@inbook{16392,
  author       = {{Feldkord, Björn and Malatyali, Manuel and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications}},
  isbn         = {{9783319125671}},
  issn         = {{0302-9743}},
  title        = {{{A Dynamic Distributed Data Structure for Top-k and k-Select Queries}}},
  doi          = {{10.1007/978-3-319-98355-4_18}},
  year         = {{2018}},
}

@inproceedings{10145,
  author       = {{Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}},
  booktitle    = {{Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI)}},
  pages        = {{2951--2958}},
  title        = {{{Learning to Rank Based on Analogical Reasoning}}},
  year         = {{2018}},
}

@inproceedings{10148,
  author       = {{El Mesaoudi-Paul, Adil and Hüllermeier, Eyke and Busa-Fekete, Robert}},
  booktitle    = {{Proc. 35th Int. Conference on Machine Learning (ICML)}},
  pages        = {{3469--3477}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}},
  title        = {{{Ranking Distributions based on Noisy Sorting}}},
  year         = {{2018}},
}

@inproceedings{10149,
  author       = {{Hesse, M. and Timmermann, J. and Hüllermeier, Eyke and Trächtler, Ansgar}},
  booktitle    = {{Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24}},
  pages        = {{15--20}},
  title        = {{{A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart}}},
  year         = {{2018}},
}

@inbook{10152,
  author       = {{Mencia, E.Loza and Fürnkranz, J. and Hüllermeier, Eyke and Rapp, M.}},
  booktitle    = {{Explainable and Interpretable Models in Computer Vision and Machine Learning}},
  editor       = {{Jair Escalante, H. and Escalera, S. and Guyon, I. and Baro, X. and Güclüütürk, Y. and Güclü, U. and van Gerven, M.A.J.}},
  pages        = {{81--113}},
  publisher    = {{Springer}},
  title        = {{{Learning interpretable rules for multi-label classification}}},
  year         = {{2018}},
}

@inproceedings{10181,
  author       = {{Nguyen, Vu-Linh and Destercke, Sebastian and Masson, M.-H. and Hüllermeier, Eyke}},
  booktitle    = {{Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI)}},
  pages        = {{5089--5095}},
  title        = {{{Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty}}},
  year         = {{2018}},
}

@inproceedings{10184,
  author       = {{Schäfer, Dirk and Hüllermeier, Eyke}},
  booktitle    = {{Proc. 21st Int. Conference on Discovery Science (DS)}},
  pages        = {{161--175}},
  title        = {{{Preference-Based Reinforcement Learning Using Dyad Ranking}}},
  year         = {{2018}},
}

@article{10276,
  author       = {{Schäfer, Dirk and Hüllermeier, Eyke}},
  journal      = {{Machine Learning}},
  number       = {{5}},
  pages        = {{903--941}},
  title        = {{{Dyad Ranking Using Plackett-Luce Models based on joint feature representations}}},
  volume       = {{107}},
  year         = {{2018}},
}

@article{10331,
  author       = {{Kiesel, Johannes and Kneist, Florian and Alshomary, Milad and Stein, Benno and Hagen, Matthias and Potthast, Martin}},
  issn         = {{1936-1955}},
  journal      = {{Journal of Data and Information Quality}},
  pages        = {{1--25}},
  title        = {{{Reproducible Web Corpora}}},
  doi          = {{10.1145/3239574}},
  year         = {{2018}},
}

@article{1369,
  abstract     = {{In budget games, players compete over resources with finite budgets. For every resource, a player has a specific demand and as a strategy, he chooses a subset of resources. If the total demand on a resource does not exceed its budget, the utility of each player who chose that resource equals his demand. Otherwise, the budget is shared proportionally. In the general case, pure Nash equilibria (NE) do not exist for such games. In this paper, we consider the natural classes of singleton and matroid budget games with additional constraints and show that for each, pure NE can be guaranteed. In addition, we introduce a lexicographical potential function to prove that every matroid budget game has an approximate pure NE which depends on the largest ratio between the different demands of each individual player.}},
  author       = {{Drees, Maximilian and Feldotto, Matthias and Riechers, Sören and Skopalik, Alexander}},
  issn         = {{1382-6905}},
  journal      = {{Journal of Combinatorial Optimization}},
  publisher    = {{Springer Nature}},
  title        = {{{Pure Nash equilibria in restricted budget games}}},
  doi          = {{10.1007/s10878-018-0269-7}},
  year         = {{2018}},
}

@misc{5417,
  abstract     = {{Molecular Dynamic (MD) simulations are computationally intensive and accelerating them using specialized hardware is a topic of investigation in many studies. One of the routines in the critical path of MD simulations is the three-dimensional Fast Fourier Transformation (FFT3d). The potential in accelerating FFT3d using hardware is usually bound by bandwidth and memory. Therefore, designing a high throughput solution for an FPGA that overcomes this problem is challenging.
In this thesis, the feasibility of offloading FFT3d computations to FPGA implemented using OpenCL is investigated. In order to mask the latency in memory access, an FFT3d that overlaps computation with communication is designed. The implementa- tion of this design is synthesized for the Arria 10 GX 1150 FPGA and evaluated with the FFTW benchmark. Analysis shows a better performance using FPGA over CPU for larger FFT sizes, with the 643 FFT showing a 70% improvement in runtime using FPGAs.
This FFT3d design is integrated with CP2K to explore the potential in accelerating molecular dynamic simulations. Evaluation of CP2K simulations using FPGA shows a 41% improvement in runtime in FFT3d computations over CPU for larger FFT3d designs.}},
  author       = {{Ramaswami, Arjun}},
  keywords     = {{FFT: FPGA, CP2K, OpenCL}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA}}},
  year         = {{2018}},
}

