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Paul Kaufmann

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affiliation (since 2017): Johannes Gutenberg University Mainz, Germany
affiliation (former): University of Paderborn, Germany

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Books and Theses

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2013
[b1]
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Paul Kaufmann:
Adapting hardware systems by means of multi-objective evolution. Universität Paderborn, 2013, pp. I-XVI, 1-249

Journal Articles

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2021
[j5]
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Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
Graph representations in genetic programming. Genet. Program. Evolvable Mach. 22(4): 607-636 (2021)
2020
[j4]
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Hendrik Richter, Paul Kaufmann:
EvoStar 2019: Bio-Inspired Computing and Automation. Autom. 68(2): 87-88 (2020)
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Nam Ho, Paul Kaufmann, Marco Platzner:
Evolution of application-specific cache mappings. Int. J. Hybrid Intell. Syst. 16(3): 149-161 (2020)
2013
[j2]
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Paul Kaufmann, Kyrre Glette, Thiemo Gruber, Marco Platzner, Jim Tørresen, Bernhard Sick:
Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. IEEE Trans. Evol. Comput. 17(1): 46-63 (2013)
2012
[j1]
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Paul Kaufmann, Kyrre Glette, Marco Platzner, Jim Tørresen:
Compensating Resource Fluctuations by Means of Evolvable Hardware: The Run-Time Reconfigurable Functional Unit Row Classifier Architecture. Int. J. Adapt. Resilient Auton. Syst. 3(4): 17-31 (2012)

