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.