@inproceedings{10633,
  author       = {{Boschmann, Alexander and Platzner, Marco}},
  booktitle    = {{Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC)}},
  title        = {{{Towards robust HD EMG pattern recognition: Reducing electrode displacement effect using structural similarity}}},
  year         = {{2014}},
}

@misc{10640,
  author       = {{Brand, Marcel}},
  publisher    = {{Paderborn University}},
  title        = {{{A Generalized Loop Accelerator Implemented as a Coarse-Grained Array}}},
  year         = {{2014}},
}

@misc{10645,
  author       = {{Damschen, Marvin}},
  publisher    = {{Paderborn University}},
  title        = {{{Easy-to-use-on-the-fly binary program acceleration on many-cores}}},
  year         = {{2014}},
}

@inproceedings{10654,
  author       = {{Glette, Kyrre and Kaufmann, Paul}},
  booktitle    = {{IEEE Congress on Evolutionary Computation (CEC)}},
  title        = {{{Lookup Table Partial Reconfiguration for an Evolvable Hardware Classifier System}}},
  year         = {{2014}},
}

@misc{10665,
  author       = {{Hagedorn, Christoph}},
  publisher    = {{Paderborn University}},
  title        = {{{Entwicklung einer codegrößenoptimierten Softwarebibliothek für 8-Bit Mikrocontroller in netzunabhängigen Notleuchten}}},
  year         = {{2014}},
}

@inproceedings{10674,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{24th Intl. Conf. on Field Programmable Logic and Applications (FPL)}},
  keywords     = {{Linux, hardware-software codesign, multiprocessing systems, parallel processing, LEON3 multicore platform, Linux kernel, PMU, hardware counters, hardware-software infrastructure, high performance embedded computing, perf_event, performance monitoring unit, Computer architecture, Hardware, Monitoring, Phasor measurement units, Radiation detectors, Registers, Software}},
  pages        = {{1--4}},
  title        = {{{A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms}}},
  doi          = {{10.1109/FPL.2014.6927437}},
  year         = {{2014}},
}

@inproceedings{10677,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{2014 {IEEE} Intl. Conf. on Evolvable Systems (ICES)}},
  keywords     = {{Linux, cache storage, embedded systems, granular computing, multiprocessing systems, reconfigurable architectures, Leon3 SPARe processor, custom logic events, evolvable-self-adaptable processor cache, fine granular profiling, integer unit events, measurement infrastructure, microarchitectural events, multicore embedded system, perf_event standard Linux performance measurement interface, processor properties, run-time reconfigurable memory-to-cache address mapping engine, run-time reconfigurable multicore infrastructure, split-level caching, Field programmable gate arrays, Frequency locked loops, Irrigation, Phasor measurement units, Registers, Weaving}},
  pages        = {{31--37}},
  title        = {{{Towards self-adaptive caches: A run-time reconfigurable multi-core infrastructure}}},
  doi          = {{10.1109/ICES.2014.7008719}},
  year         = {{2014}},
}

@misc{10679,
  author       = {{König, Fabian}},
  publisher    = {{Paderborn University}},
  title        = {{{EMG-basierte simultane und proportionale Online-Steuerung einer virtuellen Prothese}}},
  year         = {{2014}},
}

@misc{10701,
  author       = {{Koch, Benjamin}},
  publisher    = {{Paderborn University}},
  title        = {{{Hardware Acceleration of Mechatronic Controllers on a Zynq Platform FPGA}}},
  year         = {{2014}},
}

@misc{10715,
  author       = {{Mittendorf, Robert}},
  publisher    = {{Paderborn University}},
  title        = {{{Advanced AES-key recovery from decayed RAM using multi-threading and FPGAs}}},
  year         = {{2014}},
}

@misc{10732,
  author       = {{Rüthing, Christoph}},
  publisher    = {{Paderborn University}},
  title        = {{{The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores}}},
  year         = {{2014}},
}

@phdthesis{10733,
  abstract     = {{Monte-Carlo Tree Search (MCTS) is a class of simulation-based search algorithms. It brought about great success in the past few years regarding the evaluation of deterministic two-player games such as the Asian board game Go.

In this thesis, we present a parallelization of the most popular MCTS variant for large HPC compute clusters that efficiently shares a single game tree representation in a distributed memory environment and scales up to 128 compute nodes and 2048 cores. It is hereby one of the most powerful MCTS parallelizations to date.

In order to measure the impact of our parallelization on the search quality and remain comparable to the most advanced MCTS implementations to date, we implemented it in a state-of-the-art Go engine Gomorra, making it competitive with the strongest Go programs in the world.