Conference and Workshop Papers

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2023
[c31]
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Lennart Clausing, Zakarya Guettatfi, Paul Kaufmann, Christian Lienen, Marco Platzner:
On Guaranteeing Schedulability of Periodic Real-Time Hardware Tasks Under ReconOS⁶⁴. ARC 2023: 245-259
2020
[c30]
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Zakarya Guettatfi, Paul Kaufmann, Marco Platzner:
Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices. ARC 2020: 108-117
[c29]
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Paul Kaufmann, Roman Kalkreuth:
On the Parameterization of Cartesian Genetic Programming. CEC 2020: 1-8
[c28]
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Tim Hansmeier, Paul Kaufmann, Marco Platzner:
Enabling XCSF to cope with dynamic environments via an adaptive error threshold. GECCO Companion 2020: 125-126
[c27]
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Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
A study on graph representations for genetic programming. GECCO 2020: 931-939
[c26]
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Tim Hansmeier, Paul Kaufmann, Marco Platzner:
An adaption mechanism for the error threshold of XCSF. GECCO Companion 2020: 1756-1764
2019
[c25]
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Nam Ho, Paul Kaufmann, Marco Platzner:
Optimization of Application-Specific L1 Cache Translation Functions of the LEON3 Processor. SoCPaR 2019: 266-276
2018
[c24]
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Paul Kaufmann, Andreas Riener:
Evaluation of Driving Performance and User Experience of Different Types of Speedometer. AutomotiveUI (adjunct) 2018: 110-114
2017
[c23]
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Paul Kaufmann, Nam Ho, Marco Platzner:
Evaluation methodology for complex non-deterministic functions: A case study in metaheuristic optimization of caches. AHS 2017: 206-213
[c22]
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Nam Ho, Ishraq Ibne Ashraf, Paul Kaufmann, Marco Platzner:
Accurate private/shared classification of memory accesses: A run-time analysis system for the LEON3 multi-core processor. DATE 2017: 788-793
[c21]
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Nam Ho, Paul Kaufmann, Marco Platzner:
Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. FPT 2017: 215-218
[c20]
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Paul Kaufmann, Roman Kalkreuth:
An empirical study on the parametrization of cartesian genetic programming. GECCO (Companion) 2017: 231-232
[c19]
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Paul Kaufmann, Roman Kalkreuth:
Parametrizing Cartesian Genetic Programming: An Empirical Study. KI 2017: 316-322
2015
[c18]
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Nam Ho, Abdullah Fathi Ahmed, Paul Kaufmann, Marco Platzner:
Microarchitectural optimization by means of reconfigurable and evolvable cache mappings. AHS 2015: 1-7
[c17]
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Paul Kaufmann, Cong Shen:
Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing. GECCO 2015: 409-416
2014
[c16]
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Kyrre Glette, Paul Kaufmann:
Lookup table partial reconfiguration for an evolvable hardware classifier system. IEEE Congress on Evolutionary Computation 2014: 1706-1713
[c15]
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Nam Ho, Paul Kaufmann, Marco Platzner:
A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms. FPL 2014: 1-4
[c14]
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Nam Ho, Paul Kaufmann, Marco Platzner:
Towards self-adaptive caches: A run-time reconfigurable multi-core infrastructure. ICES 2014: 31-37
[c13]
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Cong Shen, Paul Kaufmann, Martin Braun:
A new distribution network reconfiguration and restoration path selection algorithm. PSCC 2014: 1-6
2013
[c12]
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Kyrre Glette, Paul Kaufmann, Christopher Assad, Michael T. Wolf:
Investigating evolvable hardware classification for the BioSleeve electromyographic interface. ICES 2013: 73-80
2010
[c11]
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Paul Kaufmann, Tobias Knieper, Marco Platzner:
A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers. IEEE Congress on Evolutionary Computation 2010: 1-8
[c10]
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Tobias Knieper, Paul Kaufmann, Kyrre Glette, Marco Platzner, Jim Tørresen:
Coping with Resource Fluctuations: The Run-time Reconfigurable Functional Unit Row Classifier Architecture. ICES 2010: 250-261
2009
[c9]
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Paul Kaufmann, Christian Plessl, Marco Platzner:
EvoCaches: Application-specific Adaptation of Cache Mappings. AHS 2009: 11-18
2008
[c8]
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Kyrre Glette, Jim Tørresen, Thiemo Gruber, Bernhard Sick, Paul Kaufmann, Marco Platzner:
Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control. AHS 2008: 32-39
[c7]
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Tobias Schumacher, Robert Meiche, Paul Kaufmann, Enno Lübbers, Christian Plessl, Marco Platzner:
A Hardware Accelerator for k-th Nearest Neighbor Thinning. ERSA 2008: 245-251
[c6]
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Paul Kaufmann, Marco Platzner:
Advanced techniques for the creation and propagation of modules in cartesian genetic programming. GECCO 2008: 1219-1226
[c5]
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Kyrre Glette, Jim Tørresen, Paul Kaufmann, Marco Platzner:
A Comparison of Evolvable Hardware Architectures for Classification Tasks. ICES 2008: 22-33
[c4]
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Tobias Knieper, Bertrand Defo, Paul Kaufmann, Marco Platzner:
On Robust Evolution of Digital Hardware. BICC 2008: 213-222
2007
[c3]
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Paul Kaufmann, Marco Platzner:
MOVES: A Modular Framework for Hardware Evolution. AHS 2007: 447-454
[c2]
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Paul Kaufmann, Marco Platzner:
Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution. ARCS 2007: 199-208
[c1]
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Tobias Schumacher, Enno Lübbers, Paul Kaufmann, Marco Platzner:
Accelerating the Cube Cut Problem with an FPGA-Augmented Compute Cluster. PARCO 2007: 749-756

Parts in Books or Collections

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2013
[p4]
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Paul Kaufmann:
Multikriterielle Evolution adaptiver eingebetteter Systeme. Ausgezeichnete Informatikdissertationen 2013: 71-80
2011
[p3]
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Paul Kaufmann, Marco Platzner:
Multi-objective Intrinsic Evolution of Embedded Systems. Organic Computing 2011: 193-206
[p2]
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James Alfred Walker, Julian F. Miller, Paul Kaufmann, Marco Platzner:
Problem Decomposition in Cartesian Genetic Programming. Cartesian Genetic Programming 2011: 35-99
[p1]
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Lukás Sekanina, James Alfred Walker, Paul Kaufmann, Marco Platzner:
Evolution of Electronic Circuits. Cartesian Genetic Programming 2011: 125-179

Editorship

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2019
[e2]
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Paul Kaufmann, Pedro A. Castillo:
Applications of Evolutionary Computation - 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings. Lecture Notes in Computer Science 11454, Springer 2019, ISBN 978-3-030-16691-5 [contents]
2018
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Kevin Sim, Paul Kaufmann:
Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings. Lecture Notes in Computer Science 10784, Springer 2018, ISBN 978-3-319-77537-1 [contents]

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