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Moro D, Peuster M, Karl H, Capone A. Demonstrating FO: A Flexible Platform to Prototype NFV Offloading Scenarios. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.
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Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Putting NFV into Reality: Physical Smart Manufacturing Testbed. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.
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Behnke D, Müller M, Bök P-B, Schneider SB, Peuster M, Karl H. NFV-driven intrusion detection for smart manufacturing. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.
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Berendes CI. Towards Analyzing High Street Customer Trajectories - A Data-Driven Case Study. In: Business Information Systems Workshops. Cham; 2019. doi:10.1007/978-3-030-36691-9_27
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Baumeister J. New Quick And Easy Publication - Will be edited by LibreCat team. Quick And Easy Journal Title. 2019.
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An Y, Lobacz A, Baumeister J, et al. Negative Emotion and Joint-Stiffness Regulation Strategies After Anterior Cruciate Ligament Injury. J Athl Train. 2019. doi:10.4085/1062-6050-246-18
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Vogt S, Skjæret-Maroni N, Neuhaus D, Baumeister J. Virtual reality interventions for balance prevention and rehabilitation after musculoskeletal lower limb impairments in young up to middle-aged adults: A comprehensive review on used technology, balance outcome measures and observed effects. Int J Med Inform. 2019;126:46-58. doi:10.1016/j.ijmedinf.2019.03.009
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Ho N, Kaufmann P, Platzner M. Optimization of Application-specific L1 Cache Translation Functions of the LEON3 Processor. In: World Congress on Nature and Biologically Inspired Computing (NaBIC). Advances in Nature and Biologically Inspired Computing. Springer; 2019.
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Lehmann T, Büchel D, Cockcroft J, Louw Q, Baumeister J. Phase Coupling of Bilateral Motor Areas Decreases from Bipedal to Single Leg Stance. In: ; 2019.
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Gokeler A, Neuhaus D, Benjaminse A, Grooms D, Baumeister J. Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury. Sports Med. 2019;49(6):853-865. doi:10.1007/s40279-019-01058-0
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An Y, DiTrani Lobacz A, Lehmann T, et al. Neuroplastic changes in anterior cruciate ligament reconstruction patients from neuromechanical decoupling. Scand J Med Sci Sports. 2019;29(2):251-258. doi:10.1111/sms.13322
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Dingenen B, Truijen J, Bellemans J, Gokeler A. Test-retest reliability and discriminative ability of forward, medial and rotational single-leg hop tests. Knee. 2019;26(5):978-987. doi:10.1016/j.knee.2019.06.010
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Yigitbas E. Model-Driven Engineering of Self-Adaptive User Interfaces.; 2019.
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Schütte J, Sextro W, Kohl S. Halbachsprüfstand zur kinematischen, elastokinematischen und dynamischen Charakterisierung von Radaufhängungen. In: Fachtagung Mechatronik 2019. Paderborn: Universitätsbibliothek Paderborn, 2019; 2019. doi:10.17619/UNIPB/1-777
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Gorlani P, Kenter T, Plessl C. OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs. In: Proceedings of the International Conference on Field-Programmable Technology (FPT). IEEE; 2019. doi:10.1109/ICFPT47387.2019.00020
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Thiel C, Steidl C, Henning B. .9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press. In: AMA Service GmbH, ed. 20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019. Von-Münchhausen-Str. 49, 31515 Wunstorf; 2019. doi:10.5162/SENSOREN2019/P2.9
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Krause D, Paschen L, Vogt S. Zur Gestaltung von Feedbackprozeduren zum Erlernen der postoperativen Teilbelastung beim Gehen mit Unterarmgehstützen im Kontext der Bewegungsautomatisierung. B&;G Bewegungstherapie und Gesundheitssport. Published online 2019:14-19. doi:10.1055/a-0818-7603
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Purrmann M, Wünderlich N. Value Co-Creation Patterns in Multi-Actor Service Interactions: A Framework for Collaborative Consumption Platforms. In: Proceedings of the 2019 Frontiers in Service Conference. ; 2019.
