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Mohammad Hossein Shaker
Mohammad Hossein Shaker
LMU Munich
Verifierad e-postadress på ifi.lmu.de
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How to measure uncertainty in uncertainty sampling for active learning
VL Nguyen, MH Shaker, E Hüllermeier
Machine Learning 111 (1), 89-122, 2022
1182022
Aleatoric and epistemic uncertainty with random forests
MH Shaker, E Hüllermeier
Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020
732020
Quantification of credal uncertainty in machine learning: A critical analysis and empirical comparison
E Hüllermeier, S Destercke, MH Shaker
Uncertainty in Artificial Intelligence, 548-557, 2022
172022
Ensemble-based uncertainty quantification: Bayesian versus credal inference
MH Shaker, E Hüllermeier
PROCEEDINGS 31. WORKSHOP COMPUTATIONAL INTELLIGENCE 25, 63, 2021
82021
Drift detection in text data with document embeddings
R Feldhans, A Wilke, S Heindorf, MH Shaker, B Hammer, ...
Intelligent Data Engineering and Automated Learning–IDEAL 2021: 22nd …, 2021
72021
Machine learning for estimating parameters of a convective-scale model: A comparison of neural networks and random forests
S Legler, T Janjic, MH Shaker, E Hüllermeier
PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE 1, 1, 2022
12022
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Artiklar 1–6