Engineering Self-Adaptive Systems with Simulation-Based Performence Prediction
M. Becker, Engineering Self-Adaptive Systems with Simulation-Based Performence Prediction, Universität Paderborn, 2017.

Estimating relative depth in single images via rankboost
R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, E. Hüllermeier, in: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924.

Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening
M. Ahmadi Fahandar, E. Hüllermeier, I. Couso, in: Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.

Planning with Independent Task Networks
F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.

Predicting rankings of software verification tools
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.

Maximum Likelihood Estimation and Coarse Data
I. Couso, D. Dubois, E. Hüllermeier, in: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.

Learning to Rank based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.

(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017
F. Hoffmann, E. Hüllermeier, R. Mikut, in: 2017.

Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics
V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.

Learning TSK Fuzzy Rules from Data Streams
A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.

Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting
M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational Research 258 (2017) 295–306.

Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic
M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering 43 (2017) 739–759.

From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection
E. Hüllermeier, The Computing Research Repository  (CoRR) (2017).

Model-based control structure for high-speed permanent magnet synchronous drives
K. Peter, F. Mink, J. Böcker, in: 2017 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2017.

Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors
O. Wallscheid, W. Kirchgässner, J. Böcker, in: 2017 International Joint Conference on Neural Networks (IJCNN), 2017.

Wassergekühltes On-Board-Ladegerät mit optimiertem Kühlkanal
S. Bolte, C. Henkenius, J. Böcker, E. Kenig, A. Zibart, H. Figge, Wt Werkstattstechnik Online 107 (2017) 381ff.

Water-cooled on-board charger with optimized cooling channel
S. Bolte, C. Henkenius, J. Böcker, A. Zibart, E. Kenig, H. Figge, in: 2017 19th European Conference on Power Electronics and Applications (EPE’17 ECCE Europe), IEEE, 2017.

Calorimetric measurements with compensating temperature control
S. Bolte, L. Keuck, J.K. Afridi, N. Fröhleke, J. Böcker, in: 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), IEEE, 2017.

An iterative compensation method for production tolerances in electric drive systems
M. Ott, A. Gülec, J. Böcker, in: 2017 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2017.

Winding concepts for high frequency inductors with reduced DC resistance
S. Bolte, J.K. Afridi, J. Böcker, in: 2017 IEEE International Telecommunications Energy Conference (INTELEC), IEEE, 2017.