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5685 Publications
2014 | Conference Paper | LibreCat-ID: 12002
Eckhoff D, Dressler F, Sommer C. SmartRevoc: An efficient and privacy preserving revocation system using parked vehicles. In: 38th Annual IEEE Conference on Local Computer Networks. ; 2014. doi:10.1109/lcn.2013.6761338
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| DOI
2014 | Journal Article | LibreCat-ID: 12003
Eckhoff D, Sommer C. Driving for Big Data? Privacy Concerns in Vehicular Networking. IEEE Security & Privacy. 2014:77-79. doi:10.1109/msp.2014.2
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| DOI
2014 | Conference Paper | LibreCat-ID: 12008
Erlacher F, Klingler F, Sommer C, Dressler F. On the impact of street width on 5.9 GHz radio signal propagation in vehicular networks. In: 2014 11th Annual Conference on Wireless On-Demand Network Systems and Services (WONS). ; 2014. doi:10.1109/wons.2014.6814735
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| DOI
2014 | Journal Article | LibreCat-ID: 12038
Malandrino F, Casetti C, Chiasserini C-F, Sommer C, Dressler F. The Role of Parked Cars in Content Downloading for Vehicular Networks. IEEE Transactions on Vehicular Technology. 2014:4606-4617. doi:10.1109/tvt.2014.2316645
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| DOI
2014 | Conference Paper | LibreCat-ID: 12046
Segata M, Bloessl B, Joerer S, Sommer C, Lo Cigno R, Dressler F. Short paper: Vehicle shadowing distribution depends on vehicle type: Results of an experimental study. In: 2013 IEEE Vehicular Networking Conference. ; 2014. doi:10.1109/vnc.2013.6737623
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| DOI
2014 | Conference Paper | LibreCat-ID: 12049
Segata M, Bloessl B, Sommer C, Dressler F. Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud. In: 2014 IEEE International Conference on Communications (ICC). ; 2014. doi:10.1109/icc.2014.6883681
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| DOI
2014 | Conference Paper | LibreCat-ID: 12067
Sommer C, Hagenauer F, Dressler F. A networking perspective on self-organizing intersection management. In: 2014 IEEE World Forum on Internet of Things (WF-IoT). ; 2014. doi:10.1109/wf-iot.2014.6803164
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| DOI
2014 | Conference Paper | LibreCat-ID: 12073
Tung L-C, Mena J, Gerla M, Sommer C. A cluster based architecture for intersection collision avoidance using heterogeneous networks. In: 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET). ; 2014. doi:10.1109/medhocnet.2013.6767414
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| DOI
2014 | Conference Paper | LibreCat-ID: 15660
Busjahn T, Bednarik R, Schulte C. What influences dwell time during source code reading?: analysis of element type and frequency as factors. In: ETRA. ACM; 2014:335-338.
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2014 | Conference Paper | LibreCat-ID: 15661
Busjahn T, Schulte C, Sharif B, et al. Eye tracking in computing education. In: ICER. ACM; 2014:3-10.
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2014 | Conference Paper | LibreCat-ID: 15662
Busjahn T, Schulte C, Kropp E. Developing Coding Schemes for Program Comprehension using Eye Movements. In: PPIG. Psychology of Programming Interest Group; 2014:15.
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2014 | Conference (Editor) | LibreCat-ID: 15663
Schulte C, E. Caspersen M, Gal-Ezer J, 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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2014 | Conference Paper | LibreCat-ID: 14874
Chen M-H, Chen W-F, Ku L-W. RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions. In: Proceedings of the AsiaCALL 2014. ; 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 15089
Böttcher S, Hartel R, Thiele S. Difference Computation for Grammar-Compressed XML Data. In: Proceedings of the Second Australasian Web Conference. Australian Computer Society, Inc.; 2014:3-12.
LibreCat
2014 | Conference Paper | LibreCat-ID: 15090
Böttcher S, Brandenburg M, Hartel R. Keyword Search on DAG-Compressed XML Data. In: Proceedings of the Second Australasian Web Conference. Australian Computer Society, Inc.; 2014:13-20.
