Jentzsch FP. Enforcing IP Core Connection Properties with Verifiable Security Monitors. Universität Paderborn; 2018.

Ghribi I, Abdallah RB, Khalgui M, Li Z, Alnowibet K, Platzner M. R-Codesign: Codesign Methodology for Real-Time Reconfigurable Embedded Systems Under Energy Constraints. IEEE Access. 2018:14078-14092. doi:10.1109/access.2018.2799852

Hansmeier T. An FPGA Accelerator for Checking Resolution Proofs. Universität Paderborn; 2017.

Witschen LM. A Framework for the Synthesis of Approximate Circuits. Universität Paderborn; 2017.

Knorr C. OpenCL-basierte Videoverarbeitung auf heterogenen Rechenknoten. Universität Paderborn; 2017.

Shen C, Kaufmann P, Braun M. Three-Stage Power System Restoration Methodology Considering Renewable Energies. Elsevier International Journal of Electrical Power and Energy Systems (IJEPES). 2017;94:287-299. doi:10.1016/j.ijepes.2017.07.007

Lösch A, Platzner M. reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements. In: Proceedings of the 28th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP). ; 2017. doi:10.1109/ASAP.2017.7995272

Isenberg T, Platzner M, Wehrheim H, Wiersema T. Proof-Carrying Hardware via Inductive Invariants. ACM Transactions on Design Automation of Electronic Systems. 2017;(4):61:1--61:23. doi:10.1145/3054743

H.W. Leong P, Amano H, Anderson J, et al. The First 25 Years of the FPL Conference – Significant Papers. ACM Transactions on Reconfigurable Technology and Systems. 2017. doi:10.1145/2996468

F. DeMara R, Platzner M, Ottavi M. Innovation in Reconfigurable Computing Fabrics: from Devices to Architectures (guest editorial). IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing. 2017. doi:10.1109/TETC.2016.2641599

Anwer J, Platzner M. Evaluating fault-tolerance of redundant FPGA structures using Boolean difference calculus. Microprocessors and Microsystems. 2017:160-172. doi:10.1016/j.micpro.2017.06.002

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

Boschmann A, Thombansen G, Witschen LM, Wiens A, Platzner M. A Zynq-based dynamically reconfigurable high density myoelectric prosthesis controller. In: Design, Automation and Test in Europe (DATE). ; 2017. doi:10.23919/DATE.2017.7927137

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

Ho N, Ashraf II, Kaufmann P, Platzner M. Accurate Private/Shared Classification of Memory Accesses: a Run-time Analysis System for the LEON3 Multi-core Processor. In: Proc. Design, Automation and Test in Europe Conf. (DATE). ; 2017. doi:10.23919/DATE.2017.7927096

Ho N, Kaufmann P, Platzner M. Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. In: 2017 International Conference on Field Programmable Technology (ICFPT). ; 2017:215-218. doi:10.1109/FPT.2017.8280144

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

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

Shen C, Kaufmann P, Braun M. Fast Network Restoration by Partitioning of Parallel Black Start Zones. The Journal of Engineering. 2017:19pp. doi:10.1049/joe.2017.0032

Squillero G, Burelli P, M. Mora A, et al. Applications of Evolutionary Computation - 20th European Conference, EvoApplications. Springer; 2017.

Kaufmann P, Kalkreuth R. Parametrizing Cartesian Genetic Programming: An Empirical Study. In: KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI. Springer International Publishing; 2017. doi:10.1007/978-3-319-67190-1_26

Kaufmann P, Ho N, Platzner M. Evaluation Methodology for Complex Non-deterministic Functions: A Case Study in Metaheuristic Optimization of Caches. In: Adaptive Hardware and Systems (AHS). IEEE; 2017. doi:10.1109/AHS.2017.8046380

Kaufmann P, Kalkreuth R. An Empirical Study on the Parametrization of Cartesian Genetic Programming. In: Genetic and Evolutionary Computation (GECCO), Compendium. ACM; 2017. doi:10.1145/3067695.3075980

