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1309 Publications


2014 | Conference Paper | LibreCat-ID: 15904 | OA
Meyer, C., Somorovsky, J., Weiss, E., Schwenk, J., Schinzel, S., & Tews, E. (2014). Revisiting SSL/TLS Implementations: New Bleichenbacher Side Channels and Attacks. In 23rd {USENIX} Security Symposium ({USENIX} Security 14) (pp. 733–748). San Diego, CA: {USENIX} Association.
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2014 | Conference Paper | LibreCat-ID: 14874
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2014). RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions. In Proceedings of the AsiaCALL 2014.
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2014 | Journal Article | LibreCat-ID: 14914
Albers, S., & Sureth, C. (2014). Editorial: What Is and What Is Not a Substantial Contribution? Business Research, 5(2), 131–132. https://doi.org/10.1007/bf03342734
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2014 | Journal Article | LibreCat-ID: 14918
Maßbaum, A., & Sureth-Sloane, C. (2014). Thin Capitalization Rules and Entrepreneurial Capital Structure Decisions. Business Research, 2(2), 147–169. https://doi.org/10.1007/bf03342708
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2014 | Conference Paper | LibreCat-ID: 15089
Böttcher, S., Hartel, R., & Thiele, S. (2014). Difference Computation for Grammar-Compressed XML Data. In Proceedings of the Second Australasian Web Conference (pp. 3–12). Australian Computer Society, Inc.
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2014 | Conference Paper | LibreCat-ID: 15090
Böttcher, S., Brandenburg, M., & Hartel, R. (2014). Keyword Search on DAG-Compressed XML Data. In Proceedings of the Second Australasian Web Conference (pp. 13–20). Australian Computer Society, Inc.
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2014 | Conference Paper | LibreCat-ID: 15092
Böttcher, S., Hartel, R., & Rabe, J. (2014). Efficient XML Keyword Search Based on DAG-Compression. In Database and Expert Systems Applications - 25th International Conference, DEXA 2014 (pp. 122–137). Cham: Springer. https://doi.org/10.1007/978-3-319-10073-9_11
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2014 | Journal Article | LibreCat-ID: 15965
Leuders, S., Lieneke, T., Lammers, S., Tröster, T., & Niendorf, T. (2014). On the fatigue properties of metals manufactured by selective laser melting – The role of ductility. Journal of Materials Research, 1911–1919. https://doi.org/10.1557/jmr.2014.157
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2014 | Journal Article | LibreCat-ID: 15966
Niendorf, T., Leuders, S., Riemer, A., Brenne, F., Tröster, T., Richard, H. A., & Schwarze, D. (2014). Functionally Graded Alloys Obtained by Additive Manufacturing. Advanced Engineering Materials, 857–861. https://doi.org/10.1002/adem.201300579
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2014 | Journal Article | LibreCat-ID: 15967
Riemer, A., Leuders, S., Thöne, M., Richard, H. A., Tröster, T., & Niendorf, T. (2014). On the fatigue crack growth behavior in 316L stainless steel manufactured by selective laser melting. Engineering Fracture Mechanics, 15–25. https://doi.org/10.1016/j.engfracmech.2014.03.008
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2014 | Journal Article | LibreCat-ID: 16046
Agarwal, M., Fallah Tehrani, A., & Hüllermeier, E. (2014). Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis, 22(3–4).
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2014 | Journal Article | LibreCat-ID: 16060
Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 11(5), 878–890.
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2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning, 55(7), 1519–1534.
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2014 | Journal Article | LibreCat-ID: 16069
Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.
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2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete, R., Szörenyi, B., Weng, P., Cheng, W., & Hüllermeier, E. (2014). Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning, 97(3), 327–351.
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2014 | Journal Article | LibreCat-ID: 16078
Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10.
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2014 | Journal Article | LibreCat-ID: 16079
Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109.
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2014 | Journal Article | LibreCat-ID: 16080
Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science, 24(1), 199–212.
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2014 | Journal Article | LibreCat-ID: 16082
Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.
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2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff, N., Haasenritter, J., Hüllermeier, E., Viniol, A., Bösner, S., & Becker, A. (2014). The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology, 2(67), 124–132.
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