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10763 Publications
2011 | Published | Journal Article | IST-REx-ID: 6298 |

N. S. Baranova et al., “The inflammation-associated protein TSG-6 cross-links hyaluronan via hyaluronan-induced TSG-6 oligomers,” Journal of Biological Chemistry, vol. 286, no. 29. American Society for Biochemistry & Molecular Biology, pp. 25675–25686, 2011.
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2011 | Published | Journal Article | IST-REx-ID: 6496 |

H. Park, P. Oikonomou, C. C. Guet, and P. Cluzel, “Noise underlies switching behavior of the bacterial flagellum,” Biophysical Journal, vol. 101, no. 10. Elsevier, pp. 2336–2340, 2011.
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| PubMed | Europe PMC
2011 | Published | Journal Article | IST-REx-ID: 6749 |

M. Mondelli and A. Ciomaga, “Finite difference schemes for MCM and AMSS,” Image Processing On Line, vol. 1. IPOL Image Processing On Line, pp. 127–177, 2011.
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2011 | Published | Journal Article | IST-REx-ID: 7077
J. Capps et al., “The effect of Ag concentration on the structural, electrical and thermal transport behavior of Pb:Te:Ag:Se mixtures and improvement of thermoelectric performance via Cu doping,” Journal of Alloys and Compounds, vol. 509, no. 5. Elsevier, pp. 1544–1549, 2011.
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2011 | Published | Journal Article | IST-REx-ID: 7313
P. G. Bruce, S. A. Freunberger, L. J. Hardwick, and J.-M. Tarascon, “Li–O2 and Li–S batteries with high energy storage,” Nature Materials, vol. 11, no. 1. Springer Nature, pp. 19–29, 2011.
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2011 | Published | Conference Paper | IST-REx-ID: 3204
V. Kolmogorov, “Submodularity on a tree: Unifying Submodularity on a tree: Unifying L-convex and bisubmodular functions convex and bisubmodular functions,” presented at the MFCS: Mathematical Foundations of Computer Science, 2011, vol. 6907, pp. 400–411.
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2011 | Published | Conference Paper | IST-REx-ID: 3205
D. Tarlow, D. Batra, P. Kohli, and V. Kolmogorov, “Dynamic tree block coordinate ascent,” presented at the ICML: International Conference on Machine Learning, 2011, pp. 113–120.
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2011 | Published | Conference Paper | IST-REx-ID: 3206
A. Osokin, D. Vetrov, and V. Kolmogorov, “Submodular decomposition framework for inference in associative Markov networks with global constraints,” presented at the CVPR: Computer Vision and Pattern Recognition, 2011, pp. 1889–1896.
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