Malandrino, Francesco, Claudio Casetti, Carla-Fabiana Chiasserini, Christoph Sommer, and Falko Dressler. “The Role of Parked Cars in Content Downloading for Vehicular Networks.”https://doi.org/10.1109/tvt.2014.2316645__IEEE Transactions on Vehicular Technology, 2014, 4606–17.https://doi.org/10.1109/tvt.2014.2316645 .
LibreCat: /record/12038
DOI: 10.1109/tvt.2014.2316645

Segata, Michele, Bastian Bloessl, Stefan Joerer, Christoph Sommer, Renato Lo Cigno, and Falko Dressler. “Short Paper: Vehicle Shadowing Distribution Depends on Vehicle Type: Results of an Experimental Study.”https://doi.org/10.1109/vnc.2013.6737623__In 2013 IEEE Vehicular Networking Conference, 2014.https://doi.org/10.1109/vnc.2013.6737623 .
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DOI: 10.1109/vnc.2013.6737623

Segata, Michele, Bastian Bloessl, Christoph Sommer, and Falko Dressler. “Towards Energy Efficient Smart Phone Applications: Energy Models for Offloading Tasks into the Cloud.”https://doi.org/10.1109/icc.2014.6883681__In 2014 IEEE International Conference on Communications (ICC), 2014.https://doi.org/10.1109/icc.2014.6883681 .
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DOI: 10.1109/icc.2014.6883681

Sommer, Christoph, Florian Hagenauer, and Falko Dressler. “A Networking Perspective on Self-Organizing Intersection Management.”https://doi.org/10.1109/wf-iot.2014.6803164__In 2014 IEEE World Forum on Internet of Things (WF-IoT), 2014.https://doi.org/10.1109/wf-iot.2014.6803164 .
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DOI: 10.1109/wf-iot.2014.6803164

Tung, Lung-Chih, Jorge Mena, Mario Gerla, and Christoph Sommer. “A Cluster Based Architecture for Intersection Collision Avoidance Using Heterogeneous Networks.”https://doi.org/10.1109/medhocnet.2013.6767414__In 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), 2014.https://doi.org/10.1109/medhocnet.2013.6767414 .
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DOI: 10.1109/medhocnet.2013.6767414

Hellebrand, Sybille, Thomas Indlekofer, Matthias Kampmann, Michael A. Kochte, Chang Liu, and Hans-Joachim Wunderlich. “FAST-BIST: Faster-than-at-Speed BIST Targeting Hidden Delay Defects.”https://doi.org/10.1109/test.2014.7035360__In IEEE International Test Conference (ITC’14). Seattle, Washington, USA: IEEE, 2014.https://doi.org/10.1109/test.2014.7035360 .
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DOI: 10.1109/test.2014.7035360

Busjahn, Teresa, Roman Bednarik, and Carsten Schulte. “What Influences Dwell Time during Source Code Reading?: Analysis of Element Type and Frequency as Factors.” In ETRA, 335–38. ACM, 2014.
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Busjahn, Teresa, Carsten Schulte, Bonita Sharif, Andrew Begel, Michael Hansen, Roman Bednarik, Paul Orlov, Petri Ihantola, Galina Shchekotova, and Maria Antropova. “Eye Tracking in Computing Education.” In ICER, 3–10. ACM, 2014.
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Busjahn, Teresa, Carsten Schulte, and Edna Kropp. “Developing Coding Schemes for Program Comprehension Using Eye Movements.” In PPIG, 15. Psychology of Programming Interest Group, 2014.
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Schulte, Carsten, Michael E. Caspersen, and Judith Gal-Ezer, eds. Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM, 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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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

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).
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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.
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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.
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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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