Hasil Pencarian - Martin Jaggi

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  1. 1
    An exponential lower bound on the complexity of regularization paths

    An exponential lower bound on the complexity of regularization paths oleh Bernd Gärtner, Martin Jaggi, Clément Maria

    Diterbitkan 2012-10-01
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  2. 2
    Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study

    Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Obse... oleh Mariko Makhmutova, Raghu Kainkaryam, Marta Ferreira, Jae Min, Martin Jaggi, Ieuan Clay

    Diterbitkan 2022-03-01
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  3. 3
    MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

    MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images oleh Klavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley

    Diterbitkan 2024-09-01
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  4. 4
    Assessment of Fatigue Using Wearable Sensors: A Pilot Study

    Assessment of Fatigue Using Wearable Sensors: A Pilot Study oleh Hongyu Luo, Pierre-Alexandre Lee, Ieuan Clay, Martin Jaggi, Valeria De Luca

    Diterbitkan 2020-11-01
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  5. 5
    What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response.

    What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response. oleh Giorgio Mannarini, Francesco Posa, Thierry Bossy, Lucas Massemin, Javier Fernandez-Castanon, Tatjana Chavdarova, Pablo Cañas, Prakhar Gupta, Martin Jaggi, Mary-Anne Hartley

    Diterbitkan 2022-01-01
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  6. 6
    What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response

    What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response oleh Giorgio Mannarini, Francesco Posa, Thierry Bossy, Lucas Massemin, Javier Fernandez-Castanon, Tatjana Chavdarova, Pablo Cañas, Prakhar Gupta, Martin Jaggi, Mary-Anne Hartley

    Diterbitkan 2022-01-01
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  7. 7
    High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning

    High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning oleh Jian Zhang, Mickael L. Perrin, Luis Barba, Jan Overbeck, Seoho Jung, Brock Grassy, Aryan Agal, Rico Muff, Rolf Brönnimann, Miroslav Haluska, Cosmin Roman, Christofer Hierold, Martin Jaggi, Michel Calame

    Diterbitkan 2022-02-01
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  8. 8
    Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study

    Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study oleh Alban Glangetas, Mary-Anne Hartley, Aymeric Cantais, Delphine S. Courvoisier, David Rivollet, Deeksha M. Shama, Alexandre Perez, Hervé Spechbach, Véronique Trombert, Stéphane Bourquin, Martin Jaggi, Constance Barazzone-Argiroffo, Alain Gervaix, Johan N. Siebert

    Diterbitkan 2021-03-01
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  9. 9
    DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

    DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries oleh Julien Heitmann, Alban Glangetas, Jonathan Doenz, Juliane Dervaux, Deeksha M. Shama, Daniel Hinjos Garcia, Mohamed Rida Benissa, Aymeric Cantais, Alexandre Perez, Daniel Müller, Tatjana Chavdarova, Isabelle Ruchonnet-Metrailler, Johan N. Siebert, Laurence Lacroix, Martin Jaggi, Alain Gervaix, Mary-Anne Hartley, with the Pneumoscope Study Group

    Diterbitkan 2023-06-01
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