Guc, M., Kodalle, T., Kormath Madam Raghupathy, R., Mirhosseini, H., Kühne, T. D., Becerril-Romero, I.,https://doi.org/10.1021/acs.jpcc.9b08781__Izquierdo-Roca, V. (2019). Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations. The Journal of Physical Chemistry C, 124, 1285–1291.https://doi.org/10.1021/acs.jpcc.9b08781 
LibreCat: /record/15740
DOI: 10.1021/acs.jpcc.9b08781

Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., &; Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica.https://doi.org/10.1016/j.automatica.2019.108759 
LibreCat: /record/15741
DOI: 10.1016/j.automatica.2019.108759

Otte, O. (2019). Outsourced Decryption of Attribute-based Ciphertexts.
LibreCat: /record/15746

Wördenweber, N. C. (2019). On the Security of the Rouselakis-Waters Ciphertext-Policy Attribute-Based Encryption Scheme in the Random Oracle Model.
LibreCat: /record/15747

Heymann, J., &; Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated Learning for Sequence Modeling. In ICASSP 2019, Brighton, UK.
LibreCat: /record/15812

Zorila, C., Boeddeker, C., Doddipatla, R., &; Haeb-Umbach, R. (2019). An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In ASRU 2019, Sentosa, Singapore.
LibreCat: /record/15816

Leutnant, M. (2019). Experimentelle Untersuchung des SEM-Algorithmus.
LibreCat: /record/15819

Pauck, F., &; Zhang, S. (2019). Android App Merging for Benchmark Speed-Up and Analysis Lift-Up. In 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW).https://doi.org/10.1109/asew.2019.00019 
LibreCat: /record/15838
DOI: 10.1109/asew.2019.00019

Camberg, A. A., Tröster, T., Bohner, F., &; Tölle, J. (2019). 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, 651, 012057.https://doi.org/10.1088/1757-899X/651/1/012057 
LibreCat: /record/15875
DOI: 10.1088/1757-899X/651/1/012057

Kumar Jeyakumar, S. (2019). Incremental learning with Support Vector Machine on embedded platforms.
LibreCat: /record/15883

Müller, J., Brinkmann, M., Poddebniak, D., Böck, H., Schinzel, S., Somorovsky, J., &; Schwenk, J. (2019). “Johnny, you are fired!” -- Spoofing OpenPGP and S/MIME Signatures in Emails. In 28th USENIX Security Symposium (USENIX Security 19) (pp. 1011–1028). Santa Clara, CA: USENIX Association.
LibreCat: /record/15908

Merget, R., Somorovsky, J., Aviram, N., Young, C., Fliegenschmidt, J., Schwenk, J., &; Shavitt, Y. (2019). Scalable Scanning and Automatic Classification of TLS Padding Oracle Vulnerabilities. In 28th USENIX Security Symposium (USENIX Security 19) (pp. 1029–1046). Santa Clara, CA: USENIX Association.
LibreCat: /record/15909

Engelbertz, N., Mladenov, V., Somorovsky, J., Herring, D., Erinola, N., &; Schwenk, J. (2019). Security Analysis of XAdES Validation in the CEF Digital Signature Services (DSS). In H. Roßnagel, S. Wagner, &; D. Hühnlein (Eds.), Open Identity Summit 2019 (pp. 95–106). Gesellschaft für Informatik, Bonn.
LibreCat: /record/15910

Keerthipati, M. (2019). A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn.
LibreCat: /record/15920

Desouki, A. A., Röder, M., &; Ngonga Ngomo, A.-C. (2019). Ranking on Very Large Knowledge Graphs. In Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19 (pp. 163–171). ACM.https://doi.org/10.1145/3342220.3343660 
LibreCat: /record/15921
DOI: 10.1145/3342220.3343660

Heindorf, S., Scholten, Y., Engels, G., &; Potthast, M. (2019). Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In INFORMATIK (pp. 289–290).https://doi.org/10.18420/inf2019_48 
LibreCat: /record/14568
DOI: 10.18420/inf2019_48

Sommer, C., &; Basagni, S. (2019). Advances and novel applications of mobile wireless networking. Ad Hoc Networks.https://doi.org/10.1016/j.adhoc.2019.101975 
LibreCat: /record/14817
DOI: 10.1016/j.adhoc.2019.101975

