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5685 Publications
2014 | Journal Article | LibreCat-ID: 16077
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.
LibreCat
2014 | Journal Article | LibreCat-ID: 16078
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.
LibreCat
2014 | Journal Article | LibreCat-ID: 16079
Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
LibreCat
2014 | Journal Article | LibreCat-ID: 16080
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
LibreCat
2014 | Journal Article | LibreCat-ID: 16082
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
LibreCat
2014 | Journal Article | LibreCat-ID: 16083
Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S. Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no. 67 (2014): 124–32.
LibreCat
2014 | Book Chapter | LibreCat-ID: 16394
Lukovszki, Tamás, and Friedhelm Meyer auf der Heide. “Fast Collisionless Pattern Formation by Anonymous, Position-Aware Robots.” In Lecture Notes in Computer Science. Cham, 2014. https://doi.org/10.1007/978-3-319-14472-6_17.
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| DOI
2014 | Book Chapter | LibreCat-ID: 16395
Abshoff, Sebastian, and Friedhelm Meyer auf der Heide. “Continuous Aggregation in Dynamic Ad-Hoc Networks.” In Structural Information and Communication Complexity. Cham, 2014. https://doi.org/10.1007/978-3-319-09620-9_16.
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2014 | Conference Paper | LibreCat-ID: 13154
Graf, Tobias, and Marco Platzner. “Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go.” In 2014 IEEE Conference on Computational Intelligence and Games, 1–8, 2014. https://doi.org/10.1109/CIG.2014.6932863.
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| DOI
2014 | Conference Paper | LibreCat-ID: 10247
Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings AAAI 2014, Quebec, Canada, 1701–7, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10248
Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
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2014 | Conference Paper | LibreCat-ID: 10249
Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10250
Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10251
Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10253
Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 32–33, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10254
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10295
Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10296
Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.
LibreCat
2014 | Journal Article | LibreCat-ID: 10297
Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik 62, no. 10 (2014): 685–86.
LibreCat
2014 | Journal Article | LibreCat-ID: 10298
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.
LibreCat
2014 | Journal Article | LibreCat-ID: 10299
Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.
LibreCat
2014 | Journal Article | LibreCat-ID: 10308
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.
LibreCat
2014 | Journal Article | LibreCat-ID: 10309
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.
LibreCat
2014 | Journal Article | LibreCat-ID: 10310
Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.
LibreCat
2014 | Journal Article | LibreCat-ID: 10311
Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.
LibreCat
2014 | Journal Article | LibreCat-ID: 10312
Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology 12, no. 1 (2014).
LibreCat
2014 | Journal Article | LibreCat-ID: 10313
Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.
LibreCat
2014 | Journal Article | LibreCat-ID: 10314
Busa-Fekete, Robert, B. Szörényi, 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.
LibreCat
2014 | Journal Article | LibreCat-ID: 10315
Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition 47, no. 3 (2014): 1494–1508.
LibreCat
2014 | Journal Article | LibreCat-ID: 10316
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.
LibreCat
2014 | Journal Article | LibreCat-ID: 10317
Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 5 (2014): 878–90.
LibreCat
2014 | Journal Article | LibreCat-ID: 10318
Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.
LibreCat
2014 | Journal Article | LibreCat-ID: 1375
Beister, Frederic, Martin Dräxler, Jörg Aelken, and Holger Karl. “Power Model Design for ICT Systems – A Generic Approach.” Computer Communications 50 (2014): 77–85. https://doi.org/10.1016/j.comcom.2014.02.007.
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| DOI
2014 | Journal Article | LibreCat-ID: 8171 | 
Gharibian, Sevag, and Julia Kempe. “Hardness of Approximation for Quantum Problems.” Quantum Information & Computation 14, no. 5–6 (2014): 517–40.
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| arXiv
2014 | Journal Article | LibreCat-ID: 8172 |
W. Berry, Dominic, Richard Cleve, and Sevag Gharibian. “Gate-Efficient Discrete Simulations of Continuous-Time Quantum Query Algorithms.” Quantum Information & Computation 14, no. 1–2 (2014): 1–30.
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| arXiv
2014 | Book Chapter | LibreCat-ID: 335
Platzner, Marco, and Christian Plessl. “Verschiebungen an der Grenze zwischen Hardware und Software.” In Logiken strukturbildender Prozesse: Automatismen, edited by Jörn Künsemöller, Norber Otto Eke, Lioba Foit, and Timo Kaerlein, 123–44. Schriftenreihe des Graduiertenkollegs “Automatismen.” Paderborn: Wilhelm Fink, 2014.
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2014 | Conference Paper | LibreCat-ID: 388
Kenter, Tobias, Gavin Francis Vaz, and Christian Plessl. “Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer.” In Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC), 8405:144–55. Lecture Notes in Computer Science (LNCS). Cham: Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-05960-0_13.
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| DOI
2014 | Journal Article | LibreCat-ID: 363
Agne, Andreas, Hendrik Hangmann, Markus Happe, Marco Platzner, and Christian Plessl. “Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators.” Microprocessors and Microsystems 38, no. 8, Part B (2014): 911–19. https://doi.org/10.1016/j.micpro.2013.12.001.
