T. Isenberg, Induction-based Verification of Timed Systems. Universität Paderborn, 2016.
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T. Menne et al., “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation,” in Computer Speech and Language, 2016.
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O. Walter and R. Haeb-Umbach, “Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models,” in 38th German Conference on Pattern Recognition (GCPR 2016), 2016.
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J. Blobel, C. Sommer, and F. Dressler, “Protocol options for low power sensor network MAC using wake-up receivers with duty cycling,” in 2016 IEEE International Conference on Communications (ICC), 2016.
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C. Campolo, C. Sommer, F. Dressler, and A. Molinaro, “On the impact of adjacent channel interference in multi-channel VANETs,” in 2016 IEEE International Conference on Communications (ICC), 2016.
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C. Campolo, L. Cheng, C. Sommer, and H.-M. (Michael) Tsai, “Special Issue on Multi-radio, Multi-technology, Multi-system Vehicular Communications,” Computer Communications, pp. 1–2, 2016.
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F. Hagenauer, C. Sommer, S. Merschjohann, T. Higuchi, F. Dressler, and O. Altintas, “Cars as the base for service discovery and provision in highly dynamic networks,” in 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016.
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F. Hagenauer, C. Sommer, R. Onishi, M. Wilhelm, F. Dressler, and O. Altintas, “Interconnecting smart cities by vehicles: How feasible is it?,” in 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016.
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F. Hagenauer, F. Dressler, O. Altintas, and C. Sommer, “Cars as a main ICT resource of smart cities,” in Smart Cities and Homes, 2016.
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F. Klingler, F. Dressler, and C. Sommer, “IEEE 802.11p unicast considered harmful,” in 2015 IEEE Vehicular Networking Conference (VNC), 2016.
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A. Memedi, F. Hagenauer, F. Dressler, and C. Sommer, “Cluster-based transmit power control in heterogeneous vehicular networks,” in 2015 IEEE Vehicular Networking Conference (VNC), 2016.
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P. R. Lewis, M. Platzner, B. Rinner, J. Tørresen, and X. Yao, Eds., Self-aware Computing Systems: An Engineering Approach. Cham: Springer, 2016.
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M. Kampmann and S. Hellebrand, “X Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test,” in 25th IEEE Asian Test Symposium (ATS’16), 2016, pp. 1–6.
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A. Cord-Landwehr, Selfish Network Creation - On Variants of Network Creation Games, vol. 353. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2016.
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C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models  in multi-criteria preference learning,” in in Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in in Proceedings DPL16 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
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I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in in Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy superset losses,” in in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, 2016, pp. 1–8.
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D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
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G. Domik, “A data visualization course at the university of paderborn,” in Pedagogy Data Visualization, IEEE VIS Workshop, 2016.
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R. Gmyr, J. Lefèvre, and C. Scheideler, “Self-stabilizing Metric Graphs,” in Proceedings of the 18th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), 2016, pp. 248--262.
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J. König, A. Mäcker, F. Meyer auf der Heide, and S. Riechers, “Scheduling with Interjob Communication on Parallel Processors,” in Proceedings of the 10th Annual International Conference on Combinatorial Optimization and Applications (COCOA), 2016, pp. 563--577.
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A. Boschmann, A. Agne, L. M. Witschen, G. Thombansen, F. Kraus, and M. Platzner, “FPGA-based acceleration of high density myoelectric signal processing,” in 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), Mexiko City, Mexiko, 2016.
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T. Harks, M. Höfer, K. Schewior, and A. Skopalik, “Routing Games With Progressive Filling,” IEEE/ACM Transactions on Networking, no. 4, pp. 2553–2562, 2016.
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J. Hamm, Symmetric Anonymous Credentials with Protocols for Relations on Attributes. Universität Paderborn, 2016.
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W.-F. Chen and L.-W. Ku, “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, pp. 1635–1645.
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W.-F. Chen, F.-Y. Lin, and L.-W. Ku, “WordForce: Visualizing Controversial Words in Debates,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, 2016, pp. 273–277.
