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2188 Publications
2019 | Journal Article | LibreCat-ID: 12890 | 
Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation
L. Drude, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing (2019).
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| DOI
L. Drude, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing (2019).
2019 | Conference Paper | LibreCat-ID: 15371 |
The Softwarised Network Data Zoo
M. Peuster, S.B. Schneider, H. Karl, in: IEEE/IFIP 15th International Conference on Network and Service Management (CNSM), IEEE/IFIP, Halifax, 2019.
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M. Peuster, S.B. Schneider, H. Karl, in: IEEE/IFIP 15th International Conference on Network and Service Management (CNSM), IEEE/IFIP, Halifax, 2019.
2019 | Journal Article | LibreCat-ID: 15425
Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury.
A. Gokeler, D. Neuhaus, A. Benjaminse, D. Grooms, J. Baumeister, Sports Med 49 (2019) 853–865.
LibreCat
| DOI
| PubMed | Europe PMC
A. Gokeler, D. Neuhaus, A. Benjaminse, D. Grooms, J. Baumeister, Sports Med 49 (2019) 853–865.
2019 | Conference Paper | LibreCat-ID: 15578
Program Comprehension: Identifying Learning Trajectories for Novice Programmers
C. Izu, C. Schulte, A. Aggarwal, Q. I. Cutts, R. Duran, M. Gutica, B. Heinemann, E. Kraemer, V. Lonati, C. Mirolo, R. Weeda, in: Proceedings of the 2019 (ACM) Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019, 2019, pp. 261–262.
LibreCat
| DOI
C. Izu, C. Schulte, A. Aggarwal, Q. I. Cutts, R. Duran, M. Gutica, B. Heinemann, E. Kraemer, V. Lonati, C. Mirolo, R. Weeda, in: Proceedings of the 2019 (ACM) Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019, 2019, pp. 261–262.
2019 | Conference Paper | LibreCat-ID: 15720
Critical Incidents for Technology Enhanced Learning in Vocational Education and Training
A. Wilke, J. Magenheim, in: IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019, 2019, pp. 892–899.
LibreCat
| DOI
A. Wilke, J. Magenheim, in: IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019, 2019, pp. 892–899.
2019 | Journal Article | LibreCat-ID: 15741
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).
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| DOI
A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).
2019 | Conference Paper | LibreCat-ID: 15812 |
Improving CTC Using Stimulated Learning for Sequence Modeling
J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.
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J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.
2019 | Mastersthesis | LibreCat-ID: 15883
Incremental learning with Support Vector Machine on embedded platforms
S. Kumar Jeyakumar, Incremental Learning with Support Vector Machine on Embedded Platforms, 2019.
LibreCat
S. Kumar Jeyakumar, Incremental Learning with Support Vector Machine on Embedded Platforms, 2019.
2019 | Conference (Editor) | LibreCat-ID: 14829
The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019
C. Scheideler, P. Berenbrink, eds., The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019, ACM, 2019.
LibreCat
| DOI
C. Scheideler, P. Berenbrink, eds., The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019, ACM, 2019.
2019 | Working Paper | LibreCat-ID: 14902 |
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.
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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.
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.
LibreCat
| DOI
I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence Magazine (2019) 31–44.
2019 | Journal Article | LibreCat-ID: 15002 |
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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| DOI
W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery 33 (2019) 293–324.
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.
LibreCat
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.
2019 | Book Chapter | LibreCat-ID: 15004
Feature Selection for Analogy-Based Learning to Rank
M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.
LibreCat
| DOI
M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.
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.
LibreCat
| DOI
M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial Intelligence, Cham, 2019.
2019 | Conference Paper | LibreCat-ID: 15007 |
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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V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.
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.
LibreCat
K. Brinker, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Würzburg, Germany, 2019.
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.
LibreCat
E. Hüllermeier, I. Couso, S. Diestercke, in: Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
2019 | Book Chapter | LibreCat-ID: 16251
Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier
O. Müller, in: The Art of Structuring, 2019.
LibreCat
| DOI
O. Müller, in: The Art of Structuring, 2019.
2019 | Preprint | LibreCat-ID: 16341 |
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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S. Brandt, C. Jähn, M. Fischer, F. Meyer auf der Heide, ArXiv:1904.08225 (2019).