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452 Publications


2023 | Conference Paper | LibreCat-ID: 51209
Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain
J.M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: M. Leyer, J. Wichmann (Eds.), LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.
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2023 | Conference Paper | LibreCat-ID: 48778
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
M. Muschalik, F. Fumagalli, R. Jagtani, B. Hammer, E. Huellermeier, in: Proceedings of the World Conference on Explainable Artificial Intelligence (XAI), 2023.
LibreCat | DOI
 

2023 | Book Chapter | LibreCat-ID: 48776
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference (ECML PKDD), Springer Nature Switzerland, 2023.
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2023 | Conference Paper | LibreCat-ID: 48775
On Feature Removal for Explainability in Dynamic Environments
F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, in: Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2023.
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 52230
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in: Advances in Neural Information Processing Systems (NeurIPS), 2023, pp. 11515--11551.
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2022 | Preprint | LibreCat-ID: 30868
A Survey of Methods for Automated Algorithm Configuration
E. Schede, J. Brandt, A. Tornede, M.D. Wever, V. Bengs, E. Hüllermeier, K. Tierney, ArXiv:2202.01651 (2022).
LibreCat | arXiv
 

2022 | Conference Paper | LibreCat-ID: 32311
Property-Driven Testing of Black-Box Functions
A. Sharma, V. Melnikov, E. Hüllermeier, H. Wehrheim, in: Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), IEEE, 2022, pp. 113–123.
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2022 | Conference Paper | LibreCat-ID: 34542
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning
A. Campagner, J. Lienen, E. Hüllermeier, D. Ciucci, in: Lecture Notes in Computer Science, Springer, 2022, pp. 57–70.
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2022 | Preprint | LibreCat-ID: 31546 | OA
Conformal Credal Self-Supervised Learning
J. Lienen, C. Demir, E. Hüllermeier, ArXiv:2205.15239 (2022).
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2022 | Preprint | LibreCat-ID: 30867
Machine Learning for Online Algorithm Selection under Censored Feedback
A. Tornede, V. Bengs, E. Hüllermeier, Proceedings of the 36th AAAI Conference on Artificial Intelligence (2022).
LibreCat | arXiv
 

2022 | Preprint | LibreCat-ID: 30865
Algorithm Selection on a Meta Level
A. Tornede, L. Gehring, T. Tornede, M.D. Wever, E. Hüllermeier, Machine Learning (2022).
LibreCat | arXiv
 

2022 | Journal Article | LibreCat-ID: 33090
A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials
K. Gevers, A. Tornede, M.D. Wever, V. Schöppner, E. Hüllermeier, Welding in the World (2022).
LibreCat | DOI
 

2022 | Report | LibreCat-ID: 36227
Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens
B. Hammer, E. Hüllermeier, V. Lohweg, A. Schneider, W. Schenck, U. Kuhl, M. Braun, A. Pfeifer, C.-A. Holst, M. Schmidt, G. Schomaker, T. Tornede, Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens, 2022.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 48780
Agnostic Explanation of Model Change based on Feature Importance
M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, KI - Künstliche Intelligenz 36 (2022) 211–224.
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 24143
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!
J.P. Drees, P. Gupta, E. Hüllermeier, T. Jager, A. Konze, C. Priesterjahn, A. Ramaswamy, J. Somorovsky, 14th ACM Workshop on Artificial Intelligence and Security (2021).
LibreCat
 

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

2021 | Journal Article | LibreCat-ID: 21004
AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.
LibreCat | DOI
 

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

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

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

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