review
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Large bursts don't cause instability
Hajek, B., 1995. 1 p.Research output: Contribution to conference › Paper › peer-review
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Large diameter and thin wall laser tube bending
Zhang, W., Jones, M., Graham, M., Farrell, B., Azer, M., Erikson, C., Zhang, J. & Yao, Y. L., 2005, p. 64-73. 10 p.Research output: Contribution to conference › Paper › peer-review
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Large-margin classification in hyperbolic space
Cho, H., DeMeo, B., Peng, J. & Berger, B., 2020.Research output: Contribution to conference › Paper › peer-review
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Large-region dynamic tomographic mapping of environmental noise sources with microphone arrays
Tuna, C., Zhao, S., Nguyen, T. N. T. & Jones, D. L., Aug 21 2016, p. 2838-2846. 9 p.Research output: Contribution to conference › Paper › peer-review
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Large scale computing with the fast Illinois solver code - requirements scaling properties
Song, J. & Chew, W. C., 1998, p. 420-427. 8 p.Research output: Contribution to conference › Paper › peer-review
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Large scale microdischarge arrays: Fabrication and characterization
Park, S. J., Chen, J., Liu, C. & Eden, J. G., 2001, p. 177-178. 2 p.Research output: Contribution to conference › Paper › peer-review
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Large-scale structures in supersonic reattaching shear flows
Smith, K. M. & Dutton, J. C., 1995, p. 1-18. 18 p.Research output: Contribution to conference › Paper › peer-review
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Large structure convection velocity measurements in compressible transverse injection flowfields
Gruber, M. R., Ghen, T. H., Nejad, A. S. & Dutton, J. C., 1996.Research output: Contribution to conference › Paper › peer-review
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Laser-induced fluorescence detection of no in high-pressure flames with A-X(0,0), (0,1), and (0,2) excitation
Lee, T., Shin, D. I., Jeffries, J. B., Hanson, R. K., Bessler, W. G. & Schulz, C., 2002.Research output: Contribution to conference › Paper › peer-review
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Laser-induced fluorescence measurements of scalar transport in compressible mixing layers
Messersmith, N. L. & Dutton, J. C., 1992.Research output: Contribution to conference › Paper › peer-review
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Laser-induced perturbation effects in high-resolution N2 CARS spectra
Woodmansee, M. A., Lucht, R. P. & Button, J. C., 2001.Research output: Contribution to conference › Paper › peer-review
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Laser net shape manufacturing of metallic materials with CO2 and fiber laser
Li, Y., Huang, X., Liu, Y., Peng, H. & Azer, M., 2005, p. 320-325. 6 p.Research output: Contribution to conference › Paper › peer-review
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Laser propulsion 10 kW thruster test program results
Black, J., Krier, H. & Glumb, R. J., 1992.Research output: Contribution to conference › Paper › peer-review
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Laser-recoil response of AP-HTPB propellants (1-5 atm): Selective pyrolysis response
Hickman, S. R. & Brewster, M. Q., 1999.Research output: Contribution to conference › Paper › peer-review
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Laser shock peening plasma diagnostics sensors for real-time process monitoring
Benicewicz, P., Azer, M., Deaton, J., Wu, P. & Rockstroh, T., 2005, p. 844-850. 7 p.Research output: Contribution to conference › Paper › peer-review
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Laser-sustained argon plasmas, for thermal rocket propulsion
Zerkle, D. K., Schwartz, S., Mertogul, A., Chen, X., Krier, H. & Mazurnder, J., 1998.Research output: Contribution to conference › Paper › peer-review
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Laser sustained argon plasmas in non-lte for beamed energy propulsion
Zerkle, D. K., Mertogul, A. E., Krier, H. & Mazumder, J., 1991.Research output: Contribution to conference › Paper › peer-review
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Last glacial loess deposition in central Illinois abruptly slows at ca. 18,750 cal yr BP in response to the Kankakee Torrent
Curry, B. B., Wang, H., Lowell, T. V., Bates, B., Norris, N. & Conroy, J. L., 2018, p. Paper-No.25-4.Research output: Contribution to conference › Paper › peer-review
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Latin American and Caribbean Studies at the University of Illinois at Urbana-Champaign Library
Carns, P. M., Mar 2009.Research output: Contribution to conference › Paper › peer-review
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Layered peer-to-peer streaming
Cui, Y. & Nahrstedt, K., 2003, p. 162-171. 10 p.Research output: Contribution to conference › Paper › peer-review
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Layout tools for analog ICs and mixed-signal SoCs: A survey
Rutenbar, R. A. & Cohn, J. M., 2000, p. 76-83. 8 p.Research output: Contribution to conference › Paper › peer-review
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Lead at the Unidata Workshop: Demonstrating democratization of NWP capabilities
Baltzer, T., Wilson, A., Ramamurthy, M., Marru, S., Christie, M., Gannon, D., Rossi, A., Hampton, S., Alameda, J. & Droegemeier, K., 2007.Research output: Contribution to conference › Paper › peer-review
