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2184 Publications
2016 | Journal Article | LibreCat-ID: 7484
Hoffmann, S. P., Albert, M., & Meier, C. (2016). Fabrication of fully undercut ZnO-based photonic crystal membranes with 3D optical confinement. Superlattices and Microstructures, 97, 397–408. https://doi.org/10.1016/j.spmi.2016.07.006
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| DOI
2016 | Book Chapter | LibreCat-ID: 8885
Beutner, M., & Schneider, J. (2016). The Project SEEL – Basic information about the context. In M. Beutner (Ed.), Sounds and Audios in E-learning scenarios. Results and Discussions on the basic of the SEEL project (pp. 10–19). Köln.
LibreCat
2016 | Book Chapter | LibreCat-ID: 8887
Beutner, M., & Schneider, J. (2016). The strcture of the SEEL Project. In M. Beutner (Ed.), Sounds and Audios in E-learning scenarios. Results and Discussions on the basis of the SEEl project (pp. 20–32).
LibreCat
2016 | Book Chapter | LibreCat-ID: 8888
Beutner, M., & Schneider, J. (2016). Situation of visual impaired in Germany. In M. Beutner (Ed.), Sounds and Audios in E-learning scenarios. Results and Discussions on the basis of the SEEl project (pp. 34–42). Köln.
LibreCat
2016 | Book Chapter | LibreCat-ID: 8889
Beutner, M. (2016). Quasi-Experimental Design concerning learning with sounds in education. In M. Beutner (Ed.), Sounds and Audios in E-learning scenarios. Results and Discussions on the basis of the SEEl project (pp. 56–64). Köln.
LibreCat
2016 | Book Chapter | LibreCat-ID: 8890
Beutner, M., & Schneider, J. (2016). The general structure of the SEEL Teacher Training Course. In M. Beutner (Ed.), Sounds and Audios in E-learning scenarios. Results and Discussions on the basis of the SEEl project (pp. 64–65). Köln.
LibreCat
2016 | Book Chapter | LibreCat-ID: 8891
Beutner, M. (2016). Insights in the evaluation results of the SEEL Project. In M. Beutner (Ed.), Sounds and Audios in E-learning scenarios. Results and Discussions on the basis of the SEEl project (pp. 81–83). Köln.
LibreCat
2016 | Conference Paper | LibreCat-ID: 9963
Kohl, S., Sextro, W., & Schulze, S. (2016). Aspects of Flexible Viscoelastic Suspension Modeling for Frictional Rolling Contact Analysis using ADAMS. In The 2nd International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV 2016), Cyberjaya, Malaysia, 2016. (pp. 1–12). Cyberjaya, Malaysia, 2016.
LibreCat
2016 | Journal Article | LibreCat-ID: 10661
Graf, T., & Platzner, M. (2016). Adaptive playouts for online learning of policies during Monte Carlo Tree Search. Journal Theoretical Computer Science, 644, 53–62. https://doi.org/10.1016/j.tcs.2016.06.029
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| DOI
2016 | Encyclopedia Article | LibreCat-ID: 10785
Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining. Springer.
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2016 | Conference Paper | LibreCat-ID: 11834 | 
Heymann, J., Drude, L., & Haeb-Umbach, R. (2016). Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In Computer Speech and Language.
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2016 | Conference Paper | LibreCat-ID: 11920 |
Walter, O., & Haeb-Umbach, R. (2016). Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In 38th German Conference on Pattern Recognition (GCPR 2016).
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2016 | Book (Editor) | LibreCat-ID: 12972
Lewis, P. R., Platzner, M., Rinner, B., Tørresen, J., & Yao, X. (Eds.). (2016). Self-aware Computing Systems: An Engineering Approach. Cham: Springer. https://doi.org/10.1007/978-3-319-39675-0
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2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the identifiability of models in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
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2016 | Conference Paper | LibreCat-ID: 15401
Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.
LibreCat
2016 | Conference Paper | LibreCat-ID: 15402
Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
LibreCat
2016 | Conference Paper | LibreCat-ID: 14881
Chen, W.-F., & Ku, L.-W. (2016). UTCNN: a Deep Learning Model of Stance Classification on Social Media Text. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics (pp. 1635–1645).
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2016 | Conference Paper | LibreCat-ID: 15111
Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts. In In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands (pp. 450–461). Springer.
LibreCat
2016 | Journal Article | LibreCat-ID: 144
Monien, B., & Mavronicolas, M. (2016). The complexity of equilibria for risk-modeling valuations. Theoretical Computer Science, 634, 67–96. https://doi.org/10.1016/j.tcs.2016.04.013
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2016 | Book Chapter | LibreCat-ID: 10214
Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining. Springer.
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