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2188 Publications


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.
LibreCat | Files available | DOI
 

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 | 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: 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 | Book Chapter | LibreCat-ID: 16251 LibreCat | DOI
 

2019 | Preprint | LibreCat-ID: 16341 | OA
Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels
S. Brandt, C. Jähn, M. Fischer, F. Meyer auf der Heide, ArXiv:1904.08225 (2019).
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2019 | Mastersthesis | LibreCat-ID: 14546
Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers
T. Hansmeier, Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers, Universität Paderborn, 2019.
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2019 | Conference Paper | LibreCat-ID: 13107
A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers
J. Schumacher, S. Rezat, in: U.T. Jankvist, M. Van den Heuvel-Panhuizen, M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), Freudenthal Group & Freudenthal Institute, Utrecht University and ERME, Utrecht, the Netherlands, n.d.
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2019 | Conference Abstract | LibreCat-ID: 13132
From Automated to On-The-Fly Machine Learning
F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, in: INFORMATIK 2019: 50 Jahre Gesellschaft Für Informatik – Informatik Für Gesellschaft, Gesellschaft für Informatik e.V., Bonn, 2019, pp. 273–274.
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2019 | Conference Paper | LibreCat-ID: 13250
Hyper-Reactive Tabu Search for MaxSAT
C. Ansótegui, B. Heymann, J. Pon, M. Sellmann, K. Tierney, in: Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 309–325.
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2019 | Conference Paper | LibreCat-ID: 13271 | OA
All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis
T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK, 2019.
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2019 | Conference Paper | LibreCat-ID: 13442
Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface
S.A. Manavi, E. Kenig, in: Computer Aided Chemical Engineering, 29th European Symposium on Computer Aided Process Engineering, Eindhoven, Netherlands, 2019.
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2019 | Conference Paper | LibreCat-ID: 13443 | OA
Deep reinforcement learning for scheduling in large-scale networked control systems
A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.
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2019 | Conference Paper | LibreCat-ID: 10093
Combining Verifiers in Conditional Model Checking via Reducers
D. Beyer, M.-C. Jakobs, T. Lemberger, H. Wehrheim, in: S. Becker, I. Bogicevic, G. Herzwurm, S. Wagner (Eds.), Software Engineering and Software Management (SE/SWM 2019), Stuttgart, Germany, February 18-22, 2019, GI, 2019, pp. 151--152.
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2019 | Conference Paper | LibreCat-ID: 10094
Testing Balancedness of ML Algorithms
A. Sharma, H. Wehrheim, in: S. Becker, I. Bogicevic, G. Herzwurm, S. Wagner (Eds.), Software Engineering and Software Management, {SE/SWM} 2019, Stuttgart, Germany, February 18-22, 2019, {GI}, 2019, pp. 157–158.
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2019 | Conference Paper | LibreCat-ID: 10232 | OA
Automating Multi-Label Classification Extending ML-Plan
M.D. Wever, F. Mohr, A. Tornede, E. Hüllermeier, in: 2019.
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