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9652 Publications


2019 | Journal Article | LibreCat-ID: 13237
Elgabarty, Hossam, Naveen Kumar Kaliannan, and Thomas D. Kühne. “Enhancement of the Asymmetry in the Hydrogen Bond Network of Liquid Water by an Ultrafast Electric Field Pulse.” Scientific Reports 9 (2019): 10002. https://doi.org/10.1038/s41598-019-46449-5.
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2019 | Conference Paper | LibreCat-ID: 13250
Ansótegui, Carlos, Britta Heymann, Josep Pon, Meinolf Sellmann, and Kevin Tierney. “Hyper-Reactive Tabu Search for MaxSAT.” In Learning and Intelligent Optimization, 309–25. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-05348-2_27.
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2019 | Conference Paper | LibreCat-ID: 13261
Wolters, Dennis, Jonas Kirchhoff, and Gregor Engels. “Specifying Web Interfaces for Command-Line Applications Based on OpenAPI.” In Service-Oriented Computing – ICSOC 2019 Workshops, edited by Sami Yangui, Athman Bouguettaya, Xiao Xue, Noura Faci, Walid Gaaloul, Qi Yu, Zhangbing Zhou, Nathalie Hernandez, and Elisa Y. Nakagawa, 12019:30–41. LNCS. Springer, 2019. https://doi.org/10.1007/978-3-030-45989-5\_3.
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2019 | Conference Paper | LibreCat-ID: 13271 | OA
Neumann, Thilo von, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” In ICASSP 2019, Brighton, UK, 2019.
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2019 | Bachelorsthesis | LibreCat-ID: 13435
Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn, 2019.
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2019 | Book Chapter | LibreCat-ID: 13436
Camberg, Alan Adam, Ina Stratmann, and Thomas Tröster. “TAILORED STACKED HYBRIDS – AN OPTIMIZATION-BASED APPROACH IN MATERIAL DESIGN FOR FURTHER IMPROVEMENT IN LIGHTWEIGHT CAR BODY STRUCTURES.” In Technologies for Economical and Functional Lightweight Design. Berlin, Heidelberg, 2019. https://doi.org/10.1007/978-3-662-58206-0_12.
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2019 | Book | LibreCat-ID: 10002
Sextro, Walter, and Michael Brökelmann. Intelligente Herstellung Zuverlässiger Kupferbondverbindungen. Vol. VIII. Springer Verlag, 2019. https://doi.org/10.1007/978-3-662-55146-2.
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2019 | Conference Paper | LibreCat-ID: 10042
Johannesmann, Sarah, Dimitri Springer, Christian Thiel, and Bernd Henning. “Störeffektunterdrückung in 2D-Messdaten mittels DiscoGAN.” In Fortschritte der Akustik - DAGA 2019, edited by Deutsche Gesellschaft für Akustik e.V., 45:1055–58. Rostock: Deutsche Gesellschaft für Akustik, 2019.
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2019 | Conference Paper | LibreCat-ID: 10091
König, Jürgen, and Heike Wehrheim. “Data Independence for Software Transactional Memory.” In {NASA} Formal Methods - 11th International Symposium, {NFM} 2019, Houston, TX, USA, May 7-9, 2019, Proceedings, edited by Julia M. Badger and Kristin Yvonne Rozier, 11460:263–79. Lecture Notes in Computer Science. Springer, 2019. https://doi.org/10.1007/978-3-030-20652-9\_18.
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2019 | Conference Paper | LibreCat-ID: 10093
Beyer, Dirk, Marie-Christine Jakobs, Thomas Lemberger, and Heike Wehrheim. “Combining Verifiers in Conditional Model Checking via Reducers.” In Software Engineering and Software Management (SE/SWM 2019), Stuttgart, Germany, February 18-22, 2019, edited by Steffen Becker, Ivan Bogicevic, Georg Herzwurm, and Stefan Wagner, P-292:151--152. LNI. GI, 2019. https://doi.org/10.18420/se2019-46.
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2019 | Conference Paper | LibreCat-ID: 10095
Richter, Cedric, and Heike Wehrheim. “PeSCo: Predicting Sequential Combinations of Verifiers - (Competition Contribution).” In Tools and Algorithms for the Construction and Analysis of Systems - 25 Years of {TACAS:} TOOLympics, Held as Part of {ETAPS} 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings, Part {III}, edited by Dirk Beyer, Marieke Huisman, Fabrice Kordon, and Bernhard Steffen, 11429:229–33. Lecture Notes in Computer Science. Springer, 2019. https://doi.org/10.1007/978-3-030-17502-3_19.
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2019 | Mastersthesis | LibreCat-ID: 10105
Haltermann, Jan. Analyzing Data Usage in Array Programs. Universität Paderborn, 2019.
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2019 | Conference Paper | LibreCat-ID: 10135
Webersen, Manuel, Matthias Hüttner, Fabian Woitschek, Elmar Moritzer, and Bernd Henning. “Akustische Charakterisierung der mechanischen Eigenschaften künstlich gealterter Polymere.” In Fortschritte der Akustik - DAGA 2019, edited by Deutsche Gesellschaft für Akustik e.V. (DEGA), 2019.
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2019 | Conference Paper | LibreCat-ID: 10232 | OA
Wever, Marcel Dominik, Felix Mohr, Alexander Tornede, and Eyke Hüllermeier. “Automating Multi-Label Classification Extending ML-Plan,” 2019.
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2019 | Conference Paper | LibreCat-ID: 10258
Dunst, Paul, Tobias Hemsel, Peter Bornmann, Walter Littmann, and Walter Sextro. “Modellbasierte Und Experimentelle Charakterisierung von Intensiven Ultraschall-Stehwellenfeldern Für Die Zerstäubung Hochviskoser Flüssigkeiten.” In DAGA 2019, 2019.
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2019 | Conference Paper | LibreCat-ID: 10284
Alshomary, Milad, Michael Völske, Tristan Licht, Henning Wachsmuth, Benno Stein, Matthias Hagen, and Martin Potthast. “Wikipedia Text Reuse: Within and Without.” In Advances in Information Retrieval, edited by Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, and Djoerd Hiemstra, 747–54. Cham: Springer International Publishing, 2019.
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2019 | Conference Paper | LibreCat-ID: 13554 | OA
Blömer, Johannes, and Nils Löken. “Personal Cross-Platform Reputation.” In Security and Trust Management, STM 2019, Vol. 11738. LNCS, 2019. https://doi.org/10.1007/978-3-030-31511-5_9.
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2019 | Conference Paper | LibreCat-ID: 13647
Claes, Leander, Sarah Johannesmann, Elmar Baumhögger, and Bernd Henning. “Quantification of Frequency-Dependent Absorption Phenomena.” In 2019 International Congress on Ultrasonics, 2019. https://doi.org/10.1121/2.0001043.
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2019 | Conference Paper | LibreCat-ID: 13652
Hinnenthal, Kristian, Christian Scheideler, and Martijn Struijs. “Fast Distributed Algorithms for LP-Type Problems of Low Dimension.” In 33rd International Symposium on Distributed Computing (DISC 2019), 2019. https://doi.org/10.4230/LIPICS.DISC.2019.23.
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2019 | Journal Article | LibreCat-ID: 25030
Schenke, Maximilian, Wilhelm Kirchgässner, and Oliver Wallscheid. “Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.” IEEE Transactions on Industrial Informatics, 2019, 4650–58. https://doi.org/10.1109/tii.2019.2948387.
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