We further present an empirical comparison of different Bayesian ranking systems when being used for predicting expert moves for the game of Go and introduce a novel technique for automated detection and analysis of evaluation uncertainties that show up during MCTS searches.}},
  author       = {{Schäfers, Lars}},
  isbn         = {{978-3-8325-3748-7}},
  pages        = {{133}},
  publisher    = {{Logos Verlag Berlin GmbH}},
  title        = {{{Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go}}},
  year         = {{2014}},
}

@inproceedings{10738,
  author       = {{Shen, Cong and Kaufmann, Paul and Braun, Martin}},
  booktitle    = {{IEEE Power and Energy Society General Meeting (IEEE GM)}},
  title        = {{{Optimizing the Generator Start-up Sequence After a Power System Blackout}}},
  year         = {{2014}},
}

@inproceedings{10739,
  author       = {{Shen, Cong and Kaufmann, Paul and Braun, Martin}},
  booktitle    = {{Power Systems Computation Conference (PSCC)}},
  publisher    = {{IEEE}},
  title        = {{{A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm}}},
  year         = {{2014}},
}

@misc{10744,
  author       = {{Surmund, Sebastian}},
  publisher    = {{Paderborn University}},
  title        = {{{Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA}}},
  year         = {{2014}},
}

@book{10756,
  author       = {{I. Esparcia-Alc{\'a}zar, Anna and Eiben, A.E. and Agapitos, Alexandros and Sim{\~o}es, Anabela and G.B. Tettamanzi, Andrea and Della Cioppa, Antonio and M. Mora, Antonio and Cotta, Carlos and Tarantino, Ernesto and Haasdijk, Evert and Divina, Federico and Fern{\'a}ndez de Vega, Francisco and Squillero, Giovanni and De Falco, Ivanoe and Ignacio Hidalgo, J. and Sim, Kevin and Glette, Kyrre and Zhang, Mengjie and Urquhart, Neil and Burelli, Paolo and Kaufmann, Paul and Po{\v s}{\'\i}k, Petr and Schaefer, Robert and Drechsler, Rolf and Antipolis, Sophia and Cagnoni, Stefano and Thanh Nguyen, Trung and S. Bush (editors), William}},
  publisher    = {{Springer}},
  title        = {{{Applications of Evolutionary Computation - 17th European Conference, EvoApplications}}},
  volume       = {{8602}},
  year         = {{2014}},
}

@inproceedings{10764,
  author       = {{Anwer, Jahanzeb and Platzner, Marco}},
  booktitle    = {{IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)}},
  pages        = {{177--184}},
  publisher    = {{IEEE}},
  title        = {{{Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs}}},
  doi          = {{10.1109/DFT.2014.6962108}},
  year         = {{2014}},
}

@inproceedings{10773,
  author       = {{Ghasemzadeh Mohammadi, Hassan and Gaillardon, Pierre-Emmanuel and Yazdani, Majid and De Micheli, Giovanni}},
  booktitle    = {{2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)}},
  pages        = {{163--168}},
  publisher    = {{IEEE}},
  title        = {{{Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection}}},
  doi          = {{10.1109/NANOARCH.2014.6880479}},
  year         = {{2014}},
}

@inproceedings{11746,
  abstract     = {{ "A method for nonstationary noise robust automatic speech recognition (ASR) is to first estimate the changing noise statistics and second clean up the features prior to recognition accordingly. Here, the first is accomplished by noise tracking in the spectral domain, while the second relies on Bayesian enhancement in the feature domain. In this way we take advantage of our recently proposed maximum a-posteriori based (MAP-B) noise power spectral density estimation algorithm, which is able to estimate the noise statistics even in time-frequency bins dominated by speech. We show that MAP-B noise tracking leads to an improved noise model estimate in the feature domain compared to estimating noise in speech absence periods only, if the bias resulting from the nonlinear transformation from the spectral to the feature domain is accounted for. Consequently, ASR results are improved, as is shown by experiments conducted on the Aurora IV database." }},
  author       = {{Chinaev, Aleksej and Puels, Marc and Haeb-Umbach, Reinhold}},
  booktitle    = {{11. ITG Fachtagung Sprachkommunikation (ITG 2014)}},
  title        = {{{Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR}}},
  year         = {{2014}},
}

@inproceedings{11752,
  abstract     = {{ "In this contribution we derive a variational EM (VEM) algorithm for model selection in complex Watson mixture models, which have been recently proposed as a model of the distribution of normalized microphone array signals in the short-time Fourier transform domain. The VEM algorithm is applied to count the number of active sources in a speech mixture by iteratively estimating the mode vectors of the Watson distributions and suppressing the signals from the corresponding directions. A key theoretical contribution is the derivation of the MMSE estimate of a quadratic form involving the mode vector of the Watson distribution. The experimental results demonstrate the effectiveness of the source counting approach at moderately low SNR. It is further shown that the VEM algorithm is more robust w.r.t. used threshold values." }},
  author       = {{Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}},
  booktitle    = {{39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)}},
  title        = {{{Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models}}},
  year         = {{2014}},
}