A quantitative approach for the comparison of additive local explanation methods von Doumard, Emmanuel, Aligon, Julien, Escriva, Elodie, Excoffier, Jean-Baptiste, Monsarrat, Paul, Soulé-Dupuy, Chantal

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Evolution of hospitalized patient characteristics through the first three COVID-19 waves in Paris area using machine learning analysis von Jung, Camille, Excoffier, Jean-Baptiste, Raphaël-Rousseau, Mathilde, Salaün-Penquer, Noémie, Ortala, Matthieu, Chouaid, Christos

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Coalitional Strategies for Efficient Individual Prediction Explanation von Ferrettini, Gabriel, Escriva, Elodie, Aligon, Julien, Excoffier, Jean-Baptiste, Soulé-Dupuy, Chantal

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Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs von Abitbol, Elie, Miere, Alexandra, Excoffier, Jean-Baptiste, Mehanna, Carl-Joe, Amoroso, Francesca, Kerr, Samuel, Ortala, Matthieu, Souied, Eric H

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Comparison of predictive models for cumulative live birth rate after treatment with ART von Bardet, Léna, Excoffier, Jean-Baptiste, Salaun-Penquer, Noemie, Ortala, Matthieu, Pasquier, Maud, Mathieu d'Argent, Emmanuelle, Massin, Nathalie

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Analysis of COVID-19 inpatients in France during first lockdown of 2020 using explainability methods von Excoffier, Jean-Baptiste, Salaün-Penquer, Noémie, Ortala, Matthieu, Raphaël-Rousseau, Mathilde, Chouaid, Christos, Jung, Camille

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Coalitional strategies for efficient individual prediction explanation von Ferrettini, Gabriel, Escriva, Elodie, Aligon, Julien, Jean-Baptiste Excoffier, Soulé-Dupuy, Chantal

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Effective data exploration through clustering of local attributive explanations von Escriva, Elodie, Lefrere, Tom, Martin, Manon, Aligon, Julien, Chanson, Alexandre, Excoffier, Jean-Baptiste, Labroche, Nicolas, Soulé-Dupuy, Chantal, Monsarrat, Paul

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How to Make the Most of Local Explanations: Effective Clustering Based on Influences von Escriva, Elodie, Aligon, Julien, Excoffier, Jean-Baptiste, Monsarrat, Paul, Soulé-Dupuy, Chantal

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Generalist embedding models are better at short-context clinical semantic search than specialized embedding models von Excoffier, Jean-Baptiste, Roehr, Tom, Figueroa, Alexei, Papaioannou, Jens-Michalis, Bressem, Keno, Ortala, Matthieu

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LongHealth: A Question Answering Benchmark with Long Clinical Documents von Adams, Lisa, Busch, Felix, Han, Tianyu, Excoffier, Jean-Baptiste, Ortala, Matthieu, Löser, Alexander, Aerts, Hugo JWL, Kather, Jakob Nikolas, Truhn, Daniel, Bressem, Keno

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Generalist embedding models are better at short-context clinical semantic search than specialized embedding models von Jean-Baptiste Excoffier, Roehr, Tom, Figueroa, Alexei, Papaaioannou, Michalis, Bressem, Keno, Ortala, Matthieu

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LongHealth: A Question Answering Benchmark with Long Clinical Documents von Adams, Lisa, Busch, Felix, Han, Tianyu, Jean-Baptiste Excoffier, Ortala, Matthieu, Löser, Alexander, Aerts, Hugo JWL, Kather, Jakob Nikolas, Truhn, Daniel, Bressem, Keno

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