LibreCat
2014 | Conference Paper | LibreCat-ID: 15092
Böttcher S, Hartel R, Rabe J. Efficient XML Keyword Search Based on DAG-Compression. In: Database and Expert Systems Applications - 25th International Conference, DEXA 2014. Cham: Springer; 2014:122-137. doi:10.1007/978-3-319-10073-9_11
LibreCat
| DOI
2014 | Journal Article | LibreCat-ID: 16046
Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis. 2014;22(3-4).
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2014 | Journal Article | LibreCat-ID: 16060
Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2014;11(5):878-890.
LibreCat
2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning. 2014;55(7):1519-1534.
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2014 | Journal Article | LibreCat-ID: 16069
Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based systems. Evolving Systems. 2014;5:175-191.
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2014 | Journal Article | LibreCat-ID: 16077
Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.
LibreCat
2014 | Journal Article | LibreCat-ID: 16078
Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.
LibreCat
2014 | Journal Article | LibreCat-ID: 16079
Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.
LibreCat
2014 | Journal Article | LibreCat-ID: 16080
Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science. 2014;24(1):199-212.
LibreCat
2014 | Journal Article | LibreCat-ID: 16082
Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.
LibreCat
2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff N, Haasenritter J, Hüllermeier E, Viniol A, Bösner S, Becker A. The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology. 2014;2(67):124-132.
LibreCat
2014 | Book Chapter | LibreCat-ID: 16394
Lukovszki T, Meyer auf der Heide F. Fast Collisionless Pattern Formation by Anonymous, Position-Aware Robots. In: Lecture Notes in Computer Science. Cham; 2014. doi:10.1007/978-3-319-14472-6_17
LibreCat
| DOI
2014 | Book Chapter | LibreCat-ID: 16395
Abshoff S, Meyer auf der Heide F. Continuous Aggregation in Dynamic Ad-Hoc Networks. In: Structural Information and Communication Complexity. Cham; 2014. doi:10.1007/978-3-319-09620-9_16
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| DOI
2014 | Conference Paper | LibreCat-ID: 13154
Graf T, Platzner M. Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go. In: 2014 IEEE Conference on Computational Intelligence and Games. ; 2014:1-8. doi:10.1109/CIG.2014.6932863
LibreCat
| DOI
2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec, Canada. ; 2014:1701-1707.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete R, Hüllermeier E. A Survey of Preference-Based Online Learning with Bandit Algorithms. In: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia. ; 2014:18-39.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10249
Henzgen S, Hüllermeier E. Mining Rank Data. In: Proceedings Discovery Science, Bled,Slovenia . ; 2014:123-134.
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2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani A, Strickert M, Hüllermeier E. The Choquet kernel for monotone data. In: Proceedings ESANN , Bruges, Belgium. ; 2014.
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2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz A, Strickert M, Hüllermeier E. Learning Solution Similarity in Preference-Based CBR. In: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland. ; 2014:17-31.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10253
Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany. ; 2014:32-33.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10254
Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings, Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz J, Hüllermeier E, Rudin C, Slowinski R, Sanner S. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. In: Vol 4. ; 2014:1-27.
LibreCat
2014 | Journal Article | LibreCat-ID: 10296
Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science. 2014;24(1):199-212.
LibreCat
2014 | Journal Article | LibreCat-ID: 10297
Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686.
LibreCat
2014 | Journal Article | LibreCat-ID: 10298
Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery. 2014;28(5-6):1129-1133.
LibreCat
2014 | Journal Article | LibreCat-ID: 10299
Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy rule-based systems. Evolving Systems. 2014;5(3):175-191.
LibreCat
2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.
LibreCat
2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1609-1613.
LibreCat
2014 | Journal Article | LibreCat-ID: 10310
Strickert M, Bunte K, Schleif F-M, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.
LibreCat
2014 | Journal Article | LibreCat-ID: 10311
Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.
LibreCat
2014 | Journal Article | LibreCat-ID: 10312
Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J Bioinformatics and Computational Biology. 2014;12(1).
LibreCat
2014 | Journal Article | LibreCat-ID: 10313
Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3.
LibreCat
2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E. Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.
LibreCat
2014 | Journal Article | LibreCat-ID: 10315
Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E. Dependent binary relevance models for multi-label classification. Pattern Recognition. 2014;47(3):1494-1508.
LibreCat
2014 | Journal Article | LibreCat-ID: 10316
Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.
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