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3471 Publications


2014 | Conference Paper | IST-REx-ID: 2157 | OA
Matoušek J, Sedgwick E, Tancer M, Wagner U. Embeddability in the 3 sphere is decidable. In: Proceedings of the Annual Symposium on Computational Geometry. ACM; 2014:78-84. doi:10.1145/2582112.2582137
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2014 | Journal Article | IST-REx-ID: 2158 | OA
Majumdar R, Sixt MK, Parent C. New paradigms in the establishment and maintenance of gradients during directed cell migration. Current Opinion in Cell Biology. 2014;30(1):33-40. doi:10.1016/j.ceb.2014.05.010
View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 

2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina A, Lampert C. A PAC-Bayesian bound for Lifelong Learning. In: Xing E, Jebara T, eds. Vol 32. Omnipress; 2014:991-999.
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2014 | Conference Paper | IST-REx-ID: 2162 | OA
Chatterjee K, Ibsen-Jensen R. The complexity of ergodic mean payoff games. In: Vol 8573. Springer; 2014:122-133. doi:10.1007/978-3-662-43951-7_11
View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2014 | Conference Paper | IST-REx-ID: 2163 | OA
Chatterjee K, Doyen L. Games with a weak adversary. In: Lecture Notes in Computer Science. Vol 8573. Springer; 2014:110-121. doi:10.1007/978-3-662-43951-7_10
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2014 | Journal Article | IST-REx-ID: 2165 | OA
Morvant E. Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters. 2014;51:37-43. doi:10.1016/j.patrec.2014.08.013
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2014 | Conference Paper | IST-REx-ID: 2167 | OA
Daca P, Henzinger TA, Krenn W, Nickovic D. Compositional specifications for IOCO testing. In: IEEE 7th International Conference on Software Testing, Verification and Validation. IEEE; 2014. doi:10.1109/ICST.2014.50
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2014 | Journal Article | IST-REx-ID: 2168 | OA
Kelleher J, Etheridge A, Barton NH. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 2014;95:13-23. doi:10.1016/j.tpb.2014.05.001
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2014 | Journal Article | IST-REx-ID: 2169 | OA
Barton NH, Novak S, Paixao T. Diverse forms of selection in evolution and computer science. PNAS. 2014;111(29):10398-10399. doi:10.1073/pnas.1410107111
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2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8691. Springer; 2014:550-565. doi:10.1007/978-3-319-10578-9_36
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