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953 Publications


2016 | Journal Article | LibreCat-ID: 10026
Rüsing, M., et al. “Vibrational Properties OfLiNb1−xTaxO3mixed Crystals.” Physical Review B, 2016, doi:10.1103/physrevb.93.184305.
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2016 | Journal Article | LibreCat-ID: 10158
Jin, Ligang, et al. “Face-Degree Bounds for Planar Critical Graphs.” Electronic Journal of Combinatorics, vol. 23, no. 3, P3.21, 2016.
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2016 | Journal Article | LibreCat-ID: 10160
Jin, Ligang, et al. “Remarks on Planar Critical Graphs.” Discrete Applied Mathematics, vol. 200, 2016, pp. 200–202.
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2016 | Conference Paper | LibreCat-ID: 10766
Ghribi, Ines, et al. “RCo-Design: New Visual Environment for Reconfigurable Embedded Systems.” Proceedings of the 30th European Simulation and Modelling Conference (ESM), 2016.
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2016 | Encyclopedia Article | LibreCat-ID: 10785
Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, Springer, 2016.
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2016 | Dissertation | LibreCat-ID: 10292
John, Thomas. Business Model Modeling Languages as Tools for Innovation:  Theory and Empirical Evidence. 2016, doi:10.17619/UNIPB/1-259 .
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2016 | Conference Paper | LibreCat-ID: 1039
Abujoda, Ahmed, et al. SDN-Based Source Routing for Scalable Service Chaining in Datacenters. Springer International Publishing, 2016, pp. 66–77.
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2016 | Conference Paper | LibreCat-ID: 10622
Anwer, Jahanzeb, and Marco Platzner. “Boolean Difference Based Reliability Evaluation of Fault Tolerant Circuit Structures on FPGAs.” Euromicro Conference on Digital System Design (DSD), 2016, doi:10.1109/DSD.2016.35.
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2016 | Conference Paper | LibreCat-ID: 10223
Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,  in Proceedings ECML/PKDD-2016.” European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 756–71.
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2016 | Conference Paper | LibreCat-ID: 10228
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete et al., 2016.
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2016 | Conference Paper | LibreCat-ID: 10230
Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Supersets Losses.” Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, edited by F. Hoffmann et al., 2016, pp. 1–8.
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2016 | Journal Article | LibreCat-ID: 10266
Riemenschneider, M., et al. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining, vol. 9, no. 10, 2016.
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2016 | Encyclopedia Article | LibreCat-ID: 1154
Geierhos, Michaela. “Text Mining.” Enzyklopädie der Wirtschaftsinformatik, edited by Norbert Gronau et al., 9th ed., GITO-Verlag, 2016.
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2016 | Conference Paper | LibreCat-ID: 11738
Chinaev, Aleksej, and Reinhold Haeb-Umbach. “A Priori SNR Estimation Using a Generalized Decision Directed Approach.” INTERSPEECH 2016, San Francisco, USA, 2016.
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2016 | Conference Paper | LibreCat-ID: 11771
Glarner, Thomas, et al. “Factor Graph Decoding for Speech Presence Probability Estimation.” 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11834
Heymann, Jahn, et al. “Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition.” Computer Speech and Language, 2016.
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2016 | Conference Paper | LibreCat-ID: 13152
Graf, Tobias, and Marco Platzner. “Monte-Carlo Simulation Balancing Revisited.” IEEE Computational Intelligence and Games, 2016.
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2016 | Journal Article | LibreCat-ID: 13164
Dubberke, Frithjof H., et al. “Speed of Sound of Oxygen in Supercritical States up to 500 K and 100 MPa.” Journal of Chemical & Engineering Data, 2016, pp. 1632–36, doi:10.1021/acs.jced.5b01007.
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2016 | Conference Paper | LibreCat-ID: 13215
Moritzer, Elmar, et al. An Approach to Non-Destructive Testing of Aged Polymers. Edited by The Polymer Processing Society, 2016.
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2016 | Journal Article | LibreCat-ID: 13241
Köster, Andreas, et al. “Assessing the Accuracy of Improved Force-Matched Water Models Derived from Ab Initio Molecular Dynamics Simulations.” Journal of Computational Chemistry, vol. 37, no. 19, 2016, pp. 1828–38, doi:10.1002/jcc.24398.
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