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Meelis Kull

University of Tartu
University of Bristol

60

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1914

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Ethical and Fairness Implications of Model Multiplicity.

2022 CoRR
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On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers.

2022 CoRR
- Markus Kängsepp
- Meelis Kull
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SPHERE house scripted dataset: A multi-sensor dataset with annotated activities of daily living recorded in a residential setting

2021
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Instance-based Label Smoothing For Better Calibrated Classification Networks.

2021 arXiv: Learning
- Mohamed Maher
- Meelis Kull
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Shift Happens: Adjusting Classifiers.

2021 arXiv: Learning
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CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

2020 IEEE Transactions on Knowledge and Data Engineering
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Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration

2019 NeurIPS | Neural Information Processing Systems
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Distribution calibration for regression

2019 ICML | International Conference on Machine Learning
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Non-parametric Bayesian Isotonic Calibration: Fighting Over-Confidence in Binary Classification.

2019 PKDD | European Conference on Principles of Data Mining and Knowledge Discovery
- Mari-Liis Allikivi
- Meelis Kull
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HyperStream: a Workflow Engine for Streaming Data.

2019 arXiv: Learning
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