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5711 Publications
2014 | Conference Paper | LibreCat-ID: 15090
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.
LibreCat
2014 | Conference Paper | LibreCat-ID: 15092
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
LibreCat
| DOI
2014 | Journal Article | LibreCat-ID: 16046
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).
LibreCat
2014 | Journal Article | LibreCat-ID: 16060
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.
LibreCat
2014 | Journal Article | LibreCat-ID: 16064
Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning, 55(7), 1519–1534.
LibreCat
2014 | Journal Article | LibreCat-ID: 16069
Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.
LibreCat
2014 | Journal Article | LibreCat-ID: 16077
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.
LibreCat
2014 | Journal Article | LibreCat-ID: 16078
Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10.
LibreCat
2014 | Journal Article | LibreCat-ID: 16079
Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109.
LibreCat
2014 | Journal Article | LibreCat-ID: 16080
Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science, 24(1), 199–212.
LibreCat
2014 | Journal Article | LibreCat-ID: 16082
Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.
LibreCat
2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff, N., Haasenritter, J., Hüllermeier, E., Viniol, A., Bösner, S., & Becker, A. (2014). The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology, 2(67), 124–132.
LibreCat
2014 | Book Chapter | LibreCat-ID: 16394
Lukovszki, T., & Meyer auf der Heide, F. (2014). Fast Collisionless Pattern Formation by Anonymous, Position-Aware Robots. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-319-14472-6_17
LibreCat
| DOI
2014 | Book Chapter | LibreCat-ID: 16395
Abshoff, S., & Meyer auf der Heide, F. (2014). Continuous Aggregation in Dynamic Ad-Hoc Networks. In Structural Information and Communication Complexity. Cham. https://doi.org/10.1007/978-3-319-09620-9_16
LibreCat
| DOI
2014 | Conference Paper | LibreCat-ID: 13154
Graf, T., & Platzner, M. (2014). Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go. In 2014 IEEE Conference on Computational Intelligence and Games (pp. 1–8). https://doi.org/10.1109/CIG.2014.6932863
LibreCat
| DOI
2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, R., Szörényi, B., & Hüllermeier, E. (2014). PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In Proceedings AAAI 2014, Quebec, Canada (pp. 1701–1707).
LibreCat
2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, R., & Hüllermeier, E. (2014). A Survey of Preference-Based Online Learning with Bandit Algorithms. In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia (pp. 18–39).
LibreCat
2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, S., & Hüllermeier, E. (2014). Mining Rank Data. In Proceedings Discovery Science, Bled,Slovenia (pp. 123–134).
LibreCat
2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., Strickert, M., & Hüllermeier, E. (2014). The Choquet kernel for monotone data. In Proceedings ESANN , Bruges, Belgium.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., Strickert, M., & Hüllermeier, E. (2014). Learning Solution Similarity in Preference-Based CBR. In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland (pp. 17–31).
LibreCat
2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, D., & Hüllermeier, E. (2014). Dyad Ranking Using A Bilinear Plackett-Luce Model. In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany (pp. 32–33).
LibreCat
2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In Proceedings, Parts I-III. Lecture Notes in Computer Science (pp. 8724–8726). Springer.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Hüllermeier, E., Rudin, C., Slowinski, R., & Sanner, S. (2014). Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports (Vol. 4, pp. 1–27).
LibreCat
2014 | Journal Article | LibreCat-ID: 10296
Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science, 24(1), 199–212.
LibreCat
2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., Hüllermeier, E., & Kroll, A. (2014). Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik, 62(10), 685–686.
LibreCat
2014 | Journal Article | LibreCat-ID: 10298
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min. Knowledge Discovery, 28(5–6), 1129–1133.
LibreCat
2014 | Journal Article | LibreCat-ID: 10299
Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy rule-based systems. Evolving Systems, 5(3), 175–191.
LibreCat
2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1519–1534.
LibreCat
2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, E. (2014). Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1609–1613.
LibreCat
2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., Bunte, K., Schleif, F.-M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109.
LibreCat
2014 | Journal Article | LibreCat-ID: 10311
Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.
LibreCat
2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., Moog, M., Stork, S., Zauner, S., Maier, U. G., & Hüllermeier, E. (2014). Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J. Bioinformatics and Computational Biology, 12(1).
