Witschen, Linus Matthias. A Framework for the Synthesis of Approximate Circuits. Universität Paderborn, 2017.

Knorr, Christoph. OpenCL-basierte Videoverarbeitung auf heterogenen Rechenknoten. Universität Paderborn, 2017.

Shen, Cong, Paul Kaufmann, and Martin Braun. “Three-Stage Power System Restoration Methodology Considering Renewable Energies.”https://doi.org/10.1016/j.ijepes.2017.07.007__Elsevier International Journal of Electrical Power and Energy Systems (IJEPES) 94 (2017): 287–99.https://doi.org/10.1016/j.ijepes.2017.07.007 .

Lösch, Achim, and Marco Platzner. “ReMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements.”https://doi.org/10.1109/ASAP.2017.7995272__In Proceedings of the 28th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP), 2017.https://doi.org/10.1109/ASAP.2017.7995272 .

Isenberg, Tobias, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Proof-Carrying Hardware via Inductive Invariants.”https://doi.org/10.1145/3054743__ACM Transactions on Design Automation of Electronic Systems, no. 4 (2017): 61:1--61:23.https://doi.org/10.1145/3054743 .

H.W. Leong, Philip, Hideharu Amano, Jason Anderson, Koen Bertels, Jo\'7eao M.P. Cardoso, Oliver Diessel, Guy Gogniat, et al. “The First 25 Years of the FPL Conference – Significant Papers.”https://doi.org/10.1145/2996468__ACM Transactions on Reconfigurable Technology and Systems, 2017.https://doi.org/10.1145/2996468 .

F. DeMara, Ronald, Marco Platzner, and Marco Ottavi. “Innovation in Reconfigurable Computing Fabrics: From Devices to Architectures (Guest Editorial).”https://doi.org/10.1109/TETC.2016.2641599__IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing, 2017.https://doi.org/10.1109/TETC.2016.2641599 .

Anwer, Jahanzeb, and Marco Platzner. “Evaluating Fault-Tolerance of Redundant FPGA Structures Using Boolean Difference Calculus.”https://doi.org/10.1016/j.micpro.2017.06.002__Microprocessors and Microsystems, 2017, 160–72.https://doi.org/10.1016/j.micpro.2017.06.002 .

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

Boschmann, Alexander, Georg Thombansen, Linus Matthias Witschen, Alex Wiens, and Marco Platzner. “A Zynq-Based Dynamically Reconfigurable High Density Myoelectric Prosthesis Controller.”https://doi.org/10.23919/DATE.2017.7927137__In Design, Automation and Test in Europe (DATE), 2017.https://doi.org/10.23919/DATE.2017.7927137 .

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

Ho, Nam, Ishraq Ibne Ashraf, Paul Kaufmann, and Marco Platzner. “Accurate Private/Shared Classification of Memory Accesses: A Run-Time Analysis System for the LEON3 Multi-Core Processor.”https://doi.org/10.23919/DATE.2017.7927096__In Proc. Design, Automation and Test in Europe Conf. (DATE), 2017.https://doi.org/10.23919/DATE.2017.7927096 .

Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolvable Caches: Optimization of Reconfigurable Cache Mappings for a LEON3/Linux-Based Multi-Core Processor.”https://doi.org/10.1109/FPT.2017.8280144__In 2017 International Conference on Field Programmable Technology (ICFPT), 215–18, 2017.https://doi.org/10.1109/FPT.2017.8280144 .

Shen, Cong, Paul Kaufmann, and Martin Braun. “Three-Stage Power System Restoration Methodology Considering Renewable Energies.” Elsevier International Journal of Electrical Power and Energy Systems (IJEPES), 2017.

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

Shen, Cong, Paul Kaufmann, and Martin Braun. “Fast Network Restoration by Partitioning of Parallel Black Start Zones.”https://doi.org/10.1049/joe.2017.0032__The Journal of Engineering, 2017, 19pp.https://doi.org/10.1049/joe.2017.0032 .

Squillero, Giovanni, Paolo Burelli, Antonio M. Mora, Alexandros Agapitos, William S. Bush, Stefano Cagnoni, Carlos Cotta, et al. Applications of Evolutionary Computation - 20th European Conference, EvoApplications. Lecture Notes in Computer Science. Springer, 2017.

Kaufmann, Paul, and Roman Kalkreuth. “Parametrizing Cartesian Genetic Programming: An Empirical Study.”https://doi.org/10.1007/978-3-319-67190-1_26__In KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI. Springer International Publishing, 2017.https://doi.org/10.1007/978-3-319-67190-1_26 .

Kaufmann, Paul, Nam Ho, and Marco Platzner. “Evaluation Methodology for Complex Non-Deterministic Functions: A Case Study in Metaheuristic Optimization of Caches.”https://doi.org/10.1109/AHS.2017.8046380__In Adaptive Hardware and Systems (AHS). IEEE, 2017.https://doi.org/10.1109/AHS.2017.8046380 .

Kaufmann, Paul, and Roman Kalkreuth. “An Empirical Study on the Parametrization of Cartesian Genetic Programming.”https://doi.org/10.1145/3067695.3075980__In Genetic and Evolutionary Computation (GECCO), Compendium. ACM, 2017.https://doi.org/10.1145/3067695.3075980 .