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  1. Deep Learning-Based Prediction of Particulate Matter and Application of Air Quality Health ...

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  2. Developing Machine Learning Based Models for Prediction of Pesticide Properties using Molecular ...

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  3. Development of Forecasting Model for Machine Learning-Based Landfill Leachate Generation Using ...

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  4. Expansion of Roadside Air Pollution Monitoring Network in Seoul using Learning-based ...

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  5. Assessing the Impact of Temporal Resolution Using BSM1 on the Performance of Machine Learning

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  6. Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities

    Published in JAIR (2025)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Stable learning using spiking neural networks equipped with affine encoders and decoders

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems

    Subjects: “…— — — — — — e-Learning…”
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  10. Troubling “Technologies”: Exploring the Global Learning XPRIZE Using the Frameworks of Skinner and Foucault

    Subjects: “…— — — — — Distance Education and eLearning…”
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  11. An Examination of How Technological Universities Develop Cultural Capital Through Active Learning

    Subjects: “…— — — — — Distance Education and eLearning…”
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  12. Reflections on co-ordinating peer-assisted learning in a university mathematics department

    Subjects: “…— — — — — Distance Education and eLearning…”
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  13. Cost-sensitive ensemble learning for bankruptcy prediction under extreme class imbalance

    Published in Discover AI (2026)
    Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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  14. Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. A Machine Learning Model for Predicting Collaboration in Regional Co-Authorship Network

    Published in Journal of Scientometric Research (2026)
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  16. Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Book Review: Struggling to Learn: An Intimate History of School Desegregation in South Carolina

    Published in South Carolina Libraries (2023)
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  19. The impact of incidental learning on the acquisition of the sound /p/ by Arabic-speaking EFL learners

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  20. Mathematical Demands for Junior High Students During COVID-Induced Distance Learning

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