P. Kaufmann and R. Kalkreuth, “Parametrizing Cartesian Genetic Programming: An Empirical Study,” in KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, 2017.

P. Kaufmann, N. Ho, and M. Platzner, “Evaluation Methodology for Complex Non-deterministic Functions: A Case Study in Metaheuristic Optimization of Caches,” in Adaptive Hardware and Systems (AHS), 2017.

P. Kaufmann and R. Kalkreuth, “An Empirical Study on the Parametrization of Cartesian Genetic Programming,” in Genetic and Evolutionary Computation (GECCO), Compendium, 2017.

Z. Guettatfi, P. Hübner, M. Platzner, and B. Rinner, “Computational self-awareness as design approach for visual sensor nodes,” in 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.

I. Ghribi, R. B. Abdallah, M. Khalgui, and M. Platzner, “I-Codesign: A Codesign Methodology for Reconfigurable Embedded Systems,” in Communications in Computer and Information Science, 2017.

T. Wiersema, A. Bockhorn, and M. Platzner, “An Architecture and Design Tool Flow for Embedding a Virtual FPGA into a Reconfigurable System-on-Chip,” Computers &; Electrical Engineering, pp. 112--122, 2016.

A. Boschmann, A. Agne, L. Witschen, G. Thombansen, F. Kraus, and M. Platzner, “FPGA-based acceleration of high density myoelectric signal processing,” in 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2016.

J. Cedric Mertens, Sprint Diagnostic with RTK-GPS \'26; IMU Sensor Fusion. Paderborn University, 2016.

A. S. Nassery, Implementation of Bilinear Pairings on Reconfigurable Hardware. Paderborn University, 2016.

O. Amin, Acceleration of EMTP for Distribution Networks on Data Flow Machines using the Latency Insertion Method. Paderborn University, 2016.

J. Anwer and M. Platzner, “Boolean Difference Based Reliability Evaluation of Fault Tolerant Circuit Structures on FPGAs,” in Euromicro Conference on Digital System Design (DSD), 2016.

A. Boschmann, S. Dosen, A. Werner, A. Raies, and D. Farina, “A novel immersive augmented reality system for prosthesis training and assessment,” in Proc. IEEE Int. Conf. Biomed. Health Informatics (BHI), 2016.

T. Graf and M. Platzner, “Adaptive playouts for online learning of policies during Monte Carlo Tree Search,” Journal Theoretical Computer Science, vol. 644, pp. 53–62, 2016.

J. Horstmann, Beschleunigte Simulation elektrischer Stromnetze mit GPUs. Paderborn University, 2016.

C. Ma, P. Kaufmann, J.-C. Töbermann, and M. Braun, “Optimal Generation Dispatch of Distributed Generators Considering Fair Contribution to Grid Voltage Control,” Renewable Energy, vol. 87, no. (part 2), pp. 946–953, 2016.

V. Makeswaran, Operating System Support for Reconfigurable Cache. Paderborn University, 2016.

I. Ibne Ashraf, Private/Shared Data Classification and Implementation for a Multi-Softcore Platform. Paderborn University, 2016.

S. Meisner and M. Platzner, “Thread Shadowing: On the Effectiveness of Error Detection at the Hardware Thread Level,” in Reconfigurable Computing and FPGAs (ReConFig), 2016 International Conference on, 2016, pp. 1–8.

M. Schmidt, Konzeption und Implementierung einer digitalen Ansteuerung für den Betrieb einer elektrischen Sendereinheit für induktive Energieübertragung. Paderborn University, 2016.

G. Squillero et al., Applications of Evolutionary Computation - 19th European Conference, EvoApplications, vol. 9597. Springer, 2016.

I. Ghribi, R. Ben Abdallah, M. Khalgui, and M. Platzner, “RCo-Design: New Visual Environment for Reconfigurable Embedded Systems,” in Proceedings of the 30th European Simulation and Modelling Conference (ESM), 2016.

I. Ghribi, R. Ben Abdallah, M. Khalgui, and M. Platzner, “New Co-design Methodology for Real-time Embedded Systems,” in Proceedings of the 11th International Conference on Software Engineering and Applications (ICSOFT-EA), 2016, pp. 185–195.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. PP, no. 99, pp. 1–1, 2016.

S. Hermansen, Custom Memory Controller for ReconOS. Paderborn University, 2016.

P. R. Lewis, M. Platzner, B. Rinner, J. Tørresen, and X. Yao, Eds., Self-aware Computing Systems: An Engineering Approach. Cham: Springer, 2016.

A. Boschmann, A. Agne, L. M. Witschen, G. Thombansen, F. Kraus, and M. Platzner, “FPGA-based acceleration of high density myoelectric signal processing,” in 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), Mexiko City, Mexiko, 2016.

T. Graf and M. Platzner, “Using Deep Convolutional Neural Networks in Monte Carlo Tree Search,” in Computer and Games, 2016.

T. Graf and M. Platzner, “Monte-Carlo Simulation Balancing Revisited,” in IEEE Computational Intelligence and Games, 2016.

T. Wiersema and M. Platzner, “Verifying Worst-Case Completion Times for Reconfigurable Hardware Modules using Proof-Carrying Hardware,” in Proceedings of the 11th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC 2016), 2016, pp. 1--8.

A. Agne, M. Platzner, C. Plessl, M. Happe, and E. Lübbers, “ReconOS,” in FPGAs for Software Programmers, D. Koch, F. Hannig, and D. Ziener, Eds. Cham: Springer International Publishing, 2016, pp. 227–244.

A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-aware Compute Nodes,” in Self-aware Computing Systems, Cham: Springer International Publishing, 2016, pp. 145–165.

A. Lösch, T. Beisel, T. Kenter, C. Plessl, and M. Platzner, “Performance-centric scheduling with task migration for a heterogeneous compute node in the data center,” in Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), 2016, pp. 912–917.

T. Wiersema, S. Wu, and M. Platzner, “On-The-Fly Verification of Reconfigurable Image Processing Modules based on a Proof-Carrying Hardware Approach,” in Proceedings of the International Symposium in Reconfigurable Computing (ARC), 2015, pp. 365--372.

C. Knorr, Evaluation von Bildverarbeitungsalgorithmen in heterogenen Rechenknoten. Universität Paderborn, 2015.

J. Torresen, C. Plessl, and X. Yao, “Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction,” IEEE Computer, vol. 48, no. 7, pp. 18–20, 2015.

A. F. Ahmed, Self-Optimizing Organic Cache. Paderborn University, 2015.

T. Beisel, Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Berlin: Logos Verlag Berlin GmbH, 2015.

H. Hangmann, Evolution of Heat Flow Prediction Models for FPGA Devices. Paderborn University, 2015.

C. Haupt, Computer Vision basierte Klassifikation von HD EMG Signalen. Paderborn University, 2015.

N. Ho, A. F. Ahmed, P. Kaufmann, and M. Platzner, “Microarchitectural optimization by means of reconfigurable and evolvable cache mappings,” in Proc. NASA/ESA Conf. Adaptive Hardware and Systems (AHS), 2015, pp. 1–7.

P. Kaufmann and C. Shen, “Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing,” in Genetic and Evolutionary Computation (GECCO), 2015, pp. 409–416.

S. Meisner and M. Platzner, “Comparison of thread signatures for error detection in hybrid multi-cores,” in Field Programmable Technology (FPT), 2015 International Conference on, 2015, pp. 212–215.

R. Meißner, Konzept und Implementation einer Benutzeroberfläche zur Generierung virtueller FPGAs. Universität Paderborn, 2015.

T. Posewsky, Acceleration of Artificial Neural Networks on a Zynq Platform. Paderborn University, 2015.

A. M. Mora et al., Applications of Evolutionary Computation - 18th European Conference, EvoApplications, vol. 9028. Copenhagen, Denmark: Springer, 2015.

P. H.W. Leong et al., “Significant papers from the first 25 years of the FPL conference,” in Proceedings of the 25th International Conference on Field Programmable Logic and Applications (FPL), 2015, pp. 1–3.

I. Ghribi, R. Ben Abdallah, M. Khalgui, and M. Platzner, “New Codesign Solutions for Modelling and Partitioning of Probabilistic Reconfigurable Embedded Software,” in Proceedings of the 29th European Simulation and Modelling Conference (ESM), 2015.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “From Defect Analysis to Gate-Level Fault Modeling of Controllable-Polarity Silicon Nanowires,” IEEE Transactions on Nanotechnology, vol. 14, no. 6, pp. 1117–1126, 2015.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, J. Zhang, G. De Micheli, E. Sanchez, and M. S. Reorda, “On the design of a fault tolerant ripple-carry adder with controllable-polarity transistors,” in 2015 IEEE Computer Society Annual Symposium on VLSI, 2015, pp. 491–496.

H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “Fault modeling in controllable polarity silicon nanowire circuits,” in Proceedings of the 2015 Design, Automation &; Test in Europe Conference \'26; Exhibition, 2015, pp. 453–458.