Wiebeler, Christian, and Stefan Schumacher. “Quantum Yields and Reaction Times of Photochromic Diarylethenes: Nonadiabatic Ab Initio Molecular Dynamics for Normal- and Inverse-Type.”https://doi.org/10.1021/jp506316w__The Journal of Physical Chemistry A, 2014, 7816–23.https://doi.org/10.1021/jp506316w .
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DOI: 10.1021/jp506316w

Lewandowski, P., V. Ardizzone, Y. C. Tse, N. H. Kwong, M. H. Luk, A. Lücke, M. Abbarchi, et al. “Formation and Control of Transverse Patterns in a Quantum Fluid of Microcavity Polaritons.”https://doi.org/10.1117/12.2037174__In Ultrafast Phenomena and Nanophotonics XVIII, edited by Markus Betz, Abdulhakem Y. Elezzabi, Jin-Joo Song, and Kong-Thon Tsen, 2014.https://doi.org/10.1117/12.2037174 .
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DOI: 10.1117/12.2037174

Meyer, Christopher, Juraj Somorovsky, Eugen Weiss, Jörg Schwenk, Sebastian Schinzel, and Erik Tews. “Revisiting SSL/TLS Implementations: New Bleichenbacher Side Channels and Attacks.” In 23rd USENIX Security Symposium (USENIX Security 14), 733–48. San Diego, CA: USENIX Association, 2014.
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Chen, Mei-Hua, Wei-Fan Chen, and Lun-Wei  Ku. “RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions.” In Proceedings of the AsiaCALL 2014, 2014.
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Maßbaum, Alexandra, and Caren Sureth-Sloane. “Thin Capitalization Rules and Entrepreneurial Capital Structure Decisions.”https://doi.org/10.1007/bf03342708__Business Research 2, no. 2 (2014): 147–69.https://doi.org/10.1007/bf03342708 .
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DOI: 10.1007/bf03342708

Böttcher, Stefan, Rita Hartel, and Sebastian Thiele. “Difference Computation for Grammar-Compressed XML Data.” In Proceedings of the Second Australasian Web Conference, 3–12. Australian Computer Society, Inc., 2014.
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Böttcher, Stefan, Marc Brandenburg, and Rita Hartel. “Keyword Search on DAG-Compressed XML Data.” In Proceedings of the Second Australasian Web Conference, 13–20. Australian Computer Society, Inc., 2014.
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Böttcher, Stefan, Rita Hartel, and Jonathan Rabe. “Efficient XML Keyword Search Based on DAG-Compression.”https://doi.org/10.1007/978-3-319-10073-9_11__In Database and Expert Systems Applications - 25th International Conference, DEXA 2014, 122–37. Cham: Springer, 2014.https://doi.org/10.1007/978-3-319-10073-9_11 .
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DOI: 10.1007/978-3-319-10073-9_11

Niendorf, Thomas, Stefan Leuders, Andre Riemer, Florian Brenne, Thomas Tröster, Hans Albert Richard, and Dieter Schwarze. “Functionally Graded Alloys Obtained by Additive Manufacturing.”https://doi.org/10.1002/adem.201300579__Advanced Engineering Materials, 2014, 857–61.https://doi.org/10.1002/adem.201300579 .
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DOI: 10.1002/adem.201300579

Riemer, A., S. Leuders, M. Thöne, H.A. Richard, Thomas Tröster, and T. Niendorf. “On the Fatigue Crack Growth Behavior in 316L Stainless Steel Manufactured by Selective Laser Melting.”https://doi.org/10.1016/j.engfracmech.2014.03.008__Engineering Fracture Mechanics, 2014, 15–25.https://doi.org/10.1016/j.engfracmech.2014.03.008 .
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DOI: 10.1016/j.engfracmech.2014.03.008

Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis 22, no. 3–4 (2014).
LibreCat: /record/16046

Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.
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Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning 55, no. 7 (2014): 1519–34.
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Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.
LibreCat: /record/16069

Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.
LibreCat: /record/16077

Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.
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Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
LibreCat: /record/16079

Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
LibreCat: /record/16080

Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
LibreCat: /record/16082

Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S. Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no. 67 (2014): 124–32.
LibreCat: /record/16083