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5685 Publications
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
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| 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
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| 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.
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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.
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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.
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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.
LibreCat
2014 | Journal Article | LibreCat-ID: 10317
Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(5):878-890.
LibreCat
2014 | Journal Article | LibreCat-ID: 10318
Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(6):1157-1169.
LibreCat
2014 | Journal Article | LibreCat-ID: 1375
Beister F, Dräxler M, Aelken J, Karl H. Power model design for ICT systems – A generic approach. Computer Communications. 2014;50:77-85. doi:10.1016/j.comcom.2014.02.007
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| DOI
2014 | Journal Article | LibreCat-ID: 8171 | 
Gharibian S, Kempe J. Hardness of approximation for quantum problems. Quantum Information & Computation. 2014;14(5-6):517-540.
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| arXiv
2014 | Journal Article | LibreCat-ID: 8172 |
W. Berry D, Cleve R, Gharibian S. Gate-efficient discrete simulations of continuous-time quantum query algorithms. Quantum Information & Computation. 2014;14(1-2):1-30.
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| arXiv
2014 | Book Chapter | LibreCat-ID: 335
Platzner M, Plessl C. Verschiebungen an der Grenze zwischen Hardware und Software. In: Künsemöller J, Eke NO, Foit L, Kaerlein T, eds. Logiken strukturbildender Prozesse: Automatismen. Schriftenreihe des Graduiertenkollegs “Automatismen.” Wilhelm Fink; 2014:123-144.
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2014 | Conference Paper | LibreCat-ID: 388
Kenter T, Vaz GF, Plessl C. Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer. In: Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC). Vol 8405. Lecture Notes in Computer Science (LNCS). Springer International Publishing; 2014:144-155. doi:10.1007/978-3-319-05960-0_13
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| Files available
| DOI
2014 | Journal Article | LibreCat-ID: 363
Agne A, Hangmann H, Happe M, Platzner M, Plessl C. Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators. Microprocessors and Microsystems. 2014;38(8, Part B):911-919. doi:10.1016/j.micpro.2013.12.001
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| Files available
| DOI
2014 | Conference Paper | LibreCat-ID: 377
Riebler H, Kenter T, Plessl C, Sorge C. Reconstructing AES Key Schedules from Decayed Memory with FPGAs. In: Proceedings of Field-Programmable Custom Computing Machines (FCCM). IEEE; 2014:222-229. doi: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. Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2014;7(2). doi:10.1145/2617596
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| Files available
| DOI
2014 | Journal Article | LibreCat-ID: 328
Agne A, Happe M, Keller A, et al. ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro. 2014;34(1):60-71. doi:10.1109/MM.2013.110
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| Files available
| DOI
2014 | Conference Paper | LibreCat-ID: 1778
C. Durelli G, Pogliani M, Miele A, et al. Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach. In: Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA). IEEE; 2014:142-149. doi:10.1109/ISPA.2014.27
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| DOI
2014 | Conference Paper | LibreCat-ID: 439
Vaz GF, Riebler H, Kenter T, Plessl C. Deferring Accelerator Offloading Decisions to Application Runtime. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032509
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| Files available
| DOI
2014 | Conference Paper | LibreCat-ID: 406
Kenter T, Schmitz H, Plessl C. Kernel-Centric Acceleration of High Accuracy Stereo-Matching. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032535
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| Files available
| DOI
2014 | Conference Paper | LibreCat-ID: 1780
C. Durelli G, Copolla M, Djafarian K, et al. SAVE: Towards efficient resource management in heterogeneous system architectures. In: Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC). Springer; 2014. doi:10.1007/978-3-319-05960-0_38
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| DOI
2014 | Journal Article | LibreCat-ID: 1779
Giefers H, Plessl C, Förstner J. Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers. ACM SIGARCH Computer Architecture News. 2014;41(5):65-70. doi:10.1145/2641361.2641372
LibreCat
| DOI
2014 | Book Chapter | LibreCat-ID: 46381
Kerschke P, Preuss M, Hernández C, et al. Cell Mapping Techniques for Exploratory Landscape Analysis. In: Tantar A-A, Tantar E, Sun J-Q, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V. Vol 288. Advances in Intelligent Systems and Computing. Springer International Publishing; 2014:115–131. doi:10.1007/978-3-319-07494-8_9
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| DOI
2014 | Book Chapter | LibreCat-ID: 46382
Rudolph G, Schütze O, Grimme C, Trautmann H. A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets. In: Tantar A, Tantar E, Sun J, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V. Vol 288. Advances in Intelligent Systems and Computing. Springer International Publishing; 2014:261–273. doi:10.1007/978-3-319-07494-8_18
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| DOI
2014 | Conference Paper | LibreCat-ID: 46383
Rudolph G, Grimme C, Schütze O, Trautmann H. An Aspiration Set EMOA Based on Averaged Hausdorff Distances. In: Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8). Vol 8426. Lecture Notes in Computer Science. Springer; 2014:153–156.
LibreCat
2014 | Conference Paper | LibreCat-ID: 46384
Wessing S, Preuss M, Trautmann H. Stopping Criteria for Multimodal Optimization. In: Bartz-Beielstein T, Branke J, Filipic B, Smith J, eds. Proceedings of the Parallel Problem Solving from Nature — PPSN XIII. Vol 8672. Lecture Notes in Computer Science. Springer; 2014:141–150. doi:10.1007/978-3-319-10762-2_14
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| DOI