Evaluating fault-tolerance of redundant FPGA structures using Boolean difference calculus
J. Anwer, M. Platzner, Microprocessors and Microsystems (2017) 160–172.

An AR-based Training and Assessment System for Myoelectrical Prosthetic Control
C. Kaltschmidt, An AR-Based Training and Assessment System for Myoelectrical Prosthetic Control, Paderborn University, 2017.

A Zynq-based dynamically reconfigurable high density myoelectric prosthesis controller
A. Boschmann, G. Thombansen, L.M. Witschen, A. Wiens, M. Platzner, in: Design, Automation and Test in Europe (DATE), 2017.

Acceleration of Industrial Analytics Functions on a Platform FPGA
U. Riaz, Acceleration of Industrial Analytics Functions on a Platform FPGA, Paderborn University, 2017.

Accurate Private/Shared Classification of Memory Accesses: a Run-time Analysis System for the LEON3 Multi-core Processor
N. Ho, I.I. Ashraf, P. Kaufmann, M. Platzner, in: Proc. Design, Automation and Test in Europe Conf. (DATE), 2017.

Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor
N. Ho, P. Kaufmann, M. Platzner, in: 2017 International Conference on Field Programmable Technology (ICFPT), 2017, pp. 215–218.

Three-Stage Power System Restoration Methodology Considering Renewable Energies
C. Shen, P. Kaufmann, M. Braun, Elsevier International Journal of Electrical Power and Energy Systems (IJEPES) (2017).

Reconfigurable Cryptographic Services
A. Dietrich, Reconfigurable Cryptographic Services, Paderborn University, 2017.

Fast Network Restoration by Partitioning of Parallel Black Start Zones
C. Shen, P. Kaufmann, M. Braun, The Journal of Engineering (2017) 19pp.

Applications of Evolutionary Computation - 20th European Conference, EvoApplications
G. Squillero, P. Burelli, A. M. Mora, A. Agapitos, W. S. Bush, S. Cagnoni, C. Cotta, I. De Falco, A. Della Cioppa, F. Divina, A.E. Eiben, A. I. Esparcia-Alc\rquote azar, F. Fern\rquote andez de Vega, K. Glette, E. Haasdijk, J. Ignacio Hidalgo, M. Kampouridis, P. Kaufmann, M. Mavrovouniotis, T. Thanh Nguyen, R. Schaefer, K. Sim, E. Tarantino, N. Urquhart, M. Zhang (editors), Applications of Evolutionary Computation - 20th European Conference, EvoApplications, Springer, 2017.

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

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

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

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

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

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

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

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

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

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