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| Files available
| DOI
2014 | Conference Paper | LibreCat-ID: 377
Riebler, Heinrich, Tobias Kenter, Christian Plessl, and Christoph Sorge. “Reconstructing AES Key Schedules from Decayed Memory with FPGAs.” In Proceedings of Field-Programmable Custom Computing Machines (FCCM), 222–29. IEEE, 2014. https://doi.org/10.1109/FCCM.2014.67.
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| DOI
2014 | Journal Article | LibreCat-ID: 365
Agne, Andreas, Markus Happe, Achim Lösch, Christian Plessl, and Marco Platzner. “Self-Awareness as a Model for Designing and Operating Heterogeneous Multicores.” ACM Transactions on Reconfigurable Technology and Systems (TRETS) 7, no. 2 (2014). https://doi.org/10.1145/2617596.
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| DOI
2014 | Journal Article | LibreCat-ID: 328
Agne, Andreas, Markus Happe, Ariane Keller, Enno Lübbers, Bernhard Plattner, Marco Platzner, and Christian Plessl. “ReconOS - An Operating System Approach for Reconfigurable Computing.” IEEE Micro 34, no. 1 (2014): 60–71. https://doi.org/10.1109/MM.2013.110.
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| DOI
2014 | Conference Paper | LibreCat-ID: 1778
C. Durelli, Gianluca, Marcello Pogliani, Antonio Miele, Christian Plessl, Heinrich Riebler, Gavin Francis Vaz, Marco D. Santambrogio, and Cristiana Bolchini. “Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach.” In Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), 142–49. IEEE, 2014. https://doi.org/10.1109/ISPA.2014.27.
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| DOI
2014 | Conference Paper | LibreCat-ID: 439
Vaz, Gavin Francis, Heinrich Riebler, Tobias Kenter, and Christian Plessl. “Deferring Accelerator Offloading Decisions to Application Runtime.” In Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 1–8. IEEE, 2014. https://doi.org/10.1109/ReConFig.2014.7032509.
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| DOI
2014 | Conference Paper | LibreCat-ID: 406
Kenter, Tobias, Henning Schmitz, and Christian Plessl. “Kernel-Centric Acceleration of High Accuracy Stereo-Matching.” In Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 1–8. IEEE, 2014. https://doi.org/10.1109/ReConFig.2014.7032535.
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| DOI
2014 | Conference Paper | LibreCat-ID: 1780
C. Durelli, Gianluca, Marcello Copolla, Karim Djafarian, George Koranaros, Antonio Miele, Michele Paolino, Oliver Pell, Christian Plessl, Marco D. Santambrogio, and Cristiana Bolchini. “SAVE: Towards Efficient Resource Management in Heterogeneous System Architectures.” In Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC). Springer, 2014. https://doi.org/10.1007/978-3-319-05960-0_38.
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| DOI
2014 | Journal Article | LibreCat-ID: 1779
Giefers, Heiner, Christian Plessl, and Jens Förstner. “Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers.” ACM SIGARCH Computer Architecture News 41, no. 5 (2014): 65–70. https://doi.org/10.1145/2641361.2641372.
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| DOI
2014 | Book Chapter | LibreCat-ID: 46381
Kerschke, Pascal, Mike Preuss, Carlos Hernández, Oliver Schütze, Jian-Qiao Sun, Christian Grimme, Günter Rudolph, Bernd Bischl, and Heike Trautmann. “Cell Mapping Techniques for Exploratory Landscape Analysis.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael T M Emmerich, Pierrick Legrand, Moral Pierre Del, and Coello Carlos A Coello, 288:115–131. Advances in Intelligent Systems and Computing. Cham: Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-07494-8_9.
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| DOI
2014 | Book Chapter | LibreCat-ID: 46382
Rudolph, G, O Schütze, C Grimme, and Heike Trautmann. “A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets.” In EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, edited by A Tantar, E Tantar, J Sun, W Zhang, Q Ding, O Schütze, M Emmerich, P Legrand, Moral P Del, and Coello CA Coello, 288:261–273. Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. https://doi.org/10.1007/978-3-319-07494-8_18.
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| DOI
2014 | Conference Paper | LibreCat-ID: 46383
Rudolph, Günter, Christian Grimme, Oliver Schütze, and Heike Trautmann. “An Aspiration Set EMOA Based on Averaged Hausdorff Distances.” In Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 8426:153–156. Lecture Notes in Computer Science. Gainesville, Florida, USA: Springer, 2014.
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2014 | Conference Paper | LibreCat-ID: 46384
Wessing, S, M Preuss, and Heike Trautmann. “Stopping Criteria for Multimodal Optimization.” In Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, edited by T Bartz-Beielstein, J Branke, B Filipic, and J Smith, 8672:141–150. Lecture Notes in Computer Science. Ljubljana, Slovenia: Springer, 2014. https://doi.org/10.1007/978-3-319-10762-2_14.
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