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Izu C, Schulte C, Aggarwal A, et al. Program Comprehension: Identifying Learning Trajectories for Novice Programmers. In: Proceedings of the 2019 (ACM) Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019. ; 2019:261-262. doi:10.1145/3304221.3325531
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Kapp F, Schulte C. Einsatz von Jupyter Notebooks am Beispiel eines fiktiven Kriminalfalls. In: Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund. ; 2019:247-256. doi:10.18420/infos2019-c10
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Müller K, Schulte C, Magenheim J. Zur Relevanz eines Prozessbereiches Interaktion und Exploration im Kontext informatischer Bildung im Primarbereich. In: Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund. ; 2019:139-148. doi:10.18420/infos2019-b10
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Schmidt A-K, Schulte C. Das RetiBNE Café. In: Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund. ; 2019:315-324. doi:10.18420/infos2019-c17
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Augustine J, Hinnenthal K, Kuhn F, Scheideler C, Schneider P. Shortest Paths in a Hybrid Network Model. In: Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms. Philadelphia, PA; 2019:1280-1299. doi:10.1137/1.9781611975994.78
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Wilke A, Magenheim J. Critical Incidents for Technology Enhanced Learning in Vocational Education and Training. In: IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019. ; 2019:892-899. doi:10.1109/EDUCON.2019.8725025
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Köller O, Magenheim J, Molitor H, et al. Zieldimensionen Für Multiplikatorinnen Und Multiplikatoren Früher MINT-Bildung. Verlag Barbara Budrich; 2019.
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Ojha D, Kaliannan NK, Kühne TD. Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface. Communications Chemistry. 2019;2(1):116. doi:10.1038/s42004-019-0220-6
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Ohto T, Dodia M, Xu J, et al. Accessing the Accuracy of Density Functional Theory through Structure and Dynamics of the Water–Air Interface. The Journal of Physical Chemistry Letters. 2019;10:4914-4919. doi:10.1021/acs.jpclett.9b01983
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Azadi S, Kühne TD. Unconventional phase III of high-pressure solid hydrogen. Physical Review B. 2019;100:155103-155105. doi:10.1103/physrevb.100.155103
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Guc M, Kodalle T, Kormath Madam Raghupathy R, et al. Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations. The Journal of Physical Chemistry C. 2019;124:1285-1291. doi:10.1021/acs.jpcc.9b08781
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Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. 2019. doi:10.1016/j.automatica.2019.108759
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Otte O. Outsourced Decryption of Attribute-Based Ciphertexts.; 2019.
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Wördenweber NC. On the Security of the Rouselakis-Waters Ciphertext-Policy Attribute-Based Encryption Scheme in the Random Oracle Model.; 2019.
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Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence Modeling. In: ICASSP 2019, Brighton, UK. ; 2019.
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Zorila C, Boeddeker C, Doddipatla R, Haeb-Umbach R. An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In: ASRU 2019, Sentosa, Singapore. ; 2019.
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Leutnant M. Experimentelle Untersuchung Des SEM-Algorithmus.; 2019.
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Camberg AA, Tröster T, Bohner F, Tölle J. Predicting plasticity and fracture of severe pre-strained EN AW-5182 by Yld2000 yield locus and Hosford-Coulomb fracture model in sheet forming applications. IOP Conference Series: Materials Science and Engineering. 2019;651:012057. doi:10.1088/1757-899X/651/1/012057
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Kumar Jeyakumar S. Incremental Learning with Support Vector Machine on Embedded Platforms.; 2019.
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Müller J, Brinkmann M, Poddebniak D, et al. “Johnny, you are fired!” -- Spoofing OpenPGP and S/MIME Signatures in Emails. In: 28th USENIX Security Symposium (USENIX Security 19). Santa Clara, CA: USENIX Association; 2019:1011-1028.
