Mohammad Hossein Shaker

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 6

Top Topics

Machine Learning

Uncertainty Sampling

Regression Forests

Top Venues

Publications

Eyke Hüllermeier, Sébastien Destercke, Mohammad Hossein Shaker
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison. UAI (2022)
Vu-Linh Nguyen, Mohammad Hossein Shaker, Eyke Hüllermeier
How to measure uncertainty in uncertainty sampling for active learning. Mach. Learn. 111 (1) (2022)
Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hüllermeier
Drift Detection in Text Data with Document Embeddings. IDEAL (2021)
Mohammad Hossein Shaker, Eyke Hüllermeier
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference. CoRR (2021)
Mohammad Hossein Shaker, Eyke Hüllermeier
Aleatoric and Epistemic Uncertainty with Random Forests. CoRR (2020)
Mohammad Hossein Shaker, Eyke Hüllermeier
Aleatoric and Epistemic Uncertainty with Random Forests. IDA (2020)