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Przemysław Biecek

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Position paper: Do not explain (vision models) without context

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Apr 28, 2024
Paulina Tomaszewska, Przemysław Biecek

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Global Counterfactual Directions

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Apr 18, 2024
Bartlomiej Sobieski, Przemysław Biecek

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CNN-based explanation ensembling for dataset, representation and explanations evaluation

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Apr 16, 2024
Weronika Hryniewska-Guzik, Luca Longo, Przemysław Biecek

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A comparative analysis of deep learning models for lung segmentation on X-ray images

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Apr 09, 2024
Weronika Hryniewska-Guzik, Jakub Bilski, Bartosz Chrostowski, Jakub Drak Sbahi, Przemysław Biecek

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Interpretable Machine Learning for Survival Analysis

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Mar 15, 2024
Sophie Hanna Langbein, Mateusz Krzyziński, Mikołaj Spytek, Hubert Baniecki, Przemysław Biecek, Marvin N. Wright

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Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography

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Feb 18, 2024
Przemysław Bombiński, Patryk Szatkowski, Bartłomiej Sobieski, Tymoteusz Kwieciński, Szymon Płotka, Mariusz Adamek, Marcin Banasiuk, Mariusz I. Furmanek, Przemysław Biecek

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NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques

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Jan 30, 2024
Weronika Hryniewska-Guzik, Bartosz Sawicki, Przemysław Biecek

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Deep spatial context: when attention-based models meet spatial regression

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Jan 18, 2024
Paulina Tomaszewska, Elżbieta Sienkiewicz, Mai P. Hoang, Przemysław Biecek

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Big Tech influence over AI research revisited: memetic analysis of attribution of ideas to affiliation

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Dec 20, 2023
Stanisław Giziński, Paulina Kaczyńska, Hubert Ruczyński, Emilia Wiśnios, Bartosz Pieliński, Przemysław Biecek, Julian Sienkiewicz

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survex: an R package for explaining machine learning survival models

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Aug 30, 2023
Mikołaj Spytek, Mateusz Krzyziński, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemysław Biecek

Figure 1 for survex: an R package for explaining machine learning survival models
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