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.

Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds. Encyclopedia of Machine Learning and Data Mining. Springer; 2016.

Handirk T. Über die Rolle von Informationen in Verkehrsnetzwerken. Universität Paderborn; 2016.

Chinaev A, Haeb-Umbach R. A Priori SNR Estimation Using a Generalized Decision Directed Approach. In: INTERSPEECH 2016, San Francisco, USA. ; 2016.

Chinaev A, Heitkaemper J, Haeb-Umbach R. A Priori SNR Estimation Using Weibull Mixture Model. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.

Chinaev A, Heymann J, Drude L, Haeb-Umbach R. Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.

Drude L, Boeddeker C, Haeb-Umbach R. Blind Speech Separation based on Complex Spherical k-Mode Clustering. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2016.

Drude L, Raj B, Haeb-Umbach R. On the appropriateness of complex-valued neural networks for speech enhancement. In: INTERSPEECH 2016, San Francisco, USA. ; 2016.

Glarner T, Mahdi Momenzadeh M, Drude L, Haeb-Umbach R. Factor Graph Decoding for Speech Presence Probability Estimation. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.

Heymann J, Drude L, Haeb-Umbach R. Neural Network Based Spectral Mask Estimation for Acoustic Beamforming. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2016.

Jacob F, Haeb-Umbach R. On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.

Heymann J, Drude L, Haeb-Umbach R. Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In: Computer Speech and Language. ; 2016.

Kinoshita K, Delcroix M, Gannot S, et al. A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing. 2016.

Plinge A, Jacob F, Haeb-Umbach R, Fink GA. Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Processing Magazine. 2016;33(4):14-29. doi:10.1109/MSP.2016.2555198

Isenberg T. Induction-Based Verification of Timed Systems. Universität Paderborn; 2016.

Menne T, Heymann J, Alexandridis A, et al. The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In: Computer Speech and Language. ; 2016.

Walter O, Haeb-Umbach R. Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In: 38th German Conference on Pattern Recognition (GCPR 2016). ; 2016.

Blobel J, Sommer C, Dressler F. Protocol options for low power sensor network MAC using wake-up receivers with duty cycling. In: 2016 IEEE International Conference on Communications (ICC). ; 2016. doi:10.1109/icc.2016.7511318

Campolo C, Sommer C, Dressler F, Molinaro A. On the impact of adjacent channel interference in multi-channel VANETs. In: 2016 IEEE International Conference on Communications (ICC). ; 2016. doi:10.1109/icc.2016.7511085

Campolo C, Cheng L, Sommer C, (Michael) Tsai H-M. Special Issue on Multi-radio, Multi-technology, Multi-system Vehicular Communications. Computer Communications. 2016:1-2. doi:10.1016/j.comcom.2016.09.003

Hagenauer F, Sommer C, Merschjohann S, Higuchi T, Dressler F, Altintas O. Cars as the base for service discovery and provision in highly dynamic networks. In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). ; 2016. doi:10.1109/infcomw.2016.7562101

Hagenauer F, Sommer C, Onishi R, Wilhelm M, Dressler F, Altintas O. Interconnecting smart cities by vehicles: How feasible is it? In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). ; 2016. doi:10.1109/infcomw.2016.7562184

Hagenauer F, Dressler F, Altintas O, Sommer C. Cars as a main ICT resource of smart cities. In: Smart Cities and Homes. ; 2016. doi:10.1016/b978-0-12-803454-5.00007-9

Klingler F, Dressler F, Sommer C. IEEE 802.11p unicast considered harmful. In: 2015 IEEE Vehicular Networking Conference (VNC). ; 2016. doi:10.1109/vnc.2015.7385550

Memedi A, Hagenauer F, Dressler F, Sommer C. Cluster-based transmit power control in heterogeneous vehicular networks. In: 2015 IEEE Vehicular Networking Conference (VNC). ; 2016. doi:10.1109/vnc.2015.7385547

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

Kampmann M, Hellebrand S. X Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test. In: 25th IEEE Asian Test Symposium (ATS’16). Hiroshima, Japan: IEEE; 2016:1-6. doi:10.1109/ats.2016.20

Cord-Landwehr A. Selfish Network Creation - On Variants of Network Creation Games. Vol 353. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn; 2016.

Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the identifiability of models  in multi-criteria preference learning. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany. ; 2016.

Schäfer D, Hüllermeier E. Preference -based reinforcement learning using dyad ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DPL16 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany. ; 2016.

Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany. ; 2016.

Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy superset losses. In: Hüllermeier E, Hoffmann F, Mikut R, eds. In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2016:1-8.

Schäfer D, Hüllermeier E. Plackett-Luce networks for dyad ranking. In: In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany. ; 2016.

Domik G. A data visualization course at the university of paderborn. In: Pedagogy Data Visualization, IEEE VIS Workshop. Baltimore; 2016.

