Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

443 Publications


2022 | Preprint | LibreCat-ID: 30867
Tornede A, Bengs V, Hüllermeier E. Machine Learning for Online Algorithm Selection under Censored Feedback. Proceedings of the 36th AAAI Conference on Artificial Intelligence. Published online 2022.
LibreCat | arXiv
 

2022 | Preprint | LibreCat-ID: 30865
Tornede A, Gehring L, Tornede T, Wever MD, Hüllermeier E. Algorithm Selection on a Meta Level. Machine Learning. Published online 2022.
LibreCat | arXiv
 

2022 | Journal Article | LibreCat-ID: 33090
Gevers K, Tornede A, Wever MD, Schöppner V, Hüllermeier E. A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. Welding in the World. Published online 2022. doi:10.1007/s40194-022-01339-9
LibreCat | DOI
 

2022 | Report | LibreCat-ID: 36227
Hammer B, Hüllermeier E, Lohweg V, et al. Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens.; 2022. doi:10.4119/unibi/2965622
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 48780
Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz. 2022;36(3-4):211-224. doi:10.1007/s13218-022-00766-6
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 24143
Drees JP, Gupta P, Hüllermeier E, et al. Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! 14th ACM Workshop on Artificial Intelligence and Security. Published online 2021.
LibreCat
 

2021 | Journal Article | LibreCat-ID: 24148
Ramaswamy A, Hüllermeier E. Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis. IEEE Transactions on Artificial Intelligence (to appear). Published online 2021.
LibreCat
 

2021 | Journal Article | LibreCat-ID: 21004
Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 21092
Mohr F, Wever MD, Tornede A, Hüllermeier E. Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.
LibreCat
 

2021 | Conference Paper | LibreCat-ID: 21570
Tornede T, Tornede A, Wever MD, Hüllermeier E. Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. In: Proceedings of the Genetic and Evolutionary Computation Conference. ; 2021.
LibreCat
 

2021 | Journal Article | LibreCat-ID: 21636
Lienen J, Hüllermeier E. Instance weighting through data imprecisiation. International Journal of Approximate Reasoning. 2021.
LibreCat | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 21637 | OA
Lienen J, Hüllermeier E. From Label Smoothing to Label Relaxation. In: Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI. Vol 35. AAAI Press; 2021:8583-8591.
LibreCat | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 23779
Bernijazov R, Dicks A, Dumitrescu R, et al. A Meta-Review on Artificial Intelligence in Product Creation. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21). ; 2021.
LibreCat | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 22280
Lienen J, Hüllermeier E, Ewerth R, Nommensen N. Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR. ; 2021:14595-14604.
LibreCat
 

2021 | Preprint | LibreCat-ID: 22509 | OA
Lienen J, Hüllermeier E. Credal Self-Supervised Learning. arXiv:210611853. 2021.
LibreCat | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 22913
Hüllermeier E, Mohr F, Tornede A, Wever MD. Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. In: ; 2021.
LibreCat
 

2021 | Conference Paper | LibreCat-ID: 27381
Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks. In: Soares C, Torgo L, eds. Proceedings of The 24th International Conference on Discovery Science (DS 2021). Vol 12986. Lecture Notes in Computer Science. Springer; 2021:166-180. doi:10.1007/978-3-030-88942-5
LibreCat | DOI | arXiv
 

2021 | Preprint | LibreCat-ID: 30866
Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards Green Automated Machine Learning: Status Quo and Future Directions. arXiv:211105850. Published online 2021.
LibreCat | arXiv
 

2021 | Conference Paper | LibreCat-ID: 21198
Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published online 2021.
LibreCat
 

2021 | Book Chapter | LibreCat-ID: 29292 | OA
Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing; 2021. doi:10.1007/978-3-030-91608-4_11
LibreCat | Files available | DOI | Download (ext.)
 

Filters and Search Terms

(person=48129)

status=public

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed