@inproceedings{105,
  abstract     = {{We initiate the study of network monitoring algorithms in a class of hybrid networks in which the nodes are connected by an external network and an internal network (as a short form for externally and internally controlled network). While the external network lies outside of the control of the nodes (or in our case, the monitoring protocol running in them) and might be exposed to continuous changes, the internal network is fully under the control of the nodes. As an example, consider a group of users with mobile devices having access to the cell phone infrastructure. While the network formed by the WiFi connections of the devices is an external network (as its structure is not necessarily under the control of the monitoring protocol), the connections between the devices via the cell phone infrastructure represent an internal network (as it can be controlled by the monitoring protocol). Our goal is to continuously monitor properties of the external network with the help of the internal network. We present scalable distributed algorithms that efficiently monitor the number of edges, the average node degree, the clustering coefficient, the bipartiteness, and the weight of a minimum spanning tree. Their performance bounds demonstrate that monitoring the external network state with the help of an internal network can be done much more efficiently than just using the external network, as is usually done in the literature.}},
  author       = {{Gmyr, Robert and Hinnenthal, Kristian and Scheideler, Christian and Sohler, Christian}},
  booktitle    = {{Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)}},
  pages        = {{137:1----137:15}},
  title        = {{{Distributed Monitoring of Network Properties: The Power of Hybrid Networks}}},
  doi          = {{10.4230/LIPIcs.ICALP.2017.137}},
  year         = {{2017}},
}

@misc{10589,
  author       = {{Fürnkranz, J. and Hüllermeier, Eyke}},
  booktitle    = {{Encyclopedia of Machine Learning and Data Mining}},
  pages        = {{1000--1005}},
  title        = {{{Preference Learning}}},
  year         = {{2017}},
}

@article{10600,
  author       = {{H.W. Leong, Philip and Amano, Hideharu and Anderson, Jason and Bertels, Koen and M.P. Cardoso, Jo\~{a}o and Diessel, Oliver and Gogniat, Guy and Hutton, Mike and Lee, JunKyu and Luk, Wayne and Lysaght, Patrick and Platzner, Marco and K. Prasanna, Viktor and Rissa, Tero and Silvano, Cristina and So, Hayden and Wang, Yu}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems}},
  title        = {{{The First 25 Years of the FPL Conference – Significant Papers}}},
  doi          = {{10.1145/2996468}},
  year         = {{2017}},
}

@article{10601,
  author       = {{F. DeMara, Ronald and Platzner, Marco and Ottavi, Marco}},
  journal      = {{IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing}},
  title        = {{{Innovation in Reconfigurable Computing Fabrics: from Devices to Architectures (guest editorial)}}},
  doi          = {{10.1109/TETC.2016.2641599}},
  year         = {{2017}},
}

@article{10611,
  author       = {{Anwer, Jahanzeb and Platzner, Marco}},
  journal      = {{Microprocessors and Microsystems}},
  pages        = {{160--172}},
  publisher    = {{Elsevier}},
  title        = {{{Evaluating fault-tolerance of redundant FPGA structures using Boolean difference calculus}}},
  doi          = {{10.1016/j.micpro.2017.06.002}},
  year         = {{2017}},
}

@misc{10613,
  author       = {{Kaltschmidt, Christian}},
  publisher    = {{Paderborn University}},
  title        = {{{An AR-based Training and Assessment System for Myoelectrical Prosthetic Control}}},
  year         = {{2017}},
}

@inproceedings{10630,
  author       = {{Boschmann, Alexander and Thombansen, Georg and Witschen, Linus Matthias and Wiens, Alex and Platzner, Marco}},
  booktitle    = {{Design, Automation and Test in Europe (DATE)}},
  title        = {{{A Zynq-based dynamically reconfigurable high density myoelectric prosthesis controller}}},
  doi          = {{10.23919/DATE.2017.7927137}},
  year         = {{2017}},
}

@misc{10666,
  author       = {{Riaz, Umair}},
  publisher    = {{Paderborn University}},
  title        = {{{Acceleration of Industrial Analytics Functions on a Platform FPGA}}},
  year         = {{2017}},
}

@inproceedings{10672,
  author       = {{Ho, Nam and Ashraf, Ishraq Ibne and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{Proc. Design, Automation and Test in Europe Conf. (DATE)}},
  title        = {{{Accurate Private/Shared Classification of Memory Accesses: a Run-time Analysis System for the LEON3 Multi-core Processor}}},
  doi          = {{10.23919/DATE.2017.7927096}},
  year         = {{2017}},
}

@inproceedings{10676,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{2017 International Conference on Field Programmable Technology (ICFPT)}},
  keywords     = {{Linux, cache storage, microprocessor chips, multiprocessing systems, LEON3-Linux based multicore processor, MiBench suite, block sizes, cache adaptation, evolvable caches, memory-to-cache-index mapping function, processor caches, reconfigurable cache mapping optimization, reconfigurable hardware technology, replacement strategies, standard Linux OS, time a complete hardware implementation, Hardware, Indexes, Linux, Measurement, Multicore processing, Optimization, Training}},
  pages        = {{215--218}},
  title        = {{{Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor}}},
  doi          = {{10.1109/FPT.2017.8280144}},
  year         = {{2017}},
}

@article{10692,
  author       = {{Shen, Cong and Kaufmann, Paul and Braun, Martin}},
  journal      = {{Elsevier International Journal of Electrical Power and Energy Systems (IJEPES)}},
  title        = {{{Three-Stage Power System Restoration Methodology Considering Renewable Energies}}},
  year         = {{2017}},
}

@misc{10708,
  author       = {{Dietrich, Andreas}},
  publisher    = {{Paderborn University}},
  title        = {{{Reconfigurable Cryptographic Services}}},
  year         = {{2017}},
}

@misc{1073,
  author       = {{Nachtigall, Simon}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Sortieren dynamischer Daten}}},
  year         = {{2017}},
}

@misc{1074,
  author       = {{Pukrop, Simon}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Robuste Optimierung in Congestion Games}}},
  year         = {{2017}},
}

@article{10740,
  author       = {{Shen, Cong and Kaufmann, Paul and Braun, Martin}},
  journal      = {{The Journal of Engineering}},
  pages        = {{19pp}},
  title        = {{{Fast Network Restoration by Partitioning of Parallel Black Start Zones}}},
  doi          = {{10.1049/joe.2017.0032}},
  year         = {{2017}},
}

@book{10759,
  author       = {{Squillero, Giovanni and Burelli, Paolo and M. Mora, Antonio and Agapitos, Alexandros and S. Bush, William and Cagnoni, Stefano and Cotta, Carlos and De Falco, Ivanoe and Della Cioppa, Antonio and Divina, Federico and Eiben, A.E. and I. Esparcia-Alc{\'a}zar, Anna and Fern{\'a}ndez de Vega, Francisco and Glette, Kyrre and Haasdijk, Evert and Ignacio Hidalgo, J. and Kampouridis, Michael and Kaufmann, Paul and Mavrovouniotis, Michalis and Thanh Nguyen, Trung and Schaefer, Robert and Sim, Kevin and Tarantino, Ernesto and Urquhart, Neil and Zhang (editors), Mengjie}},
  publisher    = {{Springer}},
  title        = {{{Applications of Evolutionary Computation - 20th European Conference, EvoApplications}}},
  year         = {{2017}},
}

@inproceedings{10760,
  author       = {{Kaufmann, Paul and Kalkreuth, Roman}},
  booktitle    = {{KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Parametrizing Cartesian Genetic Programming: An Empirical Study}}},
  doi          = {{10.1007/978-3-319-67190-1_26}},
  year         = {{2017}},
}

@inproceedings{10761,
  author       = {{Kaufmann, Paul and Ho, Nam and Platzner, Marco}},
  booktitle    = {{Adaptive Hardware and Systems (AHS)}},
  publisher    = {{IEEE}},
  title        = {{{Evaluation Methodology for Complex Non-deterministic Functions: A Case Study in Metaheuristic Optimization of Caches}}},
  doi          = {{10.1109/AHS.2017.8046380}},
  year         = {{2017}},
}

@inproceedings{10762,
  author       = {{Kaufmann, Paul and Kalkreuth, Roman}},
  booktitle    = {{Genetic and Evolutionary Computation (GECCO), Compendium}},
  publisher    = {{ACM}},
  title        = {{{An Empirical Study on the Parametrization of Cartesian Genetic Programming}}},
  doi          = {{10.1145/3067695.3075980}},
  year         = {{2017}},
}

@inproceedings{10780,
  author       = {{Guettatfi, Zakarya and Hübner, Philipp and Platzner, Marco and Rinner, Bernhard}},
  booktitle    = {{12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)}},
  keywords     = {{embedded systems, image sensors, power aware computing, wireless sensor networks, Zynq-based VSN node prototype, computational self-awareness, design approach, platform levels, power consumption, visual sensor networks, visual sensor nodes, Cameras, Hardware, Middleware, Multicore processing, Operating systems, Runtime, Reconfigurable platforms, distributed embedded systems, performance-resource trade-off, self-awareness, visual sensor nodes}},
  pages        = {{1--8}},
  title        = {{{Computational self-awareness as design approach for visual sensor nodes}}},
  doi          = {{10.1109/ReCoSoC.2017.8016147}},
  year         = {{2017}},
}