Heinovski, J., Stratmann, L., Buse, D. S., Klingler, F., Franke, M., Oczko, M.-C. H.,https://doi.org/10.1109/wowmom.2019.8793008__Dressler, F. (2019). 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”https://doi.org/10.1109/wowmom.2019.8793008__(WoWMoM).https://doi.org/10.1109/wowmom.2019.8793008 
LibreCat: /record/14819
DOI: 10.1109/wowmom.2019.8793008

Seipelt, A. R. (2019). Aufführungs- und zensurbedingte Veränderungen im Wiener Manuskript der Freischütz-Erstaufführung 1821 in Wien. Weberiana, 29, 107–161.
LibreCat: /record/14821

Heitkaemper, J., Feher, T., Freitag, M., &; Haeb-Umbach, R. (2019). 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.
LibreCat: /record/14822

Martin-Donas, J. M., Heitkaemper, J., Haeb-Umbach, R., Gomez, A. M., &; Peinado, A. M. (2019). Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In INTERSPEECH 2019, Graz, Austria.
LibreCat: /record/14824

Kanda, N., Boeddeker, C., Heitkaemper, J., Fujita, Y., Horiguchi, S., &; Haeb-Umbach, R. (2019). Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In INTERSPEECH 2019, Graz, Austria.
LibreCat: /record/14826

Seipelt, A. R., &; Klugseder, R. (2019). Digitale Musikanalyse auf Grundlage von MEI-codierten Daten. In  Klaus Aringer, C. Utz, &; T. Wozonig (Eds.), Musik im Zusammenhang: Festschrift Peter Revers zum 65. Geburtstag (pp. 69–87). Wien: Hollitzer.
LibreCat: /record/14828

Scheideler, C., &; Berenbrink, P. (Eds.). (2019). The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM.https://doi.org/10.1145/3323165 
LibreCat: /record/14829
DOI: 10.1145/3323165

Gmyr, R., Lefevre, J., &; Scheideler, C. (2019). Self-Stabilizing Metric Graphs. Theory Comput. Syst., 63(2), 177–199.https://doi.org/10.1007/s00224-017-9823-4 
LibreCat: /record/14830
DOI: 10.1007/s00224-017-9823-4

Sabu, N. S. (2019). FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University.
LibreCat: /record/14831

Vaz, G. F. (2019). Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems. Universität Paderborn.
LibreCat: /record/14849

Mäcker, A. (2019). On Scheduling with Setup Times. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-828 
LibreCat: /record/14851
DOI: 10.17619/UNIPB/1-828

Dunst, P., Bornmann, P., Hemsel, T., Littmann, W., &; Sextro, W. (2019). Atomization of Fluids with Ultrasound. In J. Lötters &; G. Urban (Eds.), Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MF) (pp. 140–143). Enschede, The Netherlands.
LibreCat: /record/14852

Wei, Q., Sain, B., Wang, Y., Reineke, B., Li, X., Huang, L., &; Zentgraf, T. (2019). Simultaneous Spectral and Spatial Modulation for Color Printing and Holography Using All-dielectric Metasurfaces. Nano Letters, 19(12), 8964–8971.https://doi.org/10.1021/acs.nanolett.9b03957 
LibreCat: /record/14870
DOI: 10.1021/acs.nanolett.9b03957

Kuhlemann, S., Sellmann, M., &; Tierney, K. (2019). Exploiting Counterfactuals for Scalable Stochastic Optimization. In Lecture Notes in Computer Science. Cham.https://doi.org/10.1007/978-3-030-30048-7_40 
LibreCat: /record/14890
DOI: 10.1007/978-3-030-30048-7_40

Dann, A., Hermann, B., &; Bodden, E. (2019). ModGuard: Identifying Integrity &;Confidentiality Violations in Java Modules. IEEE Transactions on Software Engineering, 1–1.https://doi.org/10.1109/tse.2019.2931331 
LibreCat: /record/14896
DOI: 10.1109/tse.2019.2931331

Dann, A., Hermann, B., &; Bodden, E. (2019). SootDiff: bytecode comparison across different Java compilers. Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019.https://doi.org/10.1145/3315568.3329966 
LibreCat: /record/14897
DOI: 10.1145/3315568.3329966