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Merget R, Somorovsky J, Aviram N, et al. Scalable Scanning and Automatic Classification of TLS Padding Oracle Vulnerabilities. In: 28th USENIX Security Symposium (USENIX Security 19). Santa Clara, CA: USENIX Association; 2019:1029-1046.
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Engelbertz N, Mladenov V, Somorovsky J, Herring D, Erinola N, Schwenk J. Security Analysis of XAdES Validation in the CEF Digital Signature Services (DSS). In: Roßnagel H, Wagner S, Hühnlein D, eds. Open Identity Summit 2019. Gesellschaft für Informatik, Bonn; 2019:95-106.
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Keerthipati M. A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn; 2019.
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Desouki AA, Röder M, Ngonga Ngomo A-C. Ranking on Very Large Knowledge Graphs. In: Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19. ACM; 2019:163-171. doi:10.1145/3342220.3343660
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Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In: INFORMATIK. ; 2019:289-290. doi:10.18420/inf2019_48
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Sommer C, Basagni S. Advances and novel applications of mobile wireless networking. Ad Hoc Networks. 2019. doi:10.1016/j.adhoc.2019.101975
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Heinovski J, Stratmann L, Buse DS, et al. Modeling Cycling Behavior to Improve Bicyclists’ Safety at Intersections - A Networking Perspective. In: 2019 IEEE 20th International Symposium on “A World of Wireless, Mobile and Multimedia Networks”10.1109/wowmom.2019.8793008__(WoWMoM). ; 2019. doi:10.1109/wowmom.2019.8793008
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Seipelt AR. Aufführungs- und zensurbedingte Veränderungen im Wiener Manuskript der Freischütz-Erstaufführung 1821 in Wien. Weberiana. 2019;29:107–161.
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Heitkaemper J, Feher T, Freitag M, Haeb-Umbach R. A Study on Online Source Extraction in the Presence of Changing Speaker Positions. In: International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia. ; 2019.
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Martin-Donas JM, Heitkaemper J, Haeb-Umbach R, Gomez AM, Peinado AM. Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
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Kanda N, Boeddeker C, Heitkaemper J, Fujita Y, Horiguchi S, Haeb-Umbach R. Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
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Seipelt AR, Klugseder R. Digitale Musikanalyse auf Grundlage von MEI-codierten Daten. In: Aringer  Klaus, Utz C, Wozonig T, eds. Musik im Zusammenhang: Festschrift Peter Revers zum 65. Geburtstag. Wien: Hollitzer; 2019:69–87.
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Scheideler C, Berenbrink P, eds. The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM; 2019. doi:10.1145/3323165
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Gmyr R, Lefevre J, Scheideler C. Self-Stabilizing Metric Graphs. Theory Comput Syst. 2019;63(2):177-199. doi:10.1007/s00224-017-9823-4
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Sabu NS. FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University; 2019.
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Vaz GF. Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn; 2019.
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Mäcker A. On Scheduling with Setup Times. Universität Paderborn; 2019. doi:10.17619/UNIPB/1-828
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Dunst P, Bornmann P, Hemsel T, Littmann W, Sextro W. Atomization of Fluids with Ultrasound. In: Lötters J, Urban G, eds. Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MF). Enschede, The Netherlands; 2019:140-143.
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Wei Q, Sain B, Wang Y, et al. Simultaneous Spectral and Spatial Modulation for Color Printing and Holography Using All-dielectric Metasurfaces. Nano Letters. 2019;19(12):8964–8971. doi:10.1021/acs.nanolett.9b03957
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Kuhlemann S, Sellmann M, Tierney K. Exploiting Counterfactuals for Scalable Stochastic Optimization. In: Lecture Notes in Computer Science. Cham; 2019. doi:10.1007/978-3-030-30048-7_40
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Dann A, Hermann B, Bodden E. ModGuard: Identifying Integrity &;Confidentiality Violations in Java Modules. IEEE Transactions on Software Engineering. Published online 2019:1-1. doi:10.1109/tse.2019.2931331
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Dann A, Hermann B, Bodden E. SootDiff: bytecode comparison across different Java compilers. In: Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019. ; 2019. doi:10.1145/3315568.3329966
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Kruger S, Hermann B. Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts. In: 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE). ; 2019. doi:10.1109/ge.2019.00012
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Mair C, Scheffler W, Senger I, Sureth-Sloane C. Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern. Vol 42.; 2019.
