@inproceedings{10240,
  author       = {{Henzgen, Sascha and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)}},
  pages        = {{422--437}},
  title        = {{{Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations}}},
  year         = {{2015}},
}

@inproceedings{10241,
  author       = {{Szörényi, B. and Busa-Fekete, Robert and Paul, Adil and Hüllermeier, Eyke}},
  booktitle    = {{in Advances in Neural Information Processing Systems 28 (NIPS 2015)}},
  pages        = {{604--612}},
  title        = {{{Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach}}},
  year         = {{2015}},
}

@inproceedings{10242,
  author       = {{Szörényi, B. and Busa-Fekete, Robert and Dembczynski, K. and Hüllermeier, Eyke}},
  booktitle    = {{in Advances in Neural Information Processing Systems 28 (NIPS 2015)}},
  pages        = {{595--603}},
  title        = {{{Online F-Measure Optimization}}},
  year         = {{2015}},
}

@inproceedings{10243,
  author       = {{El Mesaoudi-Paul, Adil and Hüllermeier, Eyke}},
  booktitle    = {{in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015)}},
  pages        = {{68--77}},
  title        = {{{A CBR Approach to the Angry Birds Game}}},
  year         = {{2015}},
}

@inproceedings{10244,
  author       = {{Schäfer, Dirk and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML)}},
  pages        = {{110--111}},
  title        = {{{Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations}}},
  year         = {{2015}},
}

@inproceedings{10245,
  author       = {{Lu, S. and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings 25. Workshop Computational Intelligence}},
  pages        = {{97--104}},
  title        = {{{Locally weighted regression through data imprecisiation}}},
  year         = {{2015}},
}

@inproceedings{10246,
  author       = {{Ewerth, Ralph and Balz, A. and Gehlhaar, J. and Dembczynski, K. and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings 25. Workshop Computational Intelligence}},
  pages        = {{235--240}},
  title        = {{{Depth estimation in monocular images: Quantitative versus qualitative approaches}}},
  year         = {{2015}},
}

@phdthesis{10293,
  author       = {{Meier, Christian}},
  title        = {{{IT Project Portfolio Selection in the Presence of Project Interactions}}},
  year         = {{2015}},
}

@phdthesis{10294,
  author       = {{Mutter, Tobias}},
  title        = {{{On the Activating Power of Gamification –  Empirical Evidence from an Online Community}}},
  year         = {{2015}},
}

@article{10319,
  author       = {{Waegeman, W. and Dembczynski, K. and Jachnik, A. and Cheng, W. and Hüllermeier, Eyke}},
  journal      = {{in Journal of Machine Learning Research}},
  pages        = {{3333--3388}},
  title        = {{{On the Bayes-Optimality of F-Measure Maximizers}}},
  volume       = {{15}},
  year         = {{2015}},
}

@article{10320,
  author       = {{Hüllermeier, Eyke}},
  journal      = {{Fuzzy Sets and Systems}},
  pages        = {{292--299}},
  title        = {{{Does machine learning need fuzzy logic?}}},
  volume       = {{281}},
  year         = {{2015}},
}

@article{10321,
  author       = {{Shaker, Ammar and Hüllermeier, Eyke}},
  journal      = {{Neurocomputing}},
  pages        = {{250--264}},
  title        = {{{Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study}}},
  volume       = {{150}},
  year         = {{2015}},
}

@article{10322,
  author       = {{Hüllermeier, Eyke}},
  journal      = {{Informatik Spektrum}},
  number       = {{6}},
  pages        = {{500--509}},
  title        = {{{From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and alternative directions}}},
  volume       = {{38}},
  year         = {{2015}},
}

@article{10323,
  author       = {{Garcia-Jimenez, S. and Bustince, U. and Hüllermeier, Eyke and Mesiar, R. and Pal, N.R. and Pradera, A.}},
  journal      = {{IEEE Transactions on Fuzzy Systems}},
  number       = {{4}},
  pages        = {{1259--1273}},
  title        = {{{Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems}}},
  volume       = {{23}},
  year         = {{2015}},
}