LibreCat
2014 | Journal Article | LibreCat-ID: 10313
Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning, 97(1–2), 1–3.
LibreCat
2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, R., Szörényi, 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.
LibreCat
2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Senge, R., Barranquero, J., Quevedo, J. R., Del Coz, J. J., & Hüllermeier, E. (2014). Dependent binary relevance models for multi-label classification. Pattern Recognition, 47(3), 1494–1508.
LibreCat
2014 | Journal Article | LibreCat-ID: 10316
Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10.
LibreCat
2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans. Comput. Biology Bioinform., 11(5), 878–890.
LibreCat
2014 | Journal Article | LibreCat-ID: 10318
Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T., … Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6), 1157–1169.
LibreCat
2014 | Journal Article | LibreCat-ID: 1375
Beister, F., Dräxler, M., Aelken, J., & Karl, H. (2014). Power model design for ICT systems – A generic approach. Computer Communications, 50, 77–85. https://doi.org/10.1016/j.comcom.2014.02.007
LibreCat
| DOI
2014 | Journal Article | LibreCat-ID: 8171 | 
Gharibian, S., & Kempe, J. (2014). Hardness of approximation for quantum problems. Quantum Information & Computation, 14(5–6), 517–540.
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| arXiv
2014 | Journal Article | LibreCat-ID: 8172 |
W. Berry, D., Cleve, R., & Gharibian, S. (2014). Gate-efficient discrete simulations of continuous-time quantum query algorithms. Quantum Information & Computation, 14(1–2), 1–30.
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| arXiv
2014 | Book Chapter | LibreCat-ID: 335
Platzner, M., & Plessl, C. (2014). Verschiebungen an der Grenze zwischen Hardware und Software. In J. Künsemöller, N. O. Eke, L. Foit, & T. Kaerlein (Eds.), Logiken strukturbildender Prozesse: Automatismen (pp. 123–144). Wilhelm Fink.
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2014 | Conference Paper | LibreCat-ID: 388
Kenter, T., Vaz, G. F., & Plessl, C. (2014). Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer. Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC), 8405, 144–155. https://doi.org/10.1007/978-3-319-05960-0_13
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| DOI
2014 | Journal Article | LibreCat-ID: 363
Agne, A., Hangmann, H., Happe, M., Platzner, M., & Plessl, C. (2014). Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators. Microprocessors and Microsystems, 38(8, Part B), 911–919. https://doi.org/10.1016/j.micpro.2013.12.001
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| DOI
2014 | Conference Paper | LibreCat-ID: 377
Riebler, H., Kenter, T., Plessl, C., & Sorge, C. (2014). Reconstructing AES Key Schedules from Decayed Memory with FPGAs. Proceedings of Field-Programmable Custom Computing Machines (FCCM), 222–229. https://doi.org/10.1109/FCCM.2014.67
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| Files available
| DOI
2014 | Journal Article | LibreCat-ID: 365
Agne, A., Happe, M., Lösch, A., Plessl, C., & Platzner, M. (2014). Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 7(2), Article 13. https://doi.org/10.1145/2617596
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| DOI
2014 | Journal Article | LibreCat-ID: 328
Agne, A., Happe, M., Keller, A., Lübbers, E., Plattner, B., Platzner, M., & Plessl, C. (2014). ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro, 34(1), 60–71. https://doi.org/10.1109/MM.2013.110
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| DOI
2014 | Conference Paper | LibreCat-ID: 1778
C. Durelli, G., Pogliani, M., Miele, A., Plessl, C., Riebler, H., Vaz, G. F., D. Santambrogio, M., & Bolchini, C. (2014). Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach. Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), 142–149. https://doi.org/10.1109/ISPA.2014.27
LibreCat
| DOI
2014 | Conference Paper | LibreCat-ID: 439
Vaz, G. F., Riebler, H., Kenter, T., & Plessl, C. (2014). Deferring Accelerator Offloading Decisions to Application Runtime. Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 1–8. https://doi.org/10.1109/ReConFig.2014.7032509
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| DOI
2014 | Conference Paper | LibreCat-ID: 406
Kenter, T., Schmitz, H., & Plessl, C. (2014). Kernel-Centric Acceleration of High Accuracy Stereo-Matching. Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 1–8. https://doi.org/10.1109/ReConFig.2014.7032535
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