Einsatz von Jupyter Notebooks am Beispiel eines fiktiven Kriminalfalls
F. Kapp, C. Schulte, in: Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund, 2019, pp. 247–256.

Zur Relevanz eines Prozessbereiches Interaktion und Exploration im Kontext informatischer Bildung im Primarbereich
K. Müller, C. Schulte, J. Magenheim, in: Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund, 2019, pp. 139–148.

Das RetiBNE Café
A.-K. Schmidt, C. Schulte, in: Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund, 2019, pp. 315–324.

Shortest Paths in a Hybrid Network Model
J. Augustine, K. Hinnenthal, F. Kuhn, C. Scheideler, P. Schneider, in: Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, Philadelphia, PA, 2019, pp. 1280–1299.

Critical Incidents for Technology Enhanced Learning in Vocational Education and Training
A. Wilke, J. Magenheim, in: IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019, 2019, pp. 892–899.

Zieldimensionen für Multiplikatorinnen und Multiplikatoren früher MINT-Bildung
O. Köller, J. Magenheim, H. Molitor, U. Pfenning, J. Ramseger, M. Steffensky, C. Wiesmüller, E. Winther, B. Wollring, Zieldimensionen Für Multiplikatorinnen Und Multiplikatoren Früher MINT-Bildung, Verlag Barbara Budrich, 2019.

Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface
D. Ojha, N.K. Kaliannan, T.D. Kühne, Communications Chemistry 2 (2019) 116.

Accessing the Accuracy of Density Functional Theory through Structure and Dynamics of the Water–Air Interface
T. Ohto, M. Dodia, J. Xu, S. Imoto, F. Tang, F. Zysk, T.D. Kühne, Y. Shigeta, M. Bonn, X. Wu, Y. Nagata, The Journal of Physical Chemistry Letters 10 (2019) 4914–4919.

Unconventional phase III of high-pressure solid hydrogen
S. Azadi, T.D. Kühne, Physical Review B 100 (2019) 155103–5.

Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations
M. Guc, T. Kodalle, R. Kormath Madam Raghupathy, H. Mirhosseini, T.D. Kühne, I. Becerril-Romero, A. Pérez-Rodríguez, C.A. Kaufmann, V. Izquierdo-Roca, The Journal of Physical Chemistry C 124 (2019) 1285–1291.

Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).

Outsourced Decryption of Attribute-based Ciphertexts
O. Otte, Outsourced Decryption of Attribute-Based Ciphertexts, 2019.

On the Security of the Rouselakis-Waters Ciphertext-Policy Attribute-Based Encryption Scheme in the Random Oracle Model
N.C. Wördenweber, On the Security of the Rouselakis-Waters Ciphertext-Policy Attribute-Based Encryption Scheme in the Random Oracle Model, 2019.

Improving CTC Using Stimulated Learning for Sequence Modeling
J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.

An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription
C. Zorila, C. Boeddeker, R. Doddipatla, R. Haeb-Umbach, in: ASRU 2019, Sentosa, Singapore, 2019.

Experimentelle Untersuchung des SEM-Algorithmus
M. Leutnant, Experimentelle Untersuchung Des SEM-Algorithmus, 2019.

Android App Merging for Benchmark Speed-Up and Analysis Lift-Up
F. Pauck, S. Zhang, in: 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), 2019.

Predicting plasticity and fracture of severe pre-strained EN AW-5182 by Yl00 yield locus and Hosford-Coulomb fracture model in sheet forming applications
A.A. Camberg, T. Tröster, F. Bohner, J. Tölle, IOP Conference Series: Materials Science and Engineering 651 (2019) 012057.

Incremental learning with Support Vector Machine on embedded platforms
S. Kumar Jeyakumar, Incremental Learning with Support Vector Machine on Embedded Platforms, 2019.

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

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

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

A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking
M. Keerthipati, A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking, Universität Paderborn, 2019.

Ranking on Very Large Knowledge Graphs
A.A. Desouki, M. Röder, A.-C. Ngonga Ngomo, in: Proceedings of the 30th ACM Conference on Hypertext and Social Media  - HT ’19, ACM, 2019, pp. 163–171.

Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)
S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: INFORMATIK, 2019, pp. 289–290.

Advances and novel applications of mobile wireless networking
C. Sommer, S. Basagni, Ad Hoc Networks (2019).

Modeling Cycling Behavior to Improve Bicyclists' Safety at Intersections - A Networking Perspective
J. Heinovski, L. Stratmann, D.S. Buse, F. Klingler, M. Franke, M.-C.H. Oczko, C. Sommer, I. Scharlau, F. Dressler, in: 2019 IEEE 20th International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), 2019.

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

A Study on Online Source Extraction in the Presence of Changing Speaker Positions
J. Heitkaemper, T. Feher, M. Freitag, R. Haeb-Umbach, in: International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.

Multi-Channel Block-Online Source Extraction based on Utterance Adaptation
J.M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A.M. Gomez, A.M. Peinado, in: INTERSPEECH 2019, Graz, Austria, 2019.

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

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

The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019
C. Scheideler, P. Berenbrink, eds., The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019, ACM, 2019.

Self-Stabilizing Metric Graphs
R. Gmyr, J. Lefevre, C. Scheideler, Theory Comput. Syst. 63 (2019) 177–199.

FPGA Acceleration of String Search Techniques in Huge Data Sets
N.S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data Sets, Paderborn University, 2019.

Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems
G.F. Vaz, Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems, Universität Paderborn, 2019.

On Scheduling with Setup Times
A. Mäcker, On Scheduling with Setup Times, Universität Paderborn, 2019.

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

Simultaneous Spectral and Spatial Modulation for Color Printing and Holography Using All-dielectric Metasurfaces
Q. Wei, B. Sain, Y. Wang, B. Reineke, X. Li, L. Huang, T. Zentgraf, Nano Letters 19 (2019) 8964–8971.

Exploiting Counterfactuals for Scalable Stochastic Optimization
S. Kuhlemann, M. Sellmann, K. Tierney, in: Lecture Notes in Computer Science, Cham, 2019.

ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules
A. Dann, B. Hermann, E. Bodden, IEEE Transactions on Software Engineering (2019) 1–1.

SootDiff: bytecode comparison across different Java compilers
A. Dann, B. Hermann, E. Bodden, in: Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019, 2019.

Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts
S. Kruger, B. Hermann, in: 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE), 2019.

Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern
C. Mair, W. Scheffler, I. Senger, C. Sureth-Sloane, Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern, 2019.

Steuerkomplexität im Vergleich zwischen Deutschland und Österreich - Eine Analyse des Status quo
T. Hoppe, M. Rechbauer, S. Sturm, Steuer und Wirtschaft 96 (2019) 397–412.

Violations of Dominance in Decision-Making
T. Kourouxous, T. Bauer, Business Research 12 (2019) 209–239.

Using Impact Evaluation to Examine Domestic and International Cooperative Compliance Programs
A. Majdanska, Y. Wu, Tax Notes International 93 (2019) 1045–1065.

Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter
L. Ebers, M. Hammer, M.B. Berkemeier, A. Menzel, J. Förstner, OSA Continuum 2 (2019) 3288.

Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning
I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence Magazine (2019) 31–44.

Multi-target prediction: a unifying view on problems and methods
W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery 33 (2019) 293–324.