Kruger, S., &; Hermann, B. (2019). Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts. 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE).https://doi.org/10.1109/ge.2019.00012 
LibreCat: /record/14899
DOI: 10.1109/ge.2019.00012

Mair, C., Scheffler, W., Senger, I., &; Sureth-Sloane, C. (2019). Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern (Vol. 42).
LibreCat: /record/14902

Hoppe, T., Rechbauer, M., &; Sturm, S. (2019). Steuerkomplexität im Vergleich zwischen Deutschland und Österreich - Eine Analyse des Status quo. Steuer und Wirtschaft, 96(4), 397–412.
LibreCat: /record/14904

Kourouxous, T., &; Bauer, T. (2019). Violations of Dominance in Decision-Making. Business Research, 12(1), 209–239.https://doi.org/10.1007/s40685-019-0093-7 
LibreCat: /record/14905
DOI: 10.1007/s40685-019-0093-7

Majdanska, A., &; Wu, Y. (2019). Using Impact Evaluation to Examine Domestic and International Cooperative Compliance Programs. Tax Notes International, 93(10), 1045–1065.
LibreCat: /record/14910

Ebers, L., Hammer, M., Berkemeier, M. B., Menzel, A., &; Förstner, J. (2019). Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter. OSA Continuum, 2, 3288.https://doi.org/10.1364/osac.2.003288 
LibreCat: /record/14990
DOI: 10.1364/osac.2.003288

Couso, I., Borgelt, C., Hüllermeier, E., &; Kruse, R. (2019). Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine, 31–44.https://doi.org/10.1109/mci.2018.2881642 
LibreCat: /record/15001
DOI: 10.1109/mci.2018.2881642

Waegeman, W., Dembczynski, K., &; Hüllermeier, E. (2019). Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery, 33(2), 293–324.https://doi.org/10.1007/s10618-018-0595-5 
LibreCat: /record/15002
DOI: 10.1007/s10618-018-0595-5

Mortier, T., Wydmuch, M., Dembczynski, K., Hüllermeier, E., &; Waegeman, W. (2019). 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.
LibreCat: /record/15003

Ahmadi Fahandar, M., &; Hüllermeier, E. (2019). Feature Selection for Analogy-Based Learning to Rank. In Discovery Science. Cham.https://doi.org/10.1007/978-3-030-33778-0_22 
LibreCat: /record/15004
DOI: 10.1007/978-3-030-33778-0_22

Ahmadi Fahandar, M., &; Hüllermeier, E. (2019). Analogy-Based Preference Learning with Kernels. In KI 2019: Advances in Artificial Intelligence. Cham.https://doi.org/10.1007/978-3-030-30179-8_3 
LibreCat: /record/15005
DOI: 10.1007/978-3-030-30179-8_3

Nguyen, V.-L., Destercke, S., &; Hüllermeier, E. (2019). Epistemic Uncertainty Sampling. In Discovery Science. Cham.https://doi.org/10.1007/978-3-030-33778-0_7 
LibreCat: /record/15006
DOI: 10.1007/978-3-030-33778-0_7

Melnikov, V., &; Hüllermeier, E. (2019). Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101).https://doi.org/10.1016/j.jmva.2019.02.017 
LibreCat: /record/15007
DOI: 10.1016/j.jmva.2019.02.017

Epple, N., Dari, S., Drees, L., Protschky, V., &; Riener, A. (2019). Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. In 2019 IEEE Intelligent Vehicles Symposium (IV).https://doi.org/10.1109/ivs.2019.8814100 
LibreCat: /record/15009
DOI: 10.1109/ivs.2019.8814100

Tornede, A., Wever, M. D., &; Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann, E. Hüllermeier, &; R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019 (pp. 135–146). Dortmund: KIT Scientific Publishing, Karlsruhe.
LibreCat: /record/15011

Brinker, K., &; Hüllermeier, E. (2019). A Reduction of Label Ranking to Multiclass Classification. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany.
LibreCat: /record/15013

Hüllermeier, E., Couso, I., &; Diestercke, S. (2019). Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management.
LibreCat: /record/15014