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L.-W. Ku and W.-F. Chen, “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.
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M. Drees, B. Feldkord, and A. Skopalik, “Strategic Online Facility Location,” in Proceedings of the 10th Annual International Conference on Combinatorial Optimization and Applications (COCOA), 2016, pp. 593--607.
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S. Arifulina, Solving Heterogeneity for a Successful Service Market. Universität Paderborn, 2016.
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A. Dunst, R. Hartel, S. Hohenstein, and J. Laubrock, “Corpus Analyses of Multimodal Narrative: The Example of Graphic Novels,” in Digital Humanities 2016, DH 2016, Conference Abstracts, 2016, pp. 178–180.
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S. Böttcher, R. Hartel, T. Jacobs, and S. Maneth, “Incremental updates on compressed XML,” in 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2016, pp. 1026–1037.
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K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “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, 2016, pp. 450–461.
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N. Feldmann, F. Bause, and B. Henning, GUM-konforme Unsicherheitsabschätzung bei inversen Problemen am Beispiel akustischer Transmissionsmessungen. 2016.
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A. Dunst and R. Hartel, “Die Corpusanalyse multimodaler Erzählungen am Beispiel graphischer Romane,” in DHd-Tagung 2015, Modellierung - Vernetzung - Visualisierung, Die Digital Humanities als fächerübergreifendes Forschungsparadigma, 2016.
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F. Dallmeier, Short Randomizable Aggregatable Signatures: Constructions and Security Analysis. Universität Paderborn, 2016.
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L. van Rooijen and H. Hamann, “Requirements Specification-by-Example Using a Multi-Objective Evolutionary Algorithm,” in Proceedings of 24th IEEE International Requirements Engineering Conference (RE 2016), 2016, pp. 3--9.
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M. Leinweber et al., “CavSimBase: A database for large scale comparison of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, pp. 1423–1434, 2016.
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T. Kenter, Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn, 2016.
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G. Zhang, Program Slicing: A Way of Separating WHILE Programs into Precise and Approximate Portions. Universität Paderborn, 2016.
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P. A. A. Gutierrez et al., “NetIDE: All-in-one framework for next generation, composed SDN applications,” in 2016 IEEE NetSoft Conference and Workshops (NetSoft), 2016.
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F. Dressler and F. Meyer auf der Heide, Eds., Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc). ACM, 2016.
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A. Marsico, R. Doriguzzi-Corin, M. Gerola, D. Siracusa, and A. Schwabe, “A non-disruptive automated approach to update SDN applications at runtime,” in NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016.
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R. Doriguzzi-Corin, D. Siracusa, E. Salvador, and A. Schwabe, “Empowering network operating systems with memory management techniques,” in NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016.
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M. Fischer, C. Jähn, F. Meyer auf der Heide, and R. Petring, “Algorithm Engineering Aspects of Real-Time Rendering Algorithms,” in Algorithm Engineering, 2016, vol. 9220, pp. 226–244.
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S. Li, F. Meyer auf der Heide, and P. Podlipyan, “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), 2016.
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A. Cord-Landwehr, M. Fischer, D. Jung, and F. Meyer auf der Heide, “Asymptotically Optimal Gathering on a Grid,” in Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2016, pp. 301–312.
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S. Abshoff, A. Cord-Landwehr, M. Fischer, D. Jung, and F. Meyer auf der Heide, “Gathering a Closed Chain of Robots on a Grid,” in Proceedings of the 30th International Parallel and Distributed Processing Symposium (IPDPS), 2016, pp. 689–699.
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A. Macker, M. Malatyali, and F. Meyer auf der Heide, “On Competitive Algorithms for Approximations of Top-k-Position Monitoring of Distributed Streams,” in 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016.
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A. Mäcker, M. Malatyali, F. Meyer auf der Heide, and S. Riechers, “Cost-efficient Scheduling on Machines from the Cloud,” arXiv:1609.01184. 2016.
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M. Czech, Predicting Rankings of Software Verification Tools Using Kernels for Structured Data. Universität Paderborn, 2016.
