Online F-Measure Optimization
B. Szörényi, R. Busa-Fekete, K. Dembczynski, E. Hüllermeier, in: In Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.

A CBR Approach to the Angry Birds Game
A. El Mesaoudi-Paul, E. Hüllermeier, in: In Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.

Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations
D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp. 110–111.

Locally weighted regression through data imprecisiation
S. Lu, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.

Depth estimation in monocular images: Quantitative versus qualitative approaches
R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–240.

IT Project Portfolio Selection in the Presence of Project Interactions
C. Meier, IT Project Portfolio Selection in the Presence of Project Interactions, Universität Paderborn, 2015.

On the Activating Power of Gamification –  Empirical Evidence from an Online Community
T. Mutter, On the Activating Power of Gamification –  Empirical Evidence from an Online Community, Universität Paderborn, 2015.

On the Bayes-Optimality of F-Measure Maximizers
W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, In Journal of Machine Learning Research 15 (2015) 3333–3388.

Does machine learning need fuzzy logic?
E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.

Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study
A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264.

From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions
E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509.

Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems
S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N.R. Pal, A. Pradera, IEEE Transactions on Fuzzy Systems 23 (2015) 1259–1273.

Fast Fuzzy Pattern Tree Learning of Classification
R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.

Mechanism for nuclear and electron spin excitation by radio frequency current
S. Müllegger, E. Rauls, U. Gerstmann, S. Tebi, G. Serrano, S. Wiespointner-Baumgarthuber, W.G. Schmidt, R. Koch, Physical Review B 92 (2015).

Single PTCDA molecules on planar and stepped KCl and NaCl(100) surfaces
H. Aldahhak, W.G. Schmidt, E. Rauls, Surface Science (2015) 278–281.

Diindenoperylene adsorption on Cu(111) studied with density-functional theory
H. Aldahhak, E. Rauls, W.G. Schmidt, Surface Science (2015) 260–265.

Interwire coupling forIn(4×1)/Si(111) probed by surface transport
F. Edler, I. Miccoli, S. Demuth, H. Pfnür, S. Wippermann, A. Lücke, W.G. Schmidt, C. Tegenkamp, Physical Review B 92 (2015).

Water adsorbate influence on the Cu(110) surface optical response
A. Baghbanpourasl, W.G. Schmidt, M. Denk, C. Cobet, M. Hohage, P. Zeppenfeld, K. Hingerl, Surface Science 641 (2015) 231–236.

The Cu2O2torture track for a real-life system: [Cu2(btmgp)2O2]2+oxo and peroxo species in density functional calculations
M. Rohrmüller, A. Hoffmann, C. Thierfelder, S. Herres-Pawlis, W.G. Schmidt, Journal of Computational Chemistry 36 (2015) 1672–1685.

Nanopatterning on H-Terminated Si(111) Explained as Dynamic Equilibrium of the Chemical Reaction with Methanol
P. Thissen, E. Fuchs, K. Roodenko, T. Peixoto, B. Batchelor, D. Smith, W.G. Schmidt, Y. Chabal, The Journal of Physical Chemistry C 119 (2015) 16947–16953.