@article{10324,
  author       = {{Senge, Robin and Hüllermeier, Eyke}},
  journal      = {{IEEE Transactions on Fuzzy Systems}},
  number       = {{6}},
  pages        = {{2024--2033}},
  title        = {{{Fast Fuzzy Pattern Tree Learning of Classification}}},
  volume       = {{23}},
  year         = {{2015}},
}

@article{1370,
  author       = {{Gries, Thomas and Palnau, Irene}},
  issn         = {{1554-8597}},
  journal      = {{Peace Economics, Peace Science and Public Policy}},
  number       = {{4}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Sustaining Civil Peace: A Configurational Comparative Analysis}}},
  doi          = {{10.1515/peps-2015-0020}},
  volume       = {{21}},
  year         = {{2015}},
}

@techreport{1374,
  author       = {{Gries, Thomas and Grundmann, Rainer and Palnau, Irene and Redlin, Margarete}},
  title        = {{{Does technological change drive inclusive industrialization? A review of major concepts and findings}}},
  year         = {{2015}},
}

@inproceedings{24287,
  abstract     = {{Terahertz frequency band of 0.06 - 10 THz is especially interesting for ultra-high-speed wireless communication to achieve data rates of 100 Gbps or higher. To accommodate this demand, advanced terahertz signal processing techniques need to be investigated. Parallel Sequence Spread Spectrum (PSSS) is a physical layer (PHY) baseband technology that seems to be suited for being used for ultra-high speed wireless communication since the receiver architecture is especially simple and can be implemented almost completely in analog hardware. In this paper, a PSSS modulated signal at a chip rate of 20 Gcps with a spectral efficiency of (only) 1 bit/s/Hz is transmitted using a linearity limited 240 GHz wireless frontend. PSSS transceiver models are realized offline in MATLAB/Simulink. The PSSS transmitter generates the PSSS modulated symbols that are loaded onto an Arbitrary Waveform generator (AWG) and then transmitted using the available 240 GHz wireless frontend. A Digital Storage Oscilloscope (DSO) samples and stores the received signal. The PSSS receiver performs synchronization, channel estimation and demodulation. For a coded data rate of 20 Gbps, an eye opening of 40% and a BER of 5.4·10 -5 has been measured. These results are highly promising to achieve data rates of up to 100 Gbps with PSSS modulation using a RF-frontend having higher linear operating range and thus allowing increasing the bandwidth efficiency to 4 b/s/Hz.}},
  author       = {{KrishneGowda, Karthik and Messinger, Tobias  and Wolf, Andreas and Kraemer, Rolf and Kallfass, Ingmar and Scheytt, Christoph}},
  booktitle    = {{ICUWB 2015}},
  title        = {{{Towards 100 Gbps Wireless Communication in THz Band with PSSS Modulation: A Promising Hardware in the Loop Experiment}}},
  doi          = {{10.1109/ICUWB.2015.7324520}},
  year         = {{2015}},
}

@inproceedings{24286,
  author       = {{Scheytt, Christoph and Javed, Abdul Rehman}},
  booktitle    = {{Workshop on Approximate Computing}},
  location     = {{Paderborn}},
  title        = {{{Shifting the Analog-Digital Boundary in Signal Processing: Should We Use Mixed-Signal "Approximate" Computing?}}},
  year         = {{2015}},
}

@misc{24288,
  author       = {{Adelt, Peer}},
  publisher    = {{Universität Paderborn, Fakultät EIM}},
  title        = {{{Analyse von Ausführungszeiten durch Integration einer statischen WCET-Analyse mit einer dynamischen Befehlssatzsimulation am Beispiel der TriCore-Architektur}}},
  year         = {{2015}},
}