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11438 Publications


2017 | Journal Article | LibreCat-ID: 10007
(n)- AND (n + 1)-LAYERED COMPOSITE SPHERE MODELS FOR THERMO-CHEMO-MECHANICAL EFFECTIVE PROPERTIES
R. Mahnken, C. Dammann, P. Lenz, International Journal for Multiscale Computational Engineering 15 (2017) 295–322.
LibreCat | DOI
 

2017 | Conference Paper | LibreCat-ID: 10008
"Fuzzy and stochastic analysis of rubber like materials"
E. Penner, I. Caylak, R. Mahnken, in: Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Rhode Island, 15.-17.06.2017, 2017, pp. 554–564.
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2017 | Bachelorsthesis | LibreCat-ID: 101
Erweiterung eines kontextsensitiven Autovervollständigungstools zur natürlichsprachlichen Softwarespezifikation
L. Rehmer, Erweiterung eines kontextsensitiven Autovervollständigungstools zur natürlichsprachlichen Softwarespezifikation, Universität Paderborn, 2017.
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2017 | Book (Editor) | LibreCat-ID: 10146
Handbuch Gestaltung digitaler und vernetzter Arbeitswelten
G.W. Maier, G. Engels, E. Steffen, eds., Handbuch Gestaltung digitaler und vernetzter Arbeitswelten, 1st ed., Springer Berlin Heidelberg, 2017.
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2017 | Book Chapter | LibreCat-ID: 10147
Digitale Zukunft: ein inter- und transdisziplinäres Thema
D. Simon, E. Steffen, in: G.W. Maier, G. Engels, E. Steffen (Eds.), Handbuch Gestaltung digitaler und vernetzter Arbeitswelten, 1st ed., Springer Berlin Heidelberg, 2017, pp. 1–12.
LibreCat
 

2017 | Journal Article | LibreCat-ID: 10155
Nowhere-zero 5-flows on cubic graphs with oddness 4
G. Mazzuoccolo, E. Steffen, J. Graph Theory 85 (2017) 363 – 371.
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2017 | Journal Article | LibreCat-ID: 10156
Factors of edge-chromatic critical graphs: a brief survey and some equivalences
S. Bej, E. Steffen, Lecture Notes of Seminario Interdisciplinare Di Matematica 14 (2017) 37–48.
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2017 | Journal Article | LibreCat-ID: 10157
Petersen cores and the oddness of cubic graphs
L. Jin, E. Steffen, J. Graph Theory 84 (2017) 109–120.
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2017 | Dissertation | LibreCat-ID: 102
Engineering Self-Adaptive Systems with Simulation-Based Performence Prediction
M. Becker, Engineering Self-Adaptive Systems with Simulation-Based Performence Prediction, Universität Paderborn, 2017.
LibreCat | DOI
 

2017 | Conference Paper | LibreCat-ID: 10204
Estimating relative depth in single images via rankboost
R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, E. Hüllermeier, in: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924.
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2017 | Conference Paper | LibreCat-ID: 10205
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
M. Ahmadi Fahandar, E. Hüllermeier, I. Couso, in: Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.
LibreCat
 

2017 | Conference Paper | LibreCat-ID: 10206 | OA
Planning with Independent Task Networks
F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.
LibreCat | Files available | DOI
 

2017 | Conference Paper | LibreCat-ID: 10207
Predicting rankings of software verification tools
M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.
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2017 | Conference Paper | LibreCat-ID: 10208
Maximum Likelihood Estimation and Coarse Data
I. Couso, D. Dubois, E. Hüllermeier, in: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.
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2017 | Conference Paper | LibreCat-ID: 10209
Learning to Rank based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.
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2017 | Conference Paper | LibreCat-ID: 10212 LibreCat
 

2017 | Conference Paper | LibreCat-ID: 10213
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics
V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.
LibreCat
 

2017 | Conference Paper | LibreCat-ID: 10216
Learning TSK Fuzzy Rules from Data Streams
A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
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2017 | Journal Article | LibreCat-ID: 10267
Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application in accounting
M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational Research 258 (2017) 295–306.
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