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5685 Publications
2014 | Journal Article | LibreCat-ID: 16077
R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16078
G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
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2014 | Journal Article | LibreCat-ID: 16079
M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16080
A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” International Journal of Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16082
R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16083
N. Donner-Banzhoff, J. Haasenritter, E. 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, vol. 2, no. 67, pp. 124–132, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10247
R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10248
R. Busa-Fekete and E. Hüllermeier, “A Survey of Preference-Based Online Learning with Bandit Algorithms,” in Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10249
S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10250
A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10251
A. Abdel-Aziz, M. Strickert, and E. Hüllermeier, “Learning Solution Similarity in Preference-Based CBR,” in Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10253
D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce Model,” in Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10254
T. Calders, F. Esposito, E. 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, 2014, pp. 8724–8726.
LibreCat
2014 | Conference Paper | LibreCat-ID: 10295
J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp. 1–27.
LibreCat
2014 | Journal Article | LibreCat-ID: 10296
A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10297
F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses 5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, pp. 685–686, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10298
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery, vol. 28, no. 5–6, pp. 1129–1133, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10299
S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10308
E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10309
E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10310
M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10311
R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10312
M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier, “Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances,” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10313
T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97, no. 1–2, pp. 1–3, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10314
R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10315
E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E. Hüllermeier, “Dependent binary relevance models for multi-label classification,” Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10316
G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10317
T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 10318
M. Stock et al., “Identification of Functionally Releated Enzymes by Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, pp. 1157–1169, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 8171 | 
S. Gharibian and J. Kempe, “Hardness of approximation for quantum problems,” Quantum Information & Computation, vol. 14, no. 5–6, pp. 517–540, 2014.
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| arXiv
2014 | Journal Article | LibreCat-ID: 8172 |
D. W. Berry, R. Cleve, and S. Gharibian, “Gate-efficient discrete simulations of continuous-time quantum query algorithms,” Quantum Information & Computation, vol. 14, no. 1–2, pp. 1–30, 2014.
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| arXiv
2014 | Book Chapter | LibreCat-ID: 335
M. Platzner and C. Plessl, “Verschiebungen an der Grenze zwischen Hardware und Software,” in Logiken strukturbildender Prozesse: Automatismen, J. Künsemöller, N. O. Eke, L. Foit, and T. Kaerlein, Eds. Paderborn: Wilhelm Fink, 2014, pp. 123–144.
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2014 | Conference Paper | LibreCat-ID: 388
T. Kenter, G. F. Vaz, and C. 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), 2014, vol. 8405, pp. 144–155, doi: 10.1007/978-3-319-05960-0_13.
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| DOI
2014 | Journal Article | LibreCat-ID: 363
A. Agne, H. Hangmann, M. Happe, M. Platzner, and C. Plessl, “Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators,” Microprocessors and Microsystems, vol. 38, no. 8, Part B, pp. 911–919, 2014, doi: 10.1016/j.micpro.2013.12.001.
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| DOI
2014 | Conference Paper | LibreCat-ID: 377
H. Riebler, T. Kenter, C. Plessl, and C. Sorge, “Reconstructing AES Key Schedules from Decayed Memory with FPGAs,” in Proceedings of Field-Programmable Custom Computing Machines (FCCM), 2014, pp. 222–229, doi: 10.1109/FCCM.2014.67.
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| Files available
| DOI
2014 | Journal Article | LibreCat-ID: 365
A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-awareness as a Model for Designing and Operating Heterogeneous Multicores,” ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 7, no. 2, Art. no. 13, 2014, doi: 10.1145/2617596.
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| DOI
2014 | Journal Article | LibreCat-ID: 328
A. Agne et al., “ReconOS - An Operating System Approach for Reconfigurable Computing,” IEEE Micro, vol. 34, no. 1, pp. 60–71, 2014, doi: 10.1109/MM.2013.110.
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| DOI
2014 | Conference Paper | LibreCat-ID: 1778
G. C. Durelli et al., “Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach,” in Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), 2014, pp. 142–149, doi: 10.1109/ISPA.2014.27.
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| DOI
2014 | Conference Paper | LibreCat-ID: 439
G. F. Vaz, H. Riebler, T. Kenter, and C. Plessl, “Deferring Accelerator Offloading Decisions to Application Runtime,” in Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2014, pp. 1–8, doi: 10.1109/ReConFig.2014.7032509.
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| DOI
2014 | Conference Paper | LibreCat-ID: 406
T. Kenter, H. Schmitz, and C. Plessl, “Kernel-Centric Acceleration of High Accuracy Stereo-Matching,” in Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2014, pp. 1–8, doi: 10.1109/ReConFig.2014.7032535.
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| Files available
| DOI
2014 | Conference Paper | LibreCat-ID: 1780
G. C. Durelli et al., “SAVE: Towards efficient resource management in heterogeneous system architectures,” 2014, doi: 10.1007/978-3-319-05960-0_38.
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| DOI
2014 | Journal Article | LibreCat-ID: 1779
H. Giefers, C. Plessl, and J. Förstner, “Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers,” ACM SIGARCH Computer Architecture News, vol. 41, no. 5, pp. 65–70, 2014, doi: 10.1145/2641361.2641372.
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| DOI
2014 | Book Chapter | LibreCat-ID: 46381
P. Kerschke et al., “Cell Mapping Techniques for Exploratory Landscape Analysis,” in EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, vol. 288, A.-A. Tantar, E. Tantar, J.-Q. Sun, W. Zhang, Q. Ding, O. Schütze, M. T. M. Emmerich, P. Legrand, M. P. Del, and C. C. A. Coello, Eds. Cham: Springer International Publishing, 2014, pp. 115–131.
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| DOI
2014 | Book Chapter | LibreCat-ID: 46382
G. Rudolph, O. Schütze, C. Grimme, and H. 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, vol. 288, A. Tantar, E. Tantar, J. Sun, W. Zhang, Q. Ding, O. Schütze, M. Emmerich, P. Legrand, M. P. Del, and C. C. Coello, Eds. Springer International Publishing, 2014, pp. 261–273.
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| DOI
2014 | Conference Paper | LibreCat-ID: 46383
G. Rudolph, C. Grimme, O. Schütze, and H. Trautmann, “An Aspiration Set EMOA Based on Averaged Hausdorff Distances,” in Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014, vol. 8426, pp. 153–156.
LibreCat
2014 | Conference Paper | LibreCat-ID: 46384
S. Wessing, M. Preuss, and H. Trautmann, “Stopping Criteria for Multimodal Optimization,” in Proceedings of the Parallel Problem Solving from Nature — PPSN XIII, 2014, vol. 8672, pp. 141–150, doi: 10.1007/978-3-319-10762-2_14.
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| DOI