Find Research outputs

Search results

• 2021

  Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis

  Hu, C., Anjur, V., Saboo, K., Reddy, K. R., OʼLeary, J., Tandon, P., Wong, F., Garcia-Tsao, G., Kamath, P. S., Lai, J. C., Biggins, S. W., Fallon, M. B., Thuluvath, P., Subramanian, R. M., Maliakkal, B., Vargas, H., Thacker, L. R., Iyer, R. K. & Bajaj, J. S., Feb 1 2021, In: American Journal of Gastroenterology. 116, 2, p. 336-346 11 p.

  Research output: Contribution to journal › Article › peer-review

• Low-temperature breakdown of many-body perturbation theory for thermodynamics

  Hirata, S., Jan 2021, In: Physical Review A. 103, 1, 012223.

  Research output: Contribution to journal › Article › peer-review

• Low-threshold InP quantum dot and InGaP quantum well visible lasers on silicon (001)

  Dhingra, P., Su, P., Li, B. D., Hool, R. D., Muhowski, A. J., Kim, M., Wasserman, D., Dallesasse, J. & Lee, M. L., Nov 2021, In: Optica. 8, 11, p. 1495-1500 6 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies

  Roberts, D., Danielyan, A., Chu, H., Golparvar-Fard, M. & Forsyth, D., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 5816-5825 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Lubricant-Infused Surfaces for Low-Surface-Tension Fluids: The Extent of Lubricant Miscibility

  Sett, S., Oh, J., Cha, H., Veriotti, T., Bruno, A., Yan, X., Barac, G., Bolton, L. W. & Miljkovic, N., May 19 2021, In: ACS Applied Materials and Interfaces. 13, 19, p. 23121-23133 13 p.

  Research output: Contribution to journal › Article › peer-review

• Lumbar Disc Herniation Automatic Detection in Magnetic Resonance Imaging Based on Deep Learning

  Tsai, J. Y., Hung, I. Y. J., Guo, Y. L., Jan, Y. K., Lin, C. Y., Shih, T. T. F., Chen, B. B. & Lung, C. W., Aug 19 2021, In: Frontiers in Bioengineering and Biotechnology. 9, 708137.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Lumbar spine surgery and what we lost in the era of the coronavirus pandemic: A survey of the Lumbar Spine Research Society

  Arnold, P. M., Owens, L., Heary, R. F., Webb, A. G., Whiting, M. D., Vaccaro, A. R., Iyer, R. K. & Harrop, J. S., Dec 2021, In: Clinical spine surgery. 34, 10, p. E575-E579

  Research output: Contribution to journal › Review article › peer-review

• Luminescence dating of quaternary marine terraces from the coastal part of eastern black sea and their tectonic implications for the eastern pontides, turkey

  Softa, M., Spencer, J. Q. G., Sözbilir, H., Huot, S. & Emre, T., 2021, In: Turkish Journal of Earth Sciences. 30, 3, p. 359-378 20 p.

  Research output: Contribution to journal › Article › peer-review

• Lung epithelial and endothelial damage, loss of tissue repair, inhibition of fibrinolysis, and cellular senescence in fatal COVID-19

  D'Agnillo, F., Walters, K. A., Xiao, Y., Sheng, Z. M., Scherler, K., Park, J., Gygli, S., Rosas, L. A., Sadtler, K., Kalish, H., Blatti, C. A., Zhu, R., Gatzke, L., Bushell, C., Memoli, M. J., O'Day, S. J., Fischer, T. D., Hammond, T. C., Lee, R. C., Cash, J. C., & 8 othersPowers, M. E., O'Keefe, G. E., Butnor, K. J., Rapkiewicz, A. V., Travis, W. D., Layne, S. P., Kash, J. C. & Taubenberger, J. K., Nov 17 2021, In: Science Translational Medicine. 13, 620, abj7790.