Gmyr R, Lefèvre J, Scheideler C. Self-stabilizing Metric Graphs. In: Proceedings of the 18th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS). LNCS. ; 2016:248--262. doi:10.1007/978-3-319-49259-9_20

König J, Mäcker A, Meyer auf der Heide F, Riechers S. Scheduling with Interjob Communication on Parallel Processors. In: Proceedings of the 10th Annual International Conference on Combinatorial Optimization and Applications (COCOA). LNCS. ; 2016:563--577. doi:10.1007/978-3-319-48749-6_41

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

Harks T, Höfer M, Schewior K, Skopalik A. Routing Games With Progressive Filling. IEEE/ACM Transactions on Networking. 2016;(4):2553-2562. doi:10.1109/TNET.2015.2468571

Hamm J. Symmetric Anonymous Credentials with Protocols for Relations on Attributes. Universität Paderborn; 2016.

Chen W-F, Ku L-W. UTCNN: a Deep Learning Model of Stance Classification on Social Media Text. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics. ; 2016:1635-1645.

Chen W-F, Lin F-Y, Ku L-W. WordForce: Visualizing Controversial Words in Debates. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations. ; 2016:273-277.

Ku L-W, Chen W-F. Chinese Textual Sentiment Analysis: Datasets, Resources and Tools. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts. ; 2016:5-8.

Drees M, Feldkord B, Skopalik A. Strategic Online Facility Location. In: Proceedings of the 10th Annual International Conference on Combinatorial Optimization and Applications (COCOA). LNCS. ; 2016:593--607. doi:10.1007/978-3-319-48749-6_43

Arifulina S. Solving Heterogeneity for a Successful Service Market. Universität Paderborn; 2016. doi:10.17619/UNIPB/1-13

Dunst A, Hartel R, Hohenstein S, Laubrock J. Corpus Analyses of Multimodal Narrative: The Example of Graphic Novels. In: Digital Humanities 2016, DH 2016, Conference Abstracts. ; 2016:178-180.

Böttcher S, Hartel R, Jacobs T, Maneth S. Incremental updates on compressed XML. In: 2016 IEEE 32nd International Conference on Data Engineering (ICDE). IEEE; 2016:1026-1037. doi:10.1109/icde.2016.7498310

Pfannschmidt K, Hüllermeier E, Held S, Neiger R. Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands. Springer; 2016:450-461.

Feldmann N, Bause F, Henning B. GUM-konforme Unsicherheitsabschätzung bei inversen Problemen am Beispiel akustischer Transmissionsmessungen.; 2016.

Dunst A, Hartel R. Die Corpusanalyse multimodaler Erzählungen am Beispiel graphischer Romane. In: DHd-Tagung 2015, Modellierung - Vernetzung - Visualisierung, Die Digital Humanities Als Fächerübergreifendes Forschungsparadigma. ; 2016.

Dallmeier F. Short Randomizable Aggregatable Signatures: Constructions and Security Analysis. Universität Paderborn; 2016.

van Rooijen L, Hamann H. Requirements Specification-by-Example Using a Multi-Objective Evolutionary Algorithm. In: Proceedings of 24th IEEE International Requirements Engineering Conference (RE 2016). ; 2016:3--9. doi:10.1109/REW.2016.015

Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering. 2016;28(6):1423-1434.

Kenter T. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn; 2016.

Zhang G. Program Slicing: A Way of Separating WHILE Programs into Precise and Approximate Portions. Universität Paderborn; 2016.

Gutierrez PAA, Rojas E, Schwabe A, et al. NetIDE: All-in-one framework for next generation, composed SDN applications. In: 2016 IEEE NetSoft Conference and Workshops (NetSoft). IEEE; 2016. doi:10.1109/netsoft.2016.7502408

Dressler F, Meyer auf der Heide F, eds. Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc). ACM; 2016. doi:10.1145/2942358

Marsico A, Doriguzzi-Corin R, Gerola M, Siracusa D, Schwabe A. A non-disruptive automated approach to update SDN applications at runtime. In: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium. IEEE; 2016. doi:10.1109/noms.2016.7502946

Doriguzzi-Corin R, Siracusa D, Salvador E, Schwabe A. Empowering network operating systems with memory management techniques. In: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium. IEEE; 2016. doi:10.1109/noms.2016.7502889

Fischer M, Jähn C, Meyer auf der Heide F, Petring R. Algorithm Engineering Aspects of Real-Time Rendering Algorithms. In: Kliemann L, Sanders P, eds. Algorithm Engineering. Vol 9220. LNCS. Springer; 2016:226-244. doi:10.1007/978-3-319-49487-6_7 

Li S, Meyer auf der Heide F, Podlipyan P. The impact of the Gabriel subgraph of the visibility graph on the gathering of mobile autonomous robots. In: Algorithms for Sensor Systems, Proceedings of the 12th International Symposium on Algorithms and Experiments for Wireless Sensor Networks (ALGOSENSORS). Springer; 2016. doi:10.1007/978-3-319-53058-1_5 