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F. Bause, Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung viskoelastischer Materialparameter von Polymeren. Universität Paderborn, 2016.
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S. Olfert and B. Henning, Anwendungsm\'22oglichkeiten der Schallfeldvisualisierung in der Ultraschallmesstechnik. LibreCat University, 20AD.
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F. Bause and B. Henning, “.3.1 - Ein ultraschallbasiertes inverses Messverfahren zur Charakterisierung viskoelastischer Materialparameter von Polymeren,” 2016.
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S. Ester, M. Struschka, and B. Henning, “.2.3 - Direktgravimetrischer Partikelmasse-Sensor zur quasikontinuierlichen Emissionsmessung,” 2016.
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S. Abshoff, P. Kling, C. Markarian, F. Meyer auf der Heide, and P. Pietrzyk, “Towards the price of leasing online,” Journal of Combinatorial Optimization, no. 4, pp. 1197--1216, 2016.
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A. Jungmann, Towards On-The-Fly Image Processing. Universität Paderborn, 2016.
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F. Mohr, Towards Automated Service Composition Under Quality Constraints. Universität Paderborn, 2016.
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C. Scheideler, A. Setzer, and T. F. Strothmann, “Towards a Universal Approach for Monotonic Searchability in Self-stabilizing Overlay Networks,” in Proceedings of the 30th International Symposium on Distributed Computing (DISC), 2016, pp. 71--84.
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F. N. Abu-Khzam, S. Li, C. Markarian, F. Meyer auf der Heide, and P. Podlipyan, “The Monotone Circuit Value Problem with Bounded Genus Is in NC,” in Proceedings of the 22nd International Conference on Computing and Combinatorics (COCOON), 2016, pp. 92–102.
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M. Feldotto and K. Graffi, “Systematic evaluation of peer-to-peer systems using PeerfactSim.KOM,” Concurrency and Computation: Practice and Experience, vol. 28, no. 5, pp. 1655–1677, 2016.
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T. Graf and M. Platzner, “Using Deep Convolutional Neural Networks in Monte Carlo Tree Search,” in Computer and Games, 2016.
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T. Graf and M. Platzner, “Monte-Carlo Simulation Balancing Revisited,” in IEEE Computational Intelligence and Games, 2016.
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T. Wiersema and M. Platzner, “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, pp. 1--8.
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E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “An Approach to Non-Destructive Testing of Aged Polymers,” presented at the 32nd International Conference of the Polymer Processing Society, Lyon, 2016.
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E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Molekularen Schäden auf der Spur,” Kunststoffe, no. 4, pp. 94–96, 2016.
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E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Detecting Molecular Damage,” Kunststoffe International, no. 4, pp. 43–45, 2016.
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E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Non-destructive characterization of hygrothermally aged polymers,” presented at the ANTEC 2016, Indianapolis, 2016.
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E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Ultraschallbasierte Charakterisierung von gealterten Polymeren,” in Jahresmagazin Kunststofftechnik 2016, Institut für Wissenschaftliche Veröffentlichungen, Ed. 2016, pp. 2–7.
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M. Webersen, M. Hüttner, F. Bause, E. Moritzer, and B. Henning, “Zerstörungsfreie Charakterisierung des hydrothermischen Alterungsverhaltens von Polymeren,” presented at the 18. GMA/ITG-Fachtagung Sensoren und Messsysteme 2016, Nürnberg, 2016, pp. 683–688.
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M. Dewender, Verifikation von Service Kompositionen mit Spin. Universität Paderborn, 2016.
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P. Heinisch, Verifikation von Service Kompositionen mit Prolog. Universität Paderborn, 2016.
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M. Eikel, Insider-resistent Distributed Storage Systems. Universität Paderborn, 2016.
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J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016.
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F. Hoffmann, E. Hüllermeier, and R. Mikut, Eds.,  Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. 2016.
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K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, and E. Hüllermeier, “Extreme F-measure maximization using sparse probability estimates ,” in Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.
