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448 Publications
2023 | Conference Paper | LibreCat-ID: 51209
Hanselle, J. M., Kornowicz, J., Heid, S., Thommes, K., & Hüllermeier, E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. In M. Leyer & J. Wichmann (Eds.), LWDA’23: Learning, Knowledge, Data, Analysis. .
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2022 | Conference Paper | LibreCat-ID: 32311
Sharma, A., Melnikov, V., Hüllermeier, E., & Wehrheim, H. (2022). Property-Driven Testing of Black-Box Functions. Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), 113–123.
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2022 | Conference Paper | LibreCat-ID: 34542
Campagner, A., Lienen, J., Hüllermeier, E., & Ciucci, D. (2022). Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. Lecture Notes in Computer Science, 13633, 57–70.
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2022 | Preprint | LibreCat-ID: 31546 | 
Lienen, J., Demir, C., & Hüllermeier, E. (2022). Conformal Credal Self-Supervised Learning. In arXiv:2205.15239.
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2022 | Journal Article | LibreCat-ID: 33090
Gevers, K., Tornede, A., Wever, M. D., Schöppner, V., & Hüllermeier, E. (2022). A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. Welding in the World. https://doi.org/10.1007/s40194-022-01339-9
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2022 | Report | LibreCat-ID: 36227
Hammer, B., Hüllermeier, E., Lohweg, V., Schneider, A., Schenck, W., Kuhl, U., Braun, M., Pfeifer, A., Holst, C.-A., Schmidt, M., Schomaker, G., & Tornede, T. (2022). Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens. https://doi.org/10.4119/unibi/2965622
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2022 | Journal Article | LibreCat-ID: 48780
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2022). Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz, 36(3–4), 211–224. https://doi.org/10.1007/s13218-022-00766-6
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2021 | Journal Article | LibreCat-ID: 24143
Drees, J. P., Gupta, P., Hüllermeier, E., Jager, T., Konze, A., Priesterjahn, C., Ramaswamy, A., & Somorovsky, J. (2021). Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! 14th ACM Workshop on Artificial Intelligence and Security.
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2021 | Journal Article | LibreCat-ID: 24148
Ramaswamy, A., & Hüllermeier, E. (2021). Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis. IEEE Transactions on Artificial Intelligence (to Appear).
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2021 | Journal Article | LibreCat-ID: 21004
Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276
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2021 | Journal Article | LibreCat-ID: 21092
Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (n.d.). Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.
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2021 | Conference Paper | LibreCat-ID: 21570
Tornede, T., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021). Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference.
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2021 | Journal Article | LibreCat-ID: 21636
Lienen, J., & Hüllermeier, E. (2021). Instance weighting through data imprecisiation. International Journal of Approximate Reasoning.
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2021 | Conference Paper | LibreCat-ID: 21637 |
Lienen, J., & Hüllermeier, E. (2021). From Label Smoothing to Label Relaxation. In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI (Vol. 35, pp. 8583–8591). Online: AAAI Press.
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2021 | Conference Paper | LibreCat-ID: 23779
Bernijazov, R., Dicks, A., Dumitrescu, R., Foullois, M., Hanselle, J. M., Hüllermeier, E., Karakaya, G., Ködding, P., Lohweg, V., Malatyali, M., Meyer auf der Heide, F., Panzner, M., & Soltenborn, C. (2021). A Meta-Review on Artificial Intelligence in Product Creation. Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21). 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) - Workshop “AI and Product Design,” Montreal, Kanada.
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2021 | Conference Paper | LibreCat-ID: 22280
Lienen, J., Hüllermeier, E., Ewerth, R., & Nommensen, N. (2021). Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 14595–14604.
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2021 | Preprint | LibreCat-ID: 22509 |
Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning. ArXiv:2106.11853.
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