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Malandrino, F., Casetti, C., Chiasserini, C.-F., Sommer, C., &; Dressler, F. (2014). The Role of Parked Cars in Content Downloading for Vehicular Networks. IEEE Transactions on Vehicular Technology, 4606–4617.https://doi.org/10.1109/tvt.2014.2316645 
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Segata, M., Bloessl, B., Joerer, S., Sommer, C., Lo Cigno, R., &; Dressler, F. (2014). Short paper: Vehicle shadowing distribution depends on vehicle type: Results of an experimental study. In 2013 IEEE Vehicular Networking Conference.https://doi.org/10.1109/vnc.2013.6737623 
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Segata, M., Bloessl, B., Sommer, C., &; Dressler, F. (2014). Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud. In 2014 IEEE International Conference on Communications (ICC).https://doi.org/10.1109/icc.2014.6883681 
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Sommer, C., Hagenauer, F., &; Dressler, F. (2014). A networking perspective on self-organizing intersection management. In 2014 IEEE World Forum on Internet of Things (WF-IoT).https://doi.org/10.1109/wf-iot.2014.6803164 
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Tung, L.-C., Mena, J., Gerla, M., &; Sommer, C. (2014). A cluster based architecture for intersection collision avoidance using heterogeneous networks. In 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).https://doi.org/10.1109/medhocnet.2013.6767414 
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Hellebrand, S., Indlekofer, T., Kampmann, M., A. Kochte, M., Liu, C., &; Wunderlich, H.-J. (2014). FAST-BIST: Faster-than-at-Speed BIST Targeting Hidden Delay Defects. In IEEE International Test Conference (ITC’14). Seattle, Washington, USA: IEEE.https://doi.org/10.1109/test.2014.7035360 
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Busjahn, T., Bednarik, R., &; Schulte, C. (2014). What influences dwell time during source code reading?: analysis of element type and frequency as factors. In ETRA (pp. 335–338). ACM.
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Busjahn, T., Schulte, C., Sharif, B., Begel, A., Hansen, M., Bednarik, R.,  Antropova, M. (2014). Eye tracking in computing education. In ICER (pp. 3–10). ACM.
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Busjahn, T., Schulte, C., &; Kropp, E. (2014). Developing Coding Schemes for Program Comprehension using Eye Movements. In PPIG (p. 15). Psychology of Programming Interest Group.
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Schulte, C., E. Caspersen, M., &; Gal-Ezer, J. (Eds.). (2014). Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM.
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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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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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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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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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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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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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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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Henzgen, S., Strickert, M., &; Hüllermeier, E. (2014). Visualization of evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.
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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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