SootDiff: bytecode comparison across different Java compilers
A. Dann, B. Hermann, E. Bodden, in: Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis  - SOAP 2019, 2019.
LibreCat: /record/14897
DOI: 10.1145/3315568.3329966

Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts
S. Kruger, B. Hermann, in: 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE), 2019.
LibreCat: /record/14899
DOI: 10.1109/ge.2019.00012

Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern
C. Mair, W. Scheffler, I. Senger, C. Sureth-Sloane, Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern, 2019.
LibreCat: /record/14902

Steuerkomplexität im Vergleich zwischen Deutschland und Österreich - Eine Analyse des Status quo
T. Hoppe, M. Rechbauer, S. Sturm, Steuer und Wirtschaft 96 (2019) 397–412.
LibreCat: /record/14904

Violations of Dominance in Decision-Making
T. Kourouxous, T. Bauer, Business Research 12 (2019) 209–239.
LibreCat: /record/14905
DOI: 10.1007/s40685-019-0093-7

Using Impact Evaluation to Examine Domestic and International Cooperative Compliance Programs
A. Majdanska, Y. Wu, Tax Notes International 93 (2019) 1045–1065.
LibreCat: /record/14910

Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter
L. Ebers, M. Hammer, M.B. Berkemeier, A. Menzel, J. Förstner, OSA Continuum 2 (2019) 3288.
LibreCat: /record/14990
DOI: 10.1364/osac.2.003288

Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning
I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence Magazine (2019) 31–44.
LibreCat: /record/15001
DOI: 10.1109/mci.2018.2881642

Multi-target prediction: a unifying view on problems and methods
W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery 33 (2019) 293–324.
LibreCat: /record/15002
DOI: 10.1007/s10618-018-0595-5

Set-Valued Prediction in Multi-Class Classification
T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, W. Waegeman, in: Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019, 2019.
LibreCat: /record/15003

Feature Selection for Analogy-Based Learning to Rank
M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.
LibreCat: /record/15004
DOI: 10.1007/978-3-030-33778-0_22

Analogy-Based Preference Learning with Kernels
M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial Intelligence, Cham, 2019.
LibreCat: /record/15005
DOI: 10.1007/978-3-030-30179-8_3

Epistemic Uncertainty Sampling
V.-L. Nguyen, S. Destercke, E. Hüllermeier, in: Discovery Science, Cham, 2019.
LibreCat: /record/15006
DOI: 10.1007/978-3-030-33778-0_7

Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.
LibreCat: /record/15007
DOI: 10.1016/j.jmva.2019.02.017

Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries
N. Epple, S. Dari, L. Drees, V. Protschky, A. Riener, in: 2019 IEEE Intelligent Vehicles Symposium (IV), 2019.
LibreCat: /record/15009
DOI: 10.1109/ivs.2019.8814100

Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
A. Tornede, M.D. Wever, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.
LibreCat: /record/15011

A Reduction of Label Ranking to Multiclass Classification
K. Brinker, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Würzburg, Germany, 2019.
LibreCat: /record/15013

Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants
E. Hüllermeier, I. Couso, S. Diestercke, in: Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
LibreCat: /record/15014

Mining Rank Data
S. Henzgen, E. Hüllermeier, ACM Transactions on Knowledge Discovery from Data (2019) 1–36.
LibreCat: /record/15015
DOI: 10.1145/3363572

Intrinsically lubricated tool inserts for deep drawing applications generated by selective laser melting
F. Bader, F. Hengsbach, K.-P. Hoyer, W. Homberg, M. Schaper, in: PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019, 2019.
LibreCat: /record/15024
DOI: 10.1063/1.5112720