Cord-Landwehr A, Fischer M, Jung D, Meyer auf der Heide F. Asymptotically Optimal Gathering on a Grid. In: Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA). ACM; 2016:301-312. doi:10.1145/2935764.2935789

Abshoff S, Cord-Landwehr A, Fischer M, Jung D, Meyer auf der Heide F. Gathering a Closed Chain of Robots on a Grid. In: Proceedings of the 30th International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2016:689-699. doi:10.1109/IPDPS.2016.51

Macker A, Malatyali M, Meyer auf der Heide F. On Competitive Algorithms for Approximations of Top-k-Position Monitoring of Distributed Streams. In: 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS). ; 2016. doi:10.1109/ipdps.2016.91

Mäcker A, Malatyali M, Meyer auf der Heide F, Riechers S. Cost-efficient Scheduling on Machines from the Cloud. arXiv:160901184. 2016.

Czech M. Predicting Rankings of Software Verification Tools Using Kernels for Structured Data. Universität Paderborn; 2016.

Bause F. Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung Viskoelastischer Materialparameter von Polymeren. Universität Paderborn; 2016.

Olfert S, Henning B. Anwendungsm\'22oglichkeiten Der Schallfeldvisualisierung in Der Ultraschallmesstechnik. LibreCat University; 20AD.

Bause F, Henning B. 5.3.1 - Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung viskoelastischer Materialparameter von Polymeren. In: LibreCat University; 2016. doi:10.5162/SENSOREN2016/5.3.1

Ester S, Struschka M, Henning B. 3.2.3 - Direktgravimetrischer Partikelmasse-Sensor zur quasikontinuierlichen Emissionsmessung. In: LibreCat University; 2016. doi:10.5162/SENSOREN2016/3.2.3

Abshoff S, Kling P, Markarian C, Meyer auf der Heide F, Pietrzyk P. Towards the price of leasing online. Journal of Combinatorial Optimization. 2016;(4):1197--1216. doi:10.1007/s10878-015-9915-5

Jungmann A. Towards On-The-Fly Image Processing. Universität Paderborn; 2016.

Mohr F. Towards Automated Service Composition Under Quality Constraints. Universität Paderborn; 2016. doi:10.17619/UNIPB/1-171

Scheideler C, Setzer A, Strothmann TF. Towards a Universal Approach for Monotonic Searchability in Self-stabilizing Overlay Networks. In: Proceedings of the 30th International Symposium on Distributed Computing (DISC). LNCS. ; 2016:71--84. doi:10.1007/978-3-662-53426-7_6

Abu-Khzam FN, Li S, Markarian C, Meyer auf der Heide F, Podlipyan P. The Monotone Circuit Value Problem with Bounded Genus Is in NC. In: Proceedings of the 22nd International Conference on Computing and Combinatorics (COCOON). LNCS. ; 2016:92-102. doi:10.1007/978-3-319-42634-1_8

Feldotto M, Graffi K. Systematic evaluation of peer-to-peer systems using PeerfactSim.KOM. Concurrency and Computation: Practice and Experience. 2016;28(5):1655-1677. doi:10.1002/cpe.3716

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

Moritzer E, Hüttner M, Henning B, Webersen M. An Approach to Non-Destructive Testing of Aged Polymers. In: The Polymer Processing Society, ed. ; 2016.

Moritzer E, Hüttner M, Henning B, Webersen M. Molekularen Schäden auf der Spur. Kunststoffe. 2016;(4):94-96.

Moritzer E, Hüttner M, Henning B, Webersen M. Detecting Molecular Damage. Kunststoffe International. 2016;(4):43-45.

Moritzer E, Hüttner M, Henning B, Webersen M. Non-destructive characterization of hygrothermally aged polymers. In: Society of Plastics Engineers, ed. ; 2016.

Moritzer E, Hüttner M, Henning B, Webersen M. Ultraschallbasierte Charakterisierung von gealterten Polymeren. In: Institut für Wissenschaftliche Veröffentlichungen, ed. Jahresmagazin Kunststofftechnik 2016. ; 2016:2-7.

Webersen M, Hüttner M, Bause F, Moritzer E, Henning B. Zerstörungsfreie Charakterisierung des hydrothermischen Alterungsverhaltens von Polymeren. In: AMA Service GmbH, ed. ; 2016:683-688. doi:10.5162/sensoren2016/P6.4

Dewender M. Verifikation von Service Kompositionen mit Spin. Universität Paderborn; 2016.

Heinisch P. Verifikation von Service Kompositionen mit Prolog. Universität Paderborn; 2016.

Eikel M. Insider-Resistent Distributed Storage Systems. Universität Paderborn; 2016.

Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds. Encyclopedia of Machine Learning and Data Mining. Springer; 2016.