Search Results - Gosiewska, Alicja

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  1. 1
    Seeking a Sufficient Data Volume for Railway Infrastructure Component Detection with Computer Vision Models

    Seeking a Sufficient Data Volume for Railway Infrastructure Component Detection with Computer Vision Models by Gosiewska, Alicja, Baran, Zuzanna, Baran, Monika, Rutkowski, Tomasz

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  2. 2
    Transparency, auditability, and explainability of machine learning models in credit scoring

    Transparency, auditability, and explainability of machine learning models in credit scoring by Bücker, Michael, Szepannek, Gero, Gosiewska, Alicja, Biecek, Przemyslaw

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  3. 3
    Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering

    Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering by Gosiewska, Alicja, Kozak, Anna, Biecek, Przemysław

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  4. 4
    auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics

    auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics by Gosiewska, Alicja, Biecek, Przemysław

    Published in The R journal
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  5. 5
    Outcomes of the two generations of bioresorbable scaffolds (Magmaris vs. Absorb) in acute coronary syndrome in routine clinical practice

    Outcomes of the two generations of bioresorbable scaffolds (Magmaris vs. Absorb) in acute coronary syndrome in routine clinical practice by Rola, Piotr, Włodarczak, Adrian, Łanocha, Magdalena, Barycki, Mateusz, Szudrowicz, Marek, Kulczycki, Jan J, Jaroszewska-Pozorska, Joanna, Gosiewska, Alicja, Woźnica, Katarzyna, Lesiak, Maciej, Doroszko, Adrian

    Published in Cardiology journal
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  6. 6
    Sex Differences in the Clinical Features and Outcomes of Patients with Acute Coronary Syndrome Treated with Two Generations (Absorb and Magmaris) of Bioresorbable Vascular Scaffolds

    Sex Differences in the Clinical Features and Outcomes of Patients with Acute Coronary Syndrome Treated with Two Generations (Absorb and Magmaris) of Bioresorbable Vascular Scaffold... by Włodarczak, Adrian, Rola, Piotr, Szudrowicz, Marek, Łanocha, Magdalena, Barycki, Mateusz, Kulczycki, Jan Jakub, Gosiewska, Alicja, Turkiewicz, Karol, Lesiak, Maciej, Doroszko, Adrian

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  7. 7
    The 1-Year Safety and Efficacy Outcomes of Magmaris, Novel Magnesium Bioresorbable Vascular Scaffolds in Diabetes Mellitus Patients with Acute Coronary Syndrome

    The 1-Year Safety and Efficacy Outcomes of Magmaris, Novel Magnesium Bioresorbable Vascular Scaffolds in Diabetes Mellitus Patients with Acute Coronary Syndrome by Włodarczak, Adrian, Łanocha, Magdalena, Szudrowicz, Marek, Barycki, Mateusz, Gosiewska, Alicja, Kulczycki, Jan Jakub, Lesiak, Maciej, Doroszko, Adrian, Rola, Piotr

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  8. 8
    countfitteR: efficient selection of count distributions to assess DNA damage

    countfitteR: efficient selection of count distributions to assess DNA damage by Chilimoniuk, Jarosław, Gosiewska, Alicja, Słowik, Jadwiga, Weiss, Romano, Deckert, P Markus, Rödiger, Stefan, Burdukiewicz, Michał

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  9. 9
    Interpretable Meta-Measure for Model Performance

    Interpretable Meta-Measure for Model Performance by Gosiewska, Alicja, Woźnica, Katarzyna, Biecek, Przemysław

    Published in arXiv.org
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  10. 10
    auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics

    auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics by Gosiewska, Alicja, Biecek, Przemyslaw

    Published in arXiv.org
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  11. 11
    Do Not Trust Additive Explanations

    Do Not Trust Additive Explanations by Gosiewska, Alicja, Biecek, Przemyslaw

    Published in arXiv.org
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  12. 12
    Lifting Interpretability-Performance Trade-off via Automated Feature Engineering

    Lifting Interpretability-Performance Trade-off via Automated Feature Engineering by Gosiewska, Alicja, Biecek, Przemyslaw

    Published in arXiv.org
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  13. 13
    Landscape of R packages for eXplainable Artificial Intelligence

    Landscape of R packages for eXplainable Artificial Intelligence by Maksymiuk, Szymon, Gosiewska, Alicja, Biecek, Przemyslaw

    Published in arXiv.org
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  14. 14
    Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring

    Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring by Bücker, Michael, Szepannek, Gero, Gosiewska, Alicja, Biecek, Przemyslaw

    Published in arXiv.org
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  15. 15
    EPP: interpretable score of model predictive power

    EPP: interpretable score of model predictive power by Gosiewska, Alicja, Bakala, Mateusz, Woznica, Katarzyna, Zwolinski, Maciej, Biecek, Przemyslaw

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  16. 16
    Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models

    Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models by Biecek, Przemysław, Chlebus, Marcin, Gajda, Janusz, Gosiewska, Alicja, Kozak, Anna, Ogonowski, Dominik, Sztachelski, Jakub, Wojewnik, Piotr

    Published in arXiv.org
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  17. 17
    SAFE ML: Surrogate Assisted Feature Extraction for Model Learning

    SAFE ML: Surrogate Assisted Feature Extraction for Model Learning by Gosiewska, Alicja, Gacek, Aleksandra, Lubon, Piotr, Biecek, Przemyslaw

    Published in arXiv.org
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