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Hoppe T, Rechbauer M, Sturm S. Steuerkomplexität im Vergleich zwischen Deutschland und Österreich - Eine Analyse des Status quo. Steuer und Wirtschaft. 2019;96(4):397-412.
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Kourouxous T, Bauer T. Violations of Dominance in Decision-Making. Business Research. 2019;12(1):209-239. doi:10.1007/s40685-019-0093-7
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Majdanska A, Wu Y. Using Impact Evaluation to Examine Domestic and International Cooperative Compliance Programs. Tax Notes International. 2019;93(10):1045-1065.
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Ebers L, Hammer M, Berkemeier MB, Menzel A, Förstner J. Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter. OSA Continuum. 2019;2:3288. doi:10.1364/osac.2.003288
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Couso I, Borgelt C, Hüllermeier E, Kruse R. Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine. 2019:31-44. doi:10.1109/mci.2018.2881642
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Waegeman W, Dembczynski K, Hüllermeier E. Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery. 2019;33(2):293-324. doi:10.1007/s10618-018-0595-5
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Mortier T, Wydmuch M, Dembczynski K, Hüllermeier E, Waegeman W. Set-Valued Prediction in Multi-Class Classification. In: Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019. ; 2019.
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Ahmadi Fahandar M, Hüllermeier E. Feature Selection for Analogy-Based Learning to Rank. In: Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_22
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Ahmadi Fahandar M, Hüllermeier E. Analogy-Based Preference Learning with Kernels. In: KI 2019: Advances in Artificial Intelligence. Cham; 2019. doi:10.1007/978-3-030-30179-8_3
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Nguyen V-L, Destercke S, Hüllermeier E. Epistemic Uncertainty Sampling. In: Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_7
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Melnikov V, Hüllermeier E. Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). ; 2019. doi:10.1016/j.jmva.2019.02.017
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Epple N, Dari S, Drees L, Protschky V, Riener A. Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. In: 2019 IEEE Intelligent Vehicles Symposium (IV). ; 2019. doi:10.1109/ivs.2019.8814100
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Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. KIT Scientific Publishing, Karlsruhe; 2019:135-146.
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Brinker K, Hüllermeier E. A Reduction of Label Ranking to Multiclass Classification. In: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany; 2019.
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Hüllermeier E, Couso I, Diestercke S. Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In: Proceedings SUM 2019, International Conference on Scalable Uncertainty Management. ; 2019.