Guettatfi Z, Hübner P, Platzner M, Rinner B. Computational self-awareness as design approach for visual sensor nodes. In: 12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC). ; 2017:1-8. doi:10.1109/ReCoSoC.2017.8016147

Ghribi I, Abdallah RB, Khalgui M, Platzner M. I-Codesign: A Codesign Methodology for Reconfigurable Embedded Systems. In: Communications in Computer and Information Science. Cham: Springer ; 2017. doi:10.1007/978-3-319-62569-0_8

Wiersema T, Bockhorn A, Platzner M. An Architecture and Design Tool Flow for Embedding a Virtual FPGA into a Reconfigurable System-on-Chip. Computers &; Electrical Engineering. 2016:112--122. doi:10.1016/j.compeleceng.2016.04.005

Boschmann A, Agne A, Witschen L, Thombansen G, Kraus F, Platzner M. FPGA-based acceleration of high density myoelectric signal processing. In: 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2016. doi:10.1109/reconfig.2015.7393312

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

Nassery AS. Implementation of Bilinear Pairings on Reconfigurable Hardware. Paderborn University; 2016.

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

Anwer J, Platzner M. Boolean Difference Based Reliability Evaluation of Fault Tolerant Circuit Structures on FPGAs. In: Euromicro Conference on Digital System Design (DSD). ; 2016. doi:10.1109/DSD.2016.35

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

Graf T, Platzner M. Adaptive playouts for online learning of policies during Monte Carlo Tree Search. Journal Theoretical Computer Science. 2016;644:53-62. doi:10.1016/j.tcs.2016.06.029

Horstmann J. Beschleunigte Simulation Elektrischer Stromnetze Mit GPUs. Paderborn University; 2016.

Ma C, Kaufmann P, Töbermann J-C, Braun M. Optimal Generation Dispatch of Distributed Generators Considering Fair Contribution to Grid Voltage Control. Renewable Energy. 2016;87((part 2)):946-953. doi:10.1016/j.renene.2015.07.083

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

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

Meisner S, Platzner M. Thread Shadowing: On the Effectiveness of Error Detection at the Hardware Thread Level. In: Reconfigurable Computing and FPGAs (ReConFig), 2016 International Conference On. ReConFig. ; 2016:1-8. doi:10.1109/ReConFig.2016.7857193

Schmidt M. Konzeption Und Implementierung Einer Digitalen Ansteuerung Für Den Betrieb Einer Elektrischen Sendereinheit Für Induktive Energieübertragung. Paderborn University; 2016.

Squillero G, Burelli P, M. Mora A, et al. Applications of Evolutionary Computation - 19th European Conference, EvoApplications. Vol 9597. Springer; 2016.

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

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

Ghasemzadeh Mohammadi H, Gaillardon P-E, De Micheli G. Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2016;PP(99):1-1. doi:10.1109/TCAD.2016.2547908

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

Lewis PR, Platzner M, Rinner B, Tørresen J, Yao X, eds. Self-Aware Computing Systems: An Engineering Approach. Cham: Springer; 2016. doi:10.1007/978-3-319-39675-0

Boschmann A, Agne A, Witschen LM, Thombansen G, Kraus F, Platzner M. FPGA-based acceleration of high density myoelectric signal processing. In: 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2016. doi:10.1109/reconfig.2015.7393312

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

Graf T, Platzner M. Monte-Carlo Simulation Balancing Revisited. In: IEEE Computational Intelligence and Games. ; 2016.

Wiersema T, Platzner M. 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). ; 2016:1--8. doi:10.1109/ReCoSoC.2016.7533910

Agne A, Platzner M, Plessl C, Happe M, Lübbers E. ReconOS. In: Koch D, Hannig F, Ziener D, eds. FPGAs for Software Programmers. Springer International Publishing; 2016:227-244. doi:10.1007/978-3-319-26408-0_13