  Research output: Contribution to journal › Article › peer-review

• Lycopene: A Critical Review of Digestion, Absorption, Metabolism, and Excretion

  Arballo, J., Amengual Terrasa, J. & Erdman, J. W., Feb 25 2021, In: Antioxidants. 10, 3, p. 1-16 16 p., 342.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

• Lymphoma in Psittacine Birds: A Histological and Immunohistochemical Assessment

  Gibson, D. J., Nemeth, N. M., Beaufrère, H., Varga, C., Garner, M. M. & Susta, L., Jul 2021, In: Veterinary pathology. 58, 4, p. 663-673 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Lyrics provide a small benefit for singing accuracy

  Soleimanifar, S., Staisloff, H. E. & Aronoff, J. M., 2021, In: Proceedings of Meetings on Acoustics. 45, 1, 035001.

  Research output: Contribution to journal › Conference article › peer-review

• Lysobacter enzymogenes strain C3 suppresses mycelium growth and spore germination of eight soybean fungal and oomycete pathogens and decreases disease incidences

  Nian, J., Yu, M., Bradley, C. A. & Zhao, Y., Jan 2021, In: Biological Control. 152, 104424.

  Research output: Contribution to journal › Article › peer-review

• Macdonald Operators and Quantum Q-Systems for Classical Types

  Francesco, P. D. & Kedem, R., 2021, Progress in Mathematics. Birkhäuser, p. 163-199 37 p. (Progress in Mathematics; vol. 340).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Mach Fronts in Random Media with Fractal and Hurst Effects

  Ran, J., Ostoja-Starzewski, M. & Povstenko, Y., Dec 2021, In: Fractal and Fractional. 5, 4, 229.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machine Learning/Artificial Intelligence for Sensor Data Fusion-Opportunities and Challenges

  Blasch, E., Pham, T., Chong, C. Y., Koch, W., Leung, H., Braines, D. & Abdelzaher, T., Jul 1 2021, In: IEEE Aerospace and Electronic Systems Magazine. 36, 7, p. 80-93 14 p., 9475913.

  Research output: Contribution to journal › Article › peer-review

• Machine learning analysis of 2×1 VCSEL array coherence and imaginary coupling coefficient

  Strzebonski, P., North, W., Jahan, N. & Choquette, K. D., 2021, CLEO: QELS_Fundamental Science, CLEO: QELS 2021. The Optical Society, JTu3A.110. (Optics InfoBase Conference Papers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine Learning Analysis of 2×1 VCSEL Array Coherence and Imaginary Coupling Coefficient

  Strzebonski, P., North, W., Jahan, N. & Choquette, K. D., May 2021, 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine learning and price-based load scheduling for an optimal IoT control in the smart and frugal home

  Kaur, R., Schaye, C., Thompson, K., Yee, D. C., Zilz, R., Sreenivas, R. S. & Sowers, R. B., Mar 2021, In: Energy and AI. 3, 100042.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machine learning applications for therapeutic tasks with genomics data

  Huang, K., Xiao, C., Glass, L. M., Critchlow, C. W., Gibson, G. & Sun, J., Oct 8 2021, In: Patterns. 2, 10, 100328.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

• Machine learning application to single channel design of molten salt reactor

  Turkmen, M., Chee, G. J. Y. & Huff, K. D., Oct 2021, In: Annals of Nuclear Energy. 161, 108409.

  Research output: Contribution to journal › Article › peer-review

• Machine learning assisted quantum super-resolution microscopy

  Kudyshev, Z. A., Sychev, D., Martin, Z., Bogdanov, S., Xu, X., Kildishev, A. V., Boltasseva, A. & Shalaev, V. M., 2021, CLEO: QELS_Fundamental Science, CLEO: QELS 2021. The Optical Society, JTh4C.5. (Optics InfoBase Conference Papers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine learning assisted quantum super-resolution microscopy

  Kudyshev, Z. A., Sychev, D., Martin, Z., Bogdanov, S., Xu, X., Kildishev, A. V., Boltasseva, A. & Shalaev, V. M., May 2021, 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt

  Xu, T., Guan, K., Peng, B., Wei, S. & Zhao, L., May 28 2021, In: Frontiers in Artificial Intelligence. 4, 647999.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machine learning based quantification of fuel-air equivalence ratio and pressure from laser-induced plasma spectroscopy

  Lee, J., McGann, B., Hammack, S. D., Carter, C., Lee, T., Do, H. & Bak, M. S., Jun 7 2021, In: Optics Express. 29, 12, p. 17902-17914 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machine Learning-Based Risk Analysis for Construction Worker Safety from Ubiquitous Site Photos and Videos

  Tang, S. & Golparvar-Fard, M., Nov 1 2021, In: Journal of Computing in Civil Engineering. 35, 6, 04021020.

