Mohammad Hossein Shaker

100

202020212022202320244 18 58 98 44

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Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
Vu-Linh NguyenJunior Professor (CPJ) in Computer Science, University of Technology of CompiègneVerified email at hds.utc.fr
Sébastien DesterckeResearcher in Computer Science, CNRS-HeudiasycVerified email at hds.utc.fr
Axel-Cyrille Ngonga NgomoProfessor of Data Science at Paderborn UniversityVerified email at upb.de
Stefan HeindorfPaderborn UniversityVerified email at uni-paderborn.de
Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Adrian WilkePaderborn UniversityVerified email at uni-paderborn.de
Robert FeldhansBielefeld UniversityVerified email at techfak.uni-bielefeld.de
Tijana JanjicProfessor of Data Assimilation, Mathematical Institute for machine learning and Data ScienceVerified email at ku.de

Mohammad Hossein Shaker

Verified email at ifi.lmu.de


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
How to measure uncertainty in uncertainty sampling for active learning VL Nguyen, MH Shaker, E Hüllermeier Machine Learning 111 (1), 89-122, 2022	118	2022
Aleatoric and epistemic uncertainty with random forests MH Shaker, E Hüllermeier Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020	72	2020
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	17	2022
Ensemble-based uncertainty quantification: Bayesian versus credal inference MH Shaker, E Hüllermeier PROCEEDINGS 31. WORKSHOP COMPUTATIONAL INTELLIGENCE 25, 63, 2021	8	2021
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	7	2021
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	1	2022

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