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Erlacher, Felix, et al. “On the Impact of Street Width on 5.9 GHz Radio Signal Propagation in Vehicular Networks.”10.1109/wons.2014.6814735__2014 11th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), 2014, doi:10.1109/wons.2014.6814735.
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Li, Yanlu, et al. “Modeling Intrinsic Defects in LiNbO3 within the Slater-Janak Transition State Model.”10.1063/1.4883737__The Journal of Chemical Physics, 234113, 2014, doi:10.1063/1.4883737.
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Fallah Tehrani, A., et al. “The Choquet Kernel for Monotone Data.” Proceedings ESANN , Bruges, Belgium, 2014.
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Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.
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Hoffmann, F., et al. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, 2014, pp. 685–86.
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Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems, vol. 5, no. 3, 2014, pp. 175–91.
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Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.
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Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1609–13.
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Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing, vol. 141, 2014, pp. 97–109.
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Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014, pp. 16–29.
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Mernberger, M., et al. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014.
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Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning, vol. 97, no. 3, 2014, pp. 327–51.
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Montanés, E., et al. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition, vol. 47, no. 3, 2014, pp. 1494–508.
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Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations, vol. 16, no. 1, 2014, pp. 1–10.
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Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, 2014, pp. 878–90.
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Guo, Q., et al. “Adsorption of PTCDA on Terraces and at Steps Sites of the KCl(100) Surface.”10.1021/jp509663s__The Journal of Physical Chemistry C, vol. 118, 2014, pp. 29911–18, doi:10.1021/jp509663s.
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Oh, Deok Mahn, et al. “Oxygen Adsorbates on the Si(111)4×1-In Metallic Atomic Wire: Scanning Tunneling Microscopy and Density-Functional Theory Calculations.”10.1103/physrevb.90.155432__Physical Review B, vol. 90, no. 15, 2014, doi:10.1103/physrevb.90.155432.
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Hoffmann, Alexander, et al. “Geometrical and Optical Benchmarking of Copper(II) Guanidine-Quinoline Complexes: Insights from TD-DFT and Many-Body Perturbation Theory (Part II).”10.1002/jcc.23740__Journal of Computational Chemistry, vol. 35, no. 29–30, 2014, pp. 2146–61, doi:10.1002/jcc.23740.
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Landmann, M., et al. “The Atomic Structure of Ternary Amorphous TixSi1xO2hybrid Oxides.”10.1088/0953-8984/26/25/253201__Journal of Physics: Condensed Matter, vol. 26, 253201, 2014, doi:10.1088/0953-8984/26/25/253201.
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Sanna, Simone, et al. “Formation of Hydroxyl Groups at Calcium-Silicate-Hydrate (C-S-H): Coexistence of Ca–OH and Si–OH on Wollastonite(001).”10.1021/jp500170t__The Journal of Physical Chemistry C, vol. 118, 2014, pp. 8007–13, doi:10.1021/jp500170t.
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Gerstmann, Uwe, et al. “Rashba Splitting and Relativistic Energy Shifts in In/Si(111) Nanowires.”10.1103/physrevb.89.165431__Physical Review B, vol. 89, no. 16, 2014, doi:10.1103/physrevb.89.165431.
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