  Research output: Contribution to journal › Article › peer-review

• Machine Learning-Enabled High-Resolution Dynamic Deuterium MR Spectroscopic Imaging

  Li, Y., Zhao, Y., Guo, R., Wang, T., Zhang, Y., Chrostek, M., Low, W. C., Zhu, X. H., Liang, Z. P. & Chen, W., Dec 1 2021, In: IEEE transactions on medical imaging. 40, 12, p. 3879-3890 12 p.

  Research output: Contribution to journal › Article › peer-review

• Machine learning-enabled non-destructive paper chromogenic array detection of multiplexed viable pathogens on food

  Yang, M., Liu, X., Luo, Y., Pearlstein, A. J., Wang, S., Dillow, H., Reed, K., Jia, Z., Sharma, A., Zhou, B., Pearlstein, D., Yu, H. & Zhang, B., Feb 2021, In: Nature Food. 2, 2, p. 110-117 8 p.

  Research output: Contribution to journal › Article › peer-review

• Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

  Ferguson, J. N., Fernandes, S. B., Monier, B., Miller, N. D., Allen, D., Dmitrieva, A., Schmuker, P., Lozano, R., Valluru, R., Buckler, E. S., Gore, M. A., Brown, P. J., Spalding, E. P. & Leakey, A. D. B., Nov 2021, In: Plant physiology. 187, 3, p. 1481-1500 20 p., kiab346.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machine Learning for Consumers and Markets

  Wang, W., Zhao, H., Lee, D. D. & Chen, G. H., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4165-4166 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine learning for hydrologic sciences: An introductory overview

  Xu, T. & Liang, F., Sep 1 2021, In: Wiley Interdisciplinary Reviews: Water. 8, 5, e1533.

  Research output: Contribution to journal › Review article › peer-review

• Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

  Zhu, Q., Liu, Z. & Yan, J., Feb 2021, In: Computational Mechanics. 67, 2, p. 619-635 17 p.

  Research output: Contribution to journal › Article › peer-review

• Machine learning for occupant-behavior-sensitive cooling energy consumption prediction in office buildings

  Amasyali, K. & El-Gohary, N., May 2021, In: Renewable and Sustainable Energy Reviews. 142, 110714.

  Research output: Contribution to journal › Article › peer-review

• Machine learning for searching the dark energy survey for trans-neptunian objects

  DES Collaboration, Jan 2021, In: Publications of the Astronomical Society of the Pacific. 133, 1019, p. 1-14 14 p., 014501.

  Research output: Contribution to journal › Article › peer-review

• Machine Learning for Soil Moisture Prediction Using Hyperspectral and Multispectral Data

  Lobato, M., Norris, W. R., Nagi, R., Soylemezoglu, A. & Nottage, D., 2021, Proceedings of 2021 IEEE 24th International Conference on Information Fusion, FUSION 2021. Institute of Electrical and Electronics Engineers Inc., (Proceedings of 2021 IEEE 24th International Conference on Information Fusion, FUSION 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine learning in agricultural economics

  Baylis, K., Heckelei, T. & Storm, H., Jan 2021, Handbook of Agricultural Economics. Barrett, C. B. (ed.). Elsevier B.V., p. 4551-4612 62 p. (Handbook of Agricultural Economics; vol. 5).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Machine Learning in Model-free Mechanical Property Imaging: Novel Integration of Physics With the Constrained Optimization Process

  Hoerig, C., Ghaboussi, J., Wang, Y. & Insana, M. F., Jul 30 2021, In: Frontiers in Physics. 9, 600718.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

• Machine Learning Methods for Estimating Propeller Source Noise Spheres

  Patterson, A., Hovakimyan, N., Pascioni, K. A. & Gregory, I., 2021, AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021. American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA 2021-2177. (AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine Learning Neural-Network Predictions for Grain-Boundary Strain Accumulation in a Polycrystalline Metal

  Vieira, R. B. & Lambros, J., Apr 2021, In: Experimental Mechanics. 61, 4, p. 627-639 13 p.

