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  1. LCPP: Learning Curve Plus Plus

    Published in Journal of Open Source Software (2026)
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  2. Application of machine learning in diabetes diagnosis

    Published in Biometrical Letters (2025)
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  3. Transcribing Medieval Manuscripts for Machine Learning

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  4. An Augmentation Overlap Theory of Contrastive Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Geometry and Stability of Supervised Learning Problems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Reinforcement Learning for Infinite-Dimensional Systems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Inherent Tradeoffs in Learning Fair Representations

    Subjects: “…— — — — — — e-Learning…”
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  8. Toolbox for Multimodal Learn (scikit-multimodallearn)

    Subjects: “…— — — — — — e-Learning…”
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  9. Cognitivism Learning Theory, Strategies and Examples

    Subjects: “…— — — — — Distance Education and eLearning…”
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  10. Foreword: Implementing Adaptive Learning at Scale

    Subjects: “…— — — — — Distance Education and eLearning…”
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  11. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Optimizing Data Collection for Machine Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. An Augmentation Overlap Theory of Contrastive Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Geometry and Stability of Supervised Learning Problems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. Reinforcement Learning for Infinite-Dimensional Systems

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Combining Evolution and Learning in Computational Ecosystems

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  18. Learning and decision-making in artificial animals

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  19. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Learning conditional distributions on continuous spaces

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
    Get full text
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