@inproceedings{11710,
  author       = {{Chen, Wei-Fan and Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno}},
  booktitle    = {{Proceedings of the 11th International Conference on Natural Language Generation}},
  pages        = {{79--88}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{Learning to Flip the Bias of News Headlines}}},
  year         = {{2018}},
}

@inproceedings{14873,
  author       = {{Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and Potthast, Martin}},
  booktitle    = {{Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval}},
  pages        = {{1033--1036}},
  title        = {{{A User Study on Snippet Generation: Text Reuse vs. Paraphrases}}},
  year         = {{2018}},
}

@inproceedings{14885,
  author       = {{Potthast, Martin and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno}},
  booktitle    = {{Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval}},
  pages        = {{3--5}},
  title        = {{{A Plan for Ancillary Copyright: Original Snippets.}}},
  year         = {{2018}},
}

@inproceedings{5831,
  abstract     = {{Many websites offer links to social media sites for convenient content sharing. Unfortunately, those sharing capabilities are quite restricted and it is seldom possible to share content with other services, like those provided by a user's favorite applications or smart devices. In this paper, we present Semantic Data Mediator (SDM) --- a flexible middleware linking a vast number of services to millions of websites. Based on reusable repositories of service descriptions defined by the crowd, users can easily fill a personal registry with their favorite services, which can then be linked to websites by SDM. For this, SDM leverages semantic data, which is already available on millions of websites due to search engine optimization. Further support for our approach from website or service developers is not required. To enable the use of a broad range of services, data conversion services are automatically composed by SDM to transform data according to the needs of the different services. In addition to linking web services, various service adapters allow services of applications and smart devices to be linked as well. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness.}},
  author       = {{Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels, Gregor}},
  booktitle    = {{Service-Oriented Computing -- ICSOC 2017 Workshops}},
  editor       = {{Braubach, Lars and Murillo, Juan M. and Kaviani, Nima and Lama, Manuel and Burgueño, Loli and Moha, Naouel and Oriol, Marc}},
  isbn         = {{978-3-319-91764-1}},
  pages        = {{388--392}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Semantic Data Mediator: Linking Services to Websites}}},
  doi          = {{10.1007/978-3-319-91764-1_36}},
  year         = {{2018}},
}

@inproceedings{1379,
  author       = {{Seemann, Nina and Geierhos, Michaela and Merten, Marie-Luis and Tophinke, Doris and Wever, Marcel Dominik and Hüllermeier, Eyke}},
  booktitle    = {{Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft}},
  editor       = {{Eckart, Kerstin  and Schlechtweg, Dominik }},
  location     = {{Stuttgart, Germany}},
  title        = {{{Supporting the Cognitive Process in Annotation Tasks}}},
  year         = {{2018}},
}

@inproceedings{3873,
  author       = {{Blömer, Johannes and Eidens, Fabian and Juhnke, Jakob}},
  booktitle    = {{The International Conference on Cryptology And Network Security (CANS)}},
  isbn         = {{978-3-030-00434-7}},
  location     = {{Naples, Italy}},
  pages        = {{235--255}},
  publisher    = {{Springer}},
  title        = {{{Enhanced Security of Attribute-Based Signatures}}},
  doi          = {{10.1007/978-3-030-00434-7_12}},
  volume       = {{11124}},
  year         = {{2018}},
}

@inproceedings{2379,
  abstract     = {{In this paper, we introduce the notion of delegatable attribute-based anonymous credentials (DAAC). Such systems offer fine-grained anonymous access control and they give the credential holder the ability to issue more restricted credentials to other users. In our model, credentials are parameterized with attributes that (1) express what the credential holder himself has been certified and (2) define which attributes he may issue to others. Furthermore, we present a practical construction of DAAC. For this construction, we deviate from the usual approach of embedding a certificate chain in the credential. Instead, we introduce a novel approach for which we identify a new primitive we call dynamically malleable signatures (DMS) as the main ingredient. This primitive may be of independent interest. We also give a first instantiation of DMS with efficient protocols. }},
  author       = {{Blömer, Johannes and Bobolz, Jan}},
  booktitle    = {{ACNS 2018 Applied Cryptography & Network security}},
  location     = {{Leuven, Belgium}},
  title        = {{{Delegatable Attribute-based Anonymous Credentials from Dynamically Malleable Signatures}}},
  doi          = {{10.1007/978-3-319-93387-0_12}},
  year         = {{2018}},
}

@inproceedings{48303,
  author       = {{Habernal, Ivan and Wachsmuth, Henning and Gurevych, Iryna and Stein, Benno}},
  booktitle    = {{Proceedings of the 2018 Conference of the North American Chapter of          the Association for Computational Linguistics: Human Language          Technologies, Volume 1 (Long Papers)}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{The Argument Reasoning Comprehension Task: Identification and            Reconstruction of Implicit Warrants}}},
  doi          = {{10.18653/v1/n18-1175}},
  year         = {{2018}},
}

@inproceedings{48302,
  author       = {{Habernal, Ivan and Wachsmuth, Henning and Gurevych, Iryna and Stein, Benno}},
  booktitle    = {{Proceedings of the 2018 Conference of the North American Chapter of          the Association for Computational Linguistics: Human Language          Technologies, Volume 1 (Long Papers)}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies            in Web Argumentation}}},
  doi          = {{10.18653/v1/n18-1036}},
  year         = {{2018}},
}