  Research output: Contribution to journal › Article › peer-review

• Machine Learning Reveals the Critical Interactions for SARS-CoV-2 Spike Protein Binding to ACE2

  Pavlova, A., Zhang, Z., Acharya, A., Lynch, D. L., Pang, Y. T., Mou, Z., Parks, J. M., Chipot, C. & Gumbart, J. C., Jun 17 2021, In: The journal of physical chemistry letters. 12, 23, p. 5494-5502 9 p.

  Research output: Contribution to journal › Article › peer-review

• Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands

  López-Tapia, S., Ruiz, P., Smith, M., Matthews, J., Zercher, B., Sydorenko, L., Varia, N., Jin, Y., Wang, M., Dunn, J. B. & Katsaggelos, A. K., Dec 25 2021, In: International Journal of Applied Earth Observation and Geoinformation. 105, 102581.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machine Vision Approach to Assessing Postharvest Quality of Cucumbers During Storage

  Sarker, A. & Grift, T. E., 2021, American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021. American Society of Agricultural and Biological Engineers, p. 2270-2279 10 p. (American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021; vol. 4).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Macro-Appraisal

  Anderson, B. G., Oct 2021, The Handbook of Archival Practice. Franks, P. C. (ed.). Rowman & Littlefield

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• macroMS: Image-Guided Analysis of Random Objects by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

  Choe, K., Xue, P., Zhao, H. & Sweedler, J. V., May 5 2021, In: Journal of the American Society for Mass Spectrometry. 32, 5, p. 1180-1188 9 p.

  Research output: Contribution to journal › Article › peer-review

• Macroscopic characteristics of flash-boiling spray focused on plume interaction

  Liu, W., Lu, Y., Kang, Y., Yan, J. & Lee, C. F., May 2021, In: International Journal of Heat and Mass Transfer. 170, 120999.

  Research output: Contribution to journal › Article › peer-review

• Macular Xanthophylls and Markers of the Anterior Visual Pathway among Persons with Multiple Sclerosis

  Cerna, J., Anaraki, N. S. A., Robbs, C. M., Adamson, B. C., Flemming, I. R., Erdman, J. W., Labriola, L. T., Motl, R. W. & Khan, N. A., Sep 1 2021, In: The Journal of nutrition. 151, 9, p. 2680-2688 9 p.

  Research output: Contribution to journal › Article › peer-review

• Magnetic-field measurement and analysis for the Muon g-2 Experiment at Fermilab

  The Muon g-2 Collaboration, Apr 2021, In: Physical Review A. 103, 4, 042208.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Magnetic Nanoplatforms for Covalent Protein Immobilization Based on Spy Chemistry

  Jin, X., Ye, Q., Wang, C. W., Wu, Y., Ma, K., Yu, S., Wei, N. & Gao, H., Sep 22 2021, In: ACS Applied Materials and Interfaces. 13, 37, p. 44147-44156 10 p.

  Research output: Contribution to journal › Article › peer-review

• Magnetic resonance imaging findings and antemortem cytologic diagnosis of intramedullary spinal cord ependymoma in a dog

  Gibson, A. M., Rosser, M. F., de Oliveira, C. R., Lampe, R., Pfeiff, J. M., Roady, P. & Foss, K. D., Dec 1 2021, In: Journal of the American Veterinary Medical Association. 259, 12, p. 1446-1451 6 p.

  Research output: Contribution to journal › Article › peer-review

• Magnetic topological quantum chemistry

  Elcoro, L., Wieder, B. J., Song, Z., Xu, Y., Bradlyn, B. & Bernevig, B. A., Dec 2021, In: Nature communications. 12, 1, 5965.

  Research output: Contribution to journal › Article › peer-review

  Open Access