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V. Melnikov and E. Hüllermeier, “Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016,” in European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp. 756–771.
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K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, and E. Hüllermeier, “Consistency of probalistic classifier trees,” in In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp. 511–526.
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A. Shabani, A. Paul, R. Platon, and E. Hüllermeier, “Predicting the electricity consumption of buildings: An improved CBR approach,” in In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–369.
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K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “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, 2016, pp. 450–461.
LibreCat: /record/10226

C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the Identifiability of models in multi-criteria preference learning ,” in Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
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D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
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I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.
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S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy supersets losses,” in Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, 2016, pp. 1–8.
LibreCat: /record/10230

D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
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G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.
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M. Leinweber et al., “CavSimBase: A database for large scale comparison of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, pp. 1423–1434, 2016.
LibreCat: /record/10264

M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification,” BioData Mining, vol. 9, no. 10, 2016.
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M. Herlich, N. Bredenbals, and H. Karl, “Delayed (de-)activation in servers with a sleep mode,” Sustainable Computing: Informatics and Systems, vol. 10, pp. 48–55, 2016.
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P. Adelt, B. Koppelmann, W. Müller, M. Becker, B. Kleinjohann, and C. Scheytt, “Fast Dynamic Fault Injection for Virtual Microcontroller Platforms,”10.1109/VLSI-SoC.2016.7753545__2016, doi:10.1109/VLSI-SoC.2016.7753545 .
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Y. Mao, K. Schmalz, C. Scheytt, and E. Shiju, “An all-transmission-line 220 GHz differential LNA in SiGe BiCMOS,”10.1109/RFIT.2016.7578132__2016, doi:10.1109/RFIT.2016.7578132 .
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S. Abughannam, L. Wu, W. Müller, C. Scheytt, W. Ecker, and C. Novello, “Fault Injection and Mixed-Level Simulation for Analog Circuits - A Case Study,” 2016.
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F. Nava, D. Genschow, and C. Scheytt, “Obstacle detection using a miniaturized radar sensor operating at 120GHz ISM band,” 2016.
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A. R. Javed, C. Scheytt, and U. Von der Ahe, “Linear ultra-broadband NPN-only analog correlator at 33 Gbps in 130nm SiGe BiCMOS technology,” 10.1109/BCTM.2016.7738962__2016, doi: 10.1109/BCTM.2016.7738962 .
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J. Jatzkowski, P. Adelt, and A. Rettberg, “Hierarchical Scheduling for Plug-and-Produce,” 10.1016/j.protcy.2016.08.031__in 3rd International Conference on System-integrated Intelligence: New Challenges for Product and Production Engineering, 2016, pp. 227–234, doi: 10.1016/j.protcy.2016.08.031 .
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F. Nava, C. Scheytt, T. Zwick, M. Pauli, B. Goettel, and W. Winkler, “Ultra-compact 122GHz Radar Sensor for Autonomous Aircrafts,” 10.1016/j.protcy.2016.08.051__2016, doi: 10.1016/j.protcy.2016.08.051 .
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J. Böcker, “Some reflections on electromagnetic force in matter,”10.1109/speedam.2016.7525880__presented at the SPEEDAM, Capri, Italy, 2016, doi:10.1109/speedam.2016.7525880 .
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K. S. C. Stille and J. Böcker, “Local demand response and load planning system for intelligent domestic appliances,”10.1109/icrera.2015.7418638__2016, doi:10.1109/icrera.2015.7418638 .
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K. S. C. Stille, J. Böcker, N. Fröhleke, R. Bettentrup, and I. Kaiser, “Integration of home photovoltaic generation into electricity tariff for load optimization,”10.1109/sgcf.2016.7492441__2016, doi:10.1109/sgcf.2016.7492441 .
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K. S. C. Stille, J. Böcker, N. Fröhleke, R. Bettentrup, and I. Kaiser, “Local grid load coordination for load-shiftable domestic appliances in a variable-tariff environment,”10.1109/epe.2016.7695583__2016, doi:10.1109/epe.2016.7695583 .
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