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Leading in the Age of BIM and IPD
Deutsch, R., 2013.Research output: Contribution to conference › Paper
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Leading in the Age of Integrated Design
Deutsch, R., 2013.Research output: Contribution to conference › Paper › peer-review
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Lead learning communities
Yalda, S., Clark, R., Joseph, E., Alameda, J., Baltzer, T., Droegemeier, K., Bender, D. & Yarnell, W., 2005, p. 1297-1299. 3 p.Research output: Contribution to conference › Paper › peer-review
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Lead learning communities
Yalda, S., Clark, R., Joseph, E., Alameda, J., Baltzer, T., Droegemeier, K., Bender, D. & Yarnell, W., 2005, p. 3323-3325. 3 p.Research output: Contribution to conference › Paper › peer-review
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Leaky mode vertical-cavity lasers using cavity resonance modification
Choquette, K. D., Hadley, G. R., Hou, H. Q., Geib, K. M. & Hammons, B. E., 1998. 1 p.Research output: Contribution to conference › Paper › peer-review
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Learner affect through the looking glass: Characterization and detection of confusion in online courses
Zeng, Z., Chaturvedi, S. & Bhat, S., 2017, p. 272-277. 6 p.Research output: Contribution to conference › Paper › peer-review
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Learning auto-structured regressor from uncertain nonnegative labels
Yan, S., Wang, H., Tang, X. & Huang, T. S., 2007.Research output: Contribution to conference › Paper › peer-review
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Learning belief representations for imitation learning in POMDPs
Gangwani, T., Lehman, J., Liu, Q. & Peng, J., 2019.Research output: Contribution to conference › Paper › peer-review
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Learning deep structured models
Chen, L. C., Schwing, A. G., Yuille, A. L. & Urtasun, R., 2015.Research output: Contribution to conference › Paper › peer-review
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Learning Design from Emergent Co-Design: Observed Practices and Future Directions
Floyd, I. R. & Twidale, M., 2009.Research output: Contribution to conference › Paper › peer-review
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Learning exploration policies for navigation
Chen, T., Gupta, S. & Gupta, A., 2019.Research output: Contribution to conference › Paper › peer-review
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Learning from and with each other: Experiences in a professional development community of music teacher educators
Sweet, B. M., Reese, J., Kastner, J. D., Pellegrino, K. & Russell, H. A., Sep 16 2011.Research output: Contribution to conference › Paper › peer-review
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Learning from conditional distributions via dual embeddings
Dai, B., He, N., Pan, Y., Boots, B. & Song, L., 2017.Research output: Contribution to conference › Paper › peer-review
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Learning from Different Styles of Animated Solutions Among Low-Performing Students
Mestre, J. P., Morphew, J. W. & Gladding, G., Dec 18 2015, p. 223-226.Research output: Contribution to conference › Paper › peer-review
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Learning from early attempts to measure information security performance
Zhang, J., Berthier, R., Rhee, W., Bailey, M., Pal, P., Jahanian, F. & Sanders, W. H., 2012.Research output: Contribution to conference › Paper › peer-review
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Learning not to share
Liu, J. & Nicol, D., 2001, p. 46-55. 10 p.Research output: Contribution to conference › Paper › peer-review
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Learning one-hidden-layer neural networks under general input distributions
Gao, W., Makkuva, A. V., Oh, S. & Viswanath, P., 2020.Research output: Contribution to conference › Paper › peer-review
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Learning optimal seller strategies with intelligent agents: Application of evolutionary and reinforcement learning
Sikora, R. T. & Sachdev, V., 2005, p. 75-80. 6 p.Research output: Contribution to conference › Paper › peer-review
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Learning robust representations by projecting superficial statistics out
Wang, H., Xing, E. P., He, Z. & Lipton, Z. C., 2019.Research output: Contribution to conference › Paper › peer-review
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Learning self-imitating diverse policies
Gangwani, T., Liu, Q. & Peng, J., 2019.Research output: Contribution to conference › Paper › peer-review
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Learning semantic constraints for the automatic discovery of part-whole relations
Girju, R., Badulescu, A. & Moldovan, D., 2003.Research output: Contribution to conference › Paper › peer-review
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Learning stochastic object model from noisy imaging measurements using AmbientGANs
Zhou, W., Bhadra, S., Brooks, F. & Anastasio, M. A., Mar 4 2019, p. 21.Research output: Contribution to conference › Paper › peer-review
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Learning the Hotelling observer for SKE detection tasks by use of supervised learning methods
Zhou, W., Li, H. & Anastasio, M. A., Mar 4 2019, p. 7.Research output: Contribution to conference › Paper › peer-review