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  1. 1
    Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection

    Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection von Keshtmand, Nawid, Santos-Rodriguez, Raul, Lawry, Jonathan


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  2. 2
    Two-step counterfactual generation for OOD examples

    Two-step counterfactual generation for OOD examples von Keshtmand, Nawid, Santos-Rodriguez, Raul, Lawry, Jonathan

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  3. 3
    Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection

    Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection von Keshtmand, Nawid, Santos-Rodriguez, Raul, Lawry, Jonathan

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  4. 4
    Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care

    Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care von Clark, Jeffrey N, Wragg, Matthew, Nielsen, Emily, Perello-Nieto, Miquel, Keshtmand, Nawid, Ambler, Michael, Sharma, Shiv, Bourdeaux, Christopher P, Brigden, Amberly, Santos-Rodriguez, Raul

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  5. 5
    Two-step counterfactual generation for OOD examples

    Two-step counterfactual generation for OOD examples von Keshtmand, Nawid, Santos-Rodriguez, Raul, Lawry, Jonathan

    Veröffentlicht in arXiv.org

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  6. 6
    Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection

    Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection von Keshtmand, Nawid, Santos-Rodriguez, Raul, Lawry, Jonathan

    Veröffentlicht in arXiv.org

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  7. 7
    TraCE: Trajectory Counterfactual Explanation Scores

    TraCE: Trajectory Counterfactual Explanation Scores von Clark, Jeffrey N, Small, Edward A, Keshtmand, Nawid, Wan, Michelle W. L, Mayoral, Elena Fillola, Werner, Enrico, Bourdeaux, Christopher P, Santos-Rodriguez, Raul

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  8. 8
    Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care

    Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care von Clark, Jeffrey N, Wragg, Matthew, Nielsen, Emily, Perello-Nieto, Miquel, Keshtmand, Nawid, Ambler, Michael, Sharma, Shiv, Bourdeaux, Christopher P, Brigden, Amberly, Santos-Rodriguez, Raul

    Veröffentlicht in arXiv.org

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  9. 9
    TraCE: Trajectory Counterfactual Explanation Scores

    TraCE: Trajectory Counterfactual Explanation Scores von Clark, Jeffrey N, Small, Edward A, Keshtmand, Nawid, Wan, Michelle W L, Mayoral, Elena Fillola, Werner, Enrico, Bourdeaux, Christopher P, Santos-Rodriguez, Raul

    Veröffentlicht in arXiv.org

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