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3219 Publications


2014 | Conference Paper | IST-REx-ID: 2155 | OA
Bauer, U., & Edelsbrunner, H. (2014). The morse theory of Čech and Delaunay filtrations. In Proceedings of the Annual Symposium on Computational Geometry (pp. 484–490). Kyoto, Japan: ACM. https://doi.org/10.1145/2582112.2582167
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2014 | Conference Paper | IST-REx-ID: 2156 | OA
Bauer, U., Ge, X., & Wang, Y. (2014). Measuring distance between Reeb graphs. In Proceedings of the Annual Symposium on Computational Geometry (pp. 464–473). Kyoto, Japan: ACM. https://doi.org/10.1145/2582112.2582169
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2014 | Conference Paper | IST-REx-ID: 2157 | OA
Matoušek, J., Sedgwick, E., Tancer, M., & Wagner, U. (2014). Embeddability in the 3 sphere is decidable. In Proceedings of the Annual Symposium on Computational Geometry (pp. 78–84). Kyoto, Japan: ACM. https://doi.org/10.1145/2582112.2582137
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2014 | Journal Article | IST-REx-ID: 2158 | OA
Majumdar, R., Sixt, M. K., & Parent, C. (2014). New paradigms in the establishment and maintenance of gradients during directed cell migration. Current Opinion in Cell Biology. Elsevier. https://doi.org/10.1016/j.ceb.2014.05.010
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2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina, A., & Lampert, C. (2014). A PAC-Bayesian bound for Lifelong Learning. In E. Xing & T. Jebara (Eds.) (Vol. 32, pp. 991–999). Presented at the ICML: International Conference on Machine Learning, Beijing, China: Omnipress.
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2014 | Conference Paper | IST-REx-ID: 2162 | OA
Chatterjee, K., & Ibsen-Jensen, R. (2014). The complexity of ergodic mean payoff games (Vol. 8573, pp. 122–133). Presented at the ICST: International Conference on Software Testing, Verification and Validation, Copenhagen, Denmark: Springer. https://doi.org/10.1007/978-3-662-43951-7_11
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2014 | Conference Paper | IST-REx-ID: 2163 | OA
Chatterjee, K., & Doyen, L. (2014). Games with a weak adversary. In Lecture Notes in Computer Science (Vol. 8573, pp. 110–121). Copenhagen, Denmark: Springer. https://doi.org/10.1007/978-3-662-43951-7_10
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2014 | Journal Article | IST-REx-ID: 2165 | OA
Morvant, E. (2014). Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2014.08.013
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2014 | Conference Paper | IST-REx-ID: 2167 | OA
Daca, P., Henzinger, T. A., Krenn, W., & Nickovic, D. (2014). Compositional specifications for IOCO testing. In IEEE 7th International Conference on Software Testing, Verification and Validation. Cleveland, USA: IEEE. https://doi.org/10.1109/ICST.2014.50
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2014 | Journal Article | IST-REx-ID: 2168 | OA
Kelleher, J., Etheridge, A., & Barton, N. H. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2014.05.001
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2014 | Journal Article | IST-REx-ID: 2169 | OA
Barton, N. H., Novak, S., & Paixao, T. (2014). Diverse forms of selection in evolution and computer science. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1410107111
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2014 | Journal Article | IST-REx-ID: 2170 | OA
Hearn, J., Stone, G., Bunnefeld, L., Nicholls, J., Barton, N. H., & Lohse, K. (2014). Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. Wiley-Blackwell. https://doi.org/10.1111/mec.12578
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2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov, A., Guillaumin, M., Ferrari, V., & Lampert, C. (2014). Closed-form approximate CRF training for scalable image segmentation. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8691, pp. 550–565). Zurich, Switzerland: Springer. https://doi.org/10.1007/978-3-319-10578-9_36
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2014 | Conference Paper | IST-REx-ID: 2173 | OA
Khamis, S., & Lampert, C. (2014). CoConut: Co-classification with output space regularization. In Proceedings of the British Machine Vision Conference 2014. Nottingham, UK: BMVA Press.
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2014 | Journal Article | IST-REx-ID: 2174 | OA
De Vladar, H., & Barton, N. H. (2014). Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.113.159111
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2014 | Journal Article | IST-REx-ID: 2175 | OA
Postiglione, M. P., & Hippenmeyer, S. (2014). Monitoring neurogenesis in the cerebral cortex: an update. Future Neurology. Future Medicine Ltd. https://doi.org/10.2217/fnl.14.18
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2014 | Journal Article | IST-REx-ID: 2178 | OA
Haws, D., Martin del Campo Sanchez, A., Takemura, A., & Yoshida, R. (2014). Markov degree of the three-state toric homogeneous Markov chain model. Beitrage Zur Algebra Und Geometrie. Springer. https://doi.org/10.1007/s13366-013-0178-y
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2014 | Journal Article | IST-REx-ID: 2179 | OA
Ajanki, O. H., Erdös, L., & Krüger, T. H. (2014). Local semicircle law with imprimitive variance matrix. Electronic Communications in Probability. Institute of Mathematical Statistics. https://doi.org/10.1214/ECP.v19-3121
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2014 | Journal Article | IST-REx-ID: 2180 | OA
Bellet, A., Habrard, A., Morvant, E., & Sebban, M. (2014). Learning a priori constrained weighted majority votes. Machine Learning. Springer. https://doi.org/10.1007/s10994-014-5462-z
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2014 | Journal Article | IST-REx-ID: 2183 | OA
Botella Soler, V., & Glendinning, P. (2014). Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.89.062809
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