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5719 Publications


2019 | Dissertation | LibreCat-ID: 14849
Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems
G.F. Vaz, Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems, Universität Paderborn, 2019.
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2019 | Dissertation | LibreCat-ID: 14851
On Scheduling with Setup Times
A. Mäcker, On Scheduling with Setup Times, Universität Paderborn, 2019.
LibreCat | Files available | DOI
 

2019 | Journal Article | LibreCat-ID: 14896
ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules
A. Dann, B. Hermann, E. Bodden, IEEE Transactions on Software Engineering (2019) 1–1.
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2019 | Conference Paper | LibreCat-ID: 14897
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 | DOI | Download (ext.)
 

2019 | Conference Paper | LibreCat-ID: 14899
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.
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2019 | Journal Article | LibreCat-ID: 15001
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.
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2019 | Journal Article | LibreCat-ID: 15002 | OA
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.
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2019 | Conference Paper | LibreCat-ID: 15003
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.
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2019 | Book Chapter | LibreCat-ID: 15004
Feature Selection for Analogy-Based Learning to Rank
M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.
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2019 | Book Chapter | LibreCat-ID: 15005
Analogy-Based Preference Learning with Kernels
M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial Intelligence, Cham, 2019.
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2019 | Book Chapter | LibreCat-ID: 15006
Epistemic Uncertainty Sampling
V.-L. Nguyen, S. Destercke, E. Hüllermeier, in: Discovery Science, Cham, 2019.
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2019 | Conference Paper | LibreCat-ID: 15007 | OA
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.
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2019 | Conference Paper | LibreCat-ID: 15009
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.
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2019 | Conference Paper | LibreCat-ID: 15011 | OA
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.
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2019 | Conference Paper | LibreCat-ID: 15013
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.
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2019 | Conference Paper | LibreCat-ID: 15014
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.
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2019 | Journal Article | LibreCat-ID: 15015
Mining Rank Data
S. Henzgen, E. Hüllermeier, ACM Transactions on Knowledge Discovery from Data (2019) 1–36.
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2019 | Conference Paper | LibreCat-ID: 15080
How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics
R. Hartel, A. Dunst, in: International Conference on Multimedia Modeling, MMM, Springer, 2019, pp. 662–671.
LibreCat | DOI
 

2019 | Conference Abstract | LibreCat-ID: 15182
Multimodale Stilometrie: Herausforderungen und Potenzial kombinatorischer Bild- und Textanalysen am Beispiel Comics
A. Dunst, R. Hartel, in: DHd Konferenz 2019, Multimedial Und Multimodal, 2019.
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2019 | Conference Abstract | LibreCat-ID: 15186 LibreCat
 

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