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1764 Publications
2015 | Working Paper | LibreCat-ID: 14913
Ortmann, R. (2015). Uncertainty in Weighting Formulary Apportionment Factors and Its Impact on After-Tax Income of Multinational Groups (Vol. 198).
LibreCat
2015 | Conference Paper | LibreCat-ID: 15087
Böttcher, S., Hartel, R., Jacobs, T., & Maneth, S. (2015). OnlineRePair: A Recompressor for XML Structures. In 2015 Data Compression Conference (p. 439). Springer. https://doi.org/10.1109/dcc.2015.58
LibreCat
| DOI
2015 | Conference Paper | LibreCat-ID: 15088
Böttcher, S., Hartel, R., Jacobs, T., & Jeromin, M. (2015). ECST – Extended Context-Free Straight-Line Tree Grammars. In Data Science - 30th British International Conference on Databases, BICOD 2015 (pp. 186–198). Springer. https://doi.org/10.1007/978-3-319-20424-6_18
LibreCat
| DOI
2015 | Conference Abstract | LibreCat-ID: 15185
Dunst, A., Hartel, R., Hohenstein, S., & Laubrock, J. (2015). Digitale Analyse Graphischer Literatur. In DHd-Tagung 2015 - Von Daten zu Erkenntnissen.
LibreCat
2015 | Journal Article | LibreCat-ID: 15964
Leuders, S., Vollmer, M., Brenne, F., Tröster, T., & Niendorf, T. (2015). Fatigue Strength Prediction for Titanium Alloy TiAl6V4 Manufactured by Selective Laser Melting. Metallurgical and Materials Transactions A, 3816–3823. https://doi.org/10.1007/s11661-015-2864-x
LibreCat
| DOI
2015 | Journal Article | LibreCat-ID: 16049
Senge, R., & Hüllermeier, E. (2015). Fast fuzzy pattern tree learning for classification . IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
LibreCat
2015 | Journal Article | LibreCat-ID: 16051
Hüllermeier, E. (2015). From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions. Informatik Spektrum, 38(6), 500–509.
LibreCat
2015 | Journal Article | LibreCat-ID: 16053
Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets and Systems, 281, 292–299.
LibreCat
2015 | Journal Article | LibreCat-ID: 16058
Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E. (2015). On the Bayes-optimality of F-measure maximizers. Journal of Machine Learning Research, 15, 3313–3368.
LibreCat
2015 | Journal Article | LibreCat-ID: 16067
Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing, 150, 250–264.
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