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  1. Learners' and Teachers' perspectives on the use of code switching in Geography teaching and learning

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  2. An Empirical Study of Automated Machine Learning Python Libraries Using Source Code Analysis

    Published in Applied Computer Systems (2026)
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  3. Modelling email traffic workloads with RNN and LSTM models

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  4. Model Averaging Is Asymptotically Better Than Model Selection For Prediction

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  5. Model Calibration with Machine Learning by Haussamer, Nicolai Haussamer

    Published 2019
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  6. The development of a model for hybrid teaching and learning in institutions of higher learning in nursing

    Published 2024
    Subjects: “…Model…”
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  7. Automatic assignment of diagnosis codes to free-form text medical notes by Strydom, Stefan

    Published 2021
    Subjects: “…Clinical auto-coding systems…”
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  8. Reinforcement learning algorithms to model learning and decision-making in individuals with depressive disorders by Niit, Lizelle

    Published 2023
    “…I start by giving an overview of the reinforcement learning framework, and detail some of the reinforcement learning models that have been used to understand mental illness better. …”
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  9. Agent-based adaptive e-learning model for any learning management system

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  10. A Boolean algebraical model for machine learning by Cloete, I.(Ian)

    Published 2012
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  11. Hierarchical Causal Models

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  12. A model-driven approach to ensure trust in the IoT

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  13. Cascaded Diffusion Models for High Fidelity Image Generation

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  14. A Machine Learning Model for Octane Number Prediction by Spencer, Victor

    Published 2024
    “…Machine learning models are data driven with primarily regression and deep learning methods being used in literature as prediction models. …”
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  15. Analysing retinal fundus images with deep learning models by Ofosu Mensah, Samuel

    Published 2023
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  16. Machine Learning for Modeling in an Elementary Differential Equations Class

    Published in CODEE Journal (2026)
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  17. Can Language Models Learn Typologically Implausible Languages?

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  18. Reinforcement Learning-Based Symbolic Regression for Load Modeling

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  19. Learning Models and Modalities to Build Data Equity Competencies

    Published in Harvard Data Science Review (2026)
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