Mohammad Hossein Shaker

According to our database, Mohammad Hossein Shaker authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Random Forest Calibration.

Mohammad Hossein Shaker, Eyke Hüllermeier

CoRR, January, 2025

Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data.

Nastaran Saberi, Mohammad Hossein Shaker, Claude R. Duguay, Katharine Andrea Scott, Eyke Hüllermeier

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2022

How to measure uncertainty in uncertainty sampling for active learning.

Vu-Linh Nguyen, Mohammad Hossein Shaker, Eyke Hüllermeier

Mach. Learn., 2022

Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison.

Eyke Hüllermeier, Sébastien Destercke, Mohammad Hossein Shaker

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference.

Mohammad Hossein Shaker, Eyke Hüllermeier

CoRR, 2021

Drift Detection in Text Data with Document Embeddings.

Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, Eyke Hüllermeier

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

Aleatoric and Epistemic Uncertainty with Random Forests.

Mohammad Hossein Shaker, Eyke Hüllermeier

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020