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Dachman Soled, D., Fuchsbauer, G., Mohassel, P., &; O’Neill, A. (2014). Enhanced chosen-ciphertext security and applications. In H. Krawczyk (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8383, pp. 329–344). Buenos Aires, Argentina: Springer.https://doi.org/10.1007/978-3-642-54631-0_19 
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Kupczok, A., &; Bollback, J. P. (2014). Motif depletion in bacteriophages infecting hosts with CRISPR systems. BMC Genomics. BioMed Central.https://doi.org/10.1186/1471-2164-15-663 
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Bauer, U., Kerber, M., &; Reininghaus, J. (2014). Distributed computation of persistent homology. In C.https://doi.org/10.1137/1.9781611973198.4__McGeoch &; U. Meyer (Eds.), Proceedings of the Workshop on Algorithm Engineering and Experiments (pp. 31–38). Portland, USA: Society of Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611973198.4 
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Jonas, P. M., &; Lisman, J. (2014). Structure, function and plasticity of hippocampal dentate gyrus microcircuits. Frontiers in Neural Circuits. Frontiers Research Foundation.https://doi.org/10.3389/fncir.2014.00107 
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Bauer, U., Kerber, M., &; Reininghaus, J. (2014). Clear and Compress: Computing Persistent Homology in Chunks. In P.-T. Bremer, I. Hotz, V. Pascucci, &; R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III (pp. 103–117). Springer.https://doi.org/10.1007/978-3-319-04099-8_7 
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Kicheva, A., Bollenbach, M. T., Ribeiro, A., Pérez Valle, H., Lovell Badge, R., Episkopou, V., &; Briscoe, J. (2014). Coordination of progenitor specification and growth in mouse and chick spinal cord. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.1254927 
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Yu, F., Rybar, M., Uhler, C., &; Fienberg, S. (2014). Differentially-private logistic regression for detecting multiple-SNP association in GWAS databases. In J. Domingo Ferrer (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8744, pp. 170–184). Ibiza, Spain: Springer.https://doi.org/10.1007/978-3-319-11257-2_14 
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arXiv: 1407.8067

Hermanns, H., Krdál, J., &; Kretinsky, J. (2014). Probabilistic bisimulation: Naturally on distributions. In P. Baldan &; D. Gorla (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8704, pp. 249–265). Rome, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.1007/978-3-662-44584-6_18 
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Aminof, B., Kotek, T., Rubin, S., Spegni, F., &; Veith, H. (2014). Parameterized model checking of rendezvous systems. In P. Baldan &; D. Gorla (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8704, pp. 109–124). Rome, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.1007/978-3-662-44584-6_9 
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Bellare, M., &; Fuchsbauer, G. (2014). Policy-based signatures. In H. Krawczyk (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8383, pp. 520–537). Buenos Aires, Argentina: Springer.https://doi.org/10.1007/978-3-642-54631-0_30 
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Kühnen, J., Holzner, M., Hof, B., &; Kuhlmann, H. (2014). Experimental investigation of transitional flow in a toroidal pipe. Journal of Fluid Mechanics. Cambridge University Press.https://doi.org/10.1017/jfm.2013.603 
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arXiv: 1508.06546

Dubas, E., Moravdíková, J., Libantová, J., Matusíková, I., Benková, E., Zur, I., &; Krzewska, M. (2014). The influence of heat stress on auxin distribution in transgenic B napus microspores and microspore derived embryos. Protoplasma. Springer.https://doi.org/10.1007/s00709-014-0616-1 
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Hu, H., Gan, J., &; Jonas, P. M. (2014). Fast-spiking parvalbumin^+ GABAergic interneurons: From cellular design to microcircuit function. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.1255263 
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Raveendran, K., Wojtan, C., Thuerey, N., &; Türk, G. (2014). Blending liquids. In ACM Transactions on Graphics (Vol. 33). Vancouver, Canada: ACM.https://doi.org/10.1145/2601097.2601126 
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Morvant, E., Habrard, A., &; Ayache, S. (2014). Majority vote of diverse classifiers for late fusion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8621, pp. 153–162). Joensuu, Finland: Springer.https://doi.org/10.1007/978-3-662-44415-3_16 
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Ganguly, A., Petrov, T., &; Koeppl, H. (2014). Markov chain aggregation and its applications to combinatorial reaction networks. Journal of Mathematical Biology. Springer.https://doi.org/10.1007/s00285-013-0738-7 
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Mazur, E., Kurczyñska, E., &; Friml, J. (2014). Cellular events during interfascicular cambium ontogenesis in inflorescence stems of Arabidopsis. Protoplasma. Springer.https://doi.org/10.1007/s00709-014-0620-5 
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Rubio, M., Fukazawa, Y., Kamasawa, N., Clarkson, C., Molnár, E., &; Shigemoto, R. (2014). Target- and input-dependent organization of AMPA and NMDA receptors in synaptic connections of the cochlear nucleus. Journal of Comparative Neurology. Wiley-Blackwell.https://doi.org/10.1002/cne.23654 
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Bauer, U., &; Lesnick, M. (2014). Induced matchings of barcodes and the algebraic stability of persistence. In Proceedings of the Annual Symposium on Computational Geometry (pp. 355–364). Kyoto, Japan: ACM.https://doi.org/10.1145/2582112.2582168 
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