Bossek, J., Grimme, C., &; Trautmann, H. (2020). Dynamic Bi-Objective Routing of Multiple Vehicles. Proceedings of the Genetic and Evolutionary Computation Conference, 166–174.https://doi.org/10.1145/3377930.3390146 

Bossek, J., Kerschke, P., &; Trautmann, H. (2020). A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing, 88(C).https://doi.org/10.1016/j.asoc.2019.105901 

Koning, R., Polevoy, G., Meijer, L., de Laat, C., &; Grosso, P. (2019). Approaches for Collaborative Security Defences in Multi Network Environments. In 2019 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom) (pp. 113–123).https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9 

Krüger, S., Späth, J., Ali, K., Bodden, E., &; Mezini, M. (2019). CrySL: An Extensible Approach to Validating the Correct Usage of Cryptographic APIs. IEEE Transactions on Software Engineering, 1–1.https://doi.org/10.1109/TSE.2019.2948910 

Schemmel, R., Hemsel, T., Dymel, C., Hunstig, M., Brökelmann, M., &; Sextro, W. (2019). Using complex multi-dimensional vibration trajectories in ultrasonic bonding and welding. Sensors and Actuators A: Physical, 295, 653–662.https://doi.org/10.1016/j.sna.2019.04.025 

Bossek, J., Grimme, C., Meisel, S., Rudolph, G., &; Trautmann, H. (2019). Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In K. Deb, E. Goodman, C. A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, &; P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO) (pp. 516–528). Springer International Publishing.https://doi.org/10.1007/978-3-030-12598-1_41 

Bossek, J., Grimme, C., &; Neumann, F. (2019). On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. Proceedings of the Genetic and Evolutionary Computation Conference, 516–523.https://doi.org/10.1145/3321707.3321818 

Unger, A., Hunstig, M., Meyer, T., Brökelmann, M., &; Sextro, W. (2018). Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges. In In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018 (Vol. Vol. 2018, No. 1, pp. 000572-000577.).https://doi.org/10.4071/2380-4505-2018.1.000572 

Benter, M., Knollmann, T., Meyer auf der Heide, F., Setzer, A., &; Sundermeier, J. (2018). A Peer-to-Peer based Cloud Storage supporting orthogonal Range Queries of arbitrary Dimension. In Proceedings of the 4th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD). Helsinki.https://doi.org/10.1007/978-3-030-19759-9_4 

Bossek, J., Grimme, C., Meisel, S., Rudolph, G., &; Trautmann, H. (2018). Local Search Effects in Bi-Objective Orienteering. Proceedings of the Genetic and Evolutionary Computation Conference, 585–592.https://doi.org/10.1145/3205455.3205548 

Weishäupl, E., Yasasin, E., &; Schryen, G. (2015). A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory. In International Conference on Information Systems.

Stille, K. S. C., Böcker, J., Bettentrup, R., &; Kaiser, I. (2015). Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten. ETG-Fachtagung “Von Smart Grids Zu Smart Markets.”

Meisel, S., Grimme, C., Bossek, J., Wölck, M., Rudolph, G., &; Trautmann, H. (2015). Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. Proceedings of the Genetic and Evolutionary Computation Conference , 425–432.https://doi.org/10.1145/2739480.2754705 

Leutnant, V., Krueger, A., &; Haeb-Umbach, R. (2014). A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 22(1), 95–109.https://doi.org/10.1109/TASLP.2013.2285480 

Sjöklint, M., Constantiou, I., &; Trier, M. (2013). Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework. In ECIS 2013 Proceedings. Association for Information Systems. AIS Electronic Library (AISeL).

Mischkalla, F., &; Müller, W. (2013). Efficient Power-Intent Validation Using “Loosely-Timed”https://doi.org/10.1109/PATMOS.2013.6662171__Simulation Models: A Non-Invasive Approach. 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS).https://doi.org/10.1109/PATMOS.2013.6662171 

He, D., &; Müller, W. (2013). An Energy-Efficient Heuristic for Hard Real-Time System on Multi-Core Processors. In H. Weghorn (Ed.), Proceedings of the International Conference on Applied Computing (AC).

Azene, Y. T., Roy, R., Farrugia, D., Onisa, C., Mehnen, J., &; Trautmann, H. (2010). Work roll cooling system design optimisation in presence of uncertainty and constrains. CIRP Journal of Manufacturing Science and Technology, 2(4), 290–298.https://doi.org/10.1016/j.cirpj.2010.06.001 

Pottebaum, J., Japs, A. M., Prödel, S., &; Koch, R. (2010). Design and modeling of a domain ontology for fire protection. In S. French, B. Tomaszewski, &; C. Zobel (Eds.), ISCRAM 2010 -- 7th International Conference on Information Systems for Crisis Response and Management.

Bevermeier, M., Peschke, S., &; Haeb-Umbach, R. (2009). Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning. In IEEE 69th Vehicular Technology Conference (VTC 2009 Spring) (pp. 1–5).https://doi.org/10.1109/VETECS.2009.5073634 

Schäfer, R., &; Müller, W. (2008). Assessment of a Multimodal Interaction and Rendering System against Established Design Principles. Journal on Multimodal User Interfaces, 2(1), 25–41.https://doi.org/10.1007/s12193-008-0003-3 

Haeb-Umbach, R., &; Bevermeier, M. (2007). OFDM Channel Estimation Based on Combined Estimation in Time and Frequency Domain. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007) (Vol. 3, pp. III-277-III–280).https://doi.org/10.1109/ICASSP.2007.366526 

Rohlfing, K., Fritsch, J., Wrede, B., &; Jungmann, T. (2006). How can multimodal cues from child-directed interaction reduce learning complexity in robots? Advanced Robotics, 20(10), 1183–1199.https://doi.org/10.1163/156855306778522532 

Enzler, R., Plessl, C., &; Platzner, M. (2003). Virtualizing Hardware with Multi-Context Reconfigurable Arrays. In Proc. Int. Conf. on Field Programmable Logic and Applications (FPL) (Vol. 2778, pp. 151–160). Springer.https://doi.org/10.1007/b12007 

Dücker, M., Geiger, C., Lehrenfeld, G., Müller, W., &; Tahedl, C. (1997). A Visual Programming Language for Qualitative Data. Proceedings of the 1997 IEEE Symposium on Visual Languages.https://doi.org/10.1109/VL.1997.626593