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Henzgen S, Hüllermeier E. Mining Rank Data. ACM Transactions on Knowledge Discovery from Data. 2019:1-36. doi:10.1145/3363572
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Bader F, Hengsbach F, Hoyer K-P, Homberg W, Schaper M. Intrinsically lubricated tool inserts for deep drawing applications generated by selective laser melting. In: PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019. ; 2019. doi:10.1063/1.5112720
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Tillmann W, Fehr A, Stangier D, et al. Al2O3/ZrO2-8O3 and (Cr,Ti)AlSiN tool coatings to influence the temperature and surface quality in friction-spinning processes. Production Engineering. 2019:449-457. doi:10.1007/s11740-019-00899-y
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Djakow E. Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen. Düren: Shaker; 2019. doi:ISBN 978-3-8440-6723-1
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Linnemann M, Psyk V, Djakow E, Springer R, Homberg W, Landgrebe D. High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts. Procedia Manufacturing. 2019:21-26. doi:10.1016/j.promfg.2018.12.038
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Piper M, Zibart A, Djakow E, Springer R, Homberg W, Kenig EY. Heat transfer enhancement in pillow-plate heat exchangers with dimpled surfaces: A numerical study. Applied Thermal Engineering. 2019:142-146. doi:10.1016/j.applthermaleng.2019.02.082
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Hartel R, Dunst A. How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics. In: International Conference on Multimedia Modeling, MMM. Springer; 2019:662-671. doi:10.1007/978-3-030-05716-9_59
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Bolenz L, Fischer F, Toye D, Kenig E. Tomographische Untersuchung der Fluiddynamik viskoser Systeme in Packungskolonnen. Chemie Ingenieur Technik. 2019:1892-1896. doi:10.1002/cite.201900077
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Bolenz L, Toye D, Kenig E. Liquid Flow Morphology of Viscous Systems in Structured Packings: Investigations by X-ray Tomography. Chemical Engineering Transactions. 2019;74:913-918. doi:10.3303/CET1974153
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Bolenz L, Toye D, Kenig E. Tomographische Untersuchung der Fluiddynamik viskoser Systeme in Packungskolonnen. In: ; 2019.
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Bolenz L, Toye D, Kenig E. Experimental and theoretical investigation of fluid dynamics in structured packings. In: ; 2019.
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Bolenz L, Toye D, Kenig E. Liquid Flow Morphology of Viscous Systems in Structured Packings: Investigations by X-ray Tomography. In: ; 2019.
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Salten AHJ, Makowiak JF, Makowiak J, Kenig E. Modellierung des Stofftransports in Füllkörperkolonnen mit dem Ansatz der hydrodynamischen Analogien. In: Potsdam: Jahrestreffen der ProcessNet-Fachgruppen Fluidverfahrenstechnik und Membrantechnik; 2019.
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Rieks S, Wende M, Preußer N, Gambaryan-Roisman T, Kenig E. A hydrodynamic analogy based modelling approach for zero-gravity distillation with metal foams. Chemical Engineering Research and Design. 2019;147:615-623. doi:10.1016/j.cherd.2019.05.022
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DOI: 10.1016/j.cherd.2019.05.022

Wende M, Kenig E. Modellierungsansatz zur Simulation von Gravidestillation mit Metallschäumen. In:  Jahrestreffen Der ProcessNet-Fachgruppe Wärme- Und Stoffübertragung.  Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stoffübertragung. ; 2019.
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Wende M, Staggenborg C, Kenig E. Simulation von Gravidestillationsprozessen mit Metallschäumen. In: Workshop Wärmeübertragung Mit Phasenwechsel in Fluiden Systemen: Ein Update. Workshop Wärmeübertragung mit Phasenwechsel in fluiden Systemen: Ein Update. ; 2019.
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Feldmann N, Jurgelucks B, Claes L, Henning B. A sensitivity-based optimisation procedure for the characterisation of piezoelectric discs. In: 2019 International Congress on Ultrasonics. ; 2019. doi:10.1121/2.0001070
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DOI: 10.1121/2.0001070

Jenert T, Brahm T, Naeve-Stoß N. Fachbezogene Reflexion in der beruflichen Lehrer*innenbildung. bwpat. 2019;37.
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Jenert T, Brahm  T. Untangling Faculty Misinformation From an Educational Perspective: Rejoinder to “‘The Menace of Misinformation: Faculty Misstatements in Management Education and Their Consequences.’” Journal of Management Education . 2019;43(4):446-453.
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Jenert T, Reinmann G, Schmohl T, eds. Theorie und Praxis der Hochschulbildungsforschung. 1st ed. Wiesbaden: Springer VS; 2019.
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Dunst A, Hartel R. Multimodale Stilometrie: Herausforderungen und Potenzial kombinatorischer Bild- und Textanalysen am Beispiel Comics. In: DHd Konferenz 2019, Multimedial